In this episode, Ted sits down with Kyle Poe, Vice President of Legal Innovation & Strategy at Legora, to discuss how AI is reshaping legal services and what that means for law firms navigating rapid change. From moving from private practice into legal tech to advising firms on build vs buy decisions, Kyle shares his expertise in legal innovation, client collaboration, and technology strategy. Grounded in real-world experience, this conversation helps law firm leaders think more clearly about differentiation, delivery, and value in an AI-driven legal market.
In this episode, Kyle shares insights on how to:
Navigate the transition from traditional law firm roles into legal technology leadership
Use AI to enhance legal service delivery without losing human judgment and relationships
Rethink pricing, collaboration, and workflows as client expectations evolve
Evaluate vendor partnerships and make smarter build vs buy decisions
Prepare firms and lawyers for the future of legal employment in an AI-enabled world
Key takeaways:
AI is transforming how legal work is delivered, but people and relationships still matter most
Client collaboration is becoming a core differentiator for modern law firms
Legal tech adoption is accelerating, but many firms are still early in the journey
Build vs buy decisions require strategic clarity, not fear of missing out
The future of law depends on combining technology with trusted human expertise
About the guest, Kyle Poe
Kyle Poe is Vice President of Legal Innovation & Strategy at Legora, where he works with law firms and legal departments to apply AI in ways that transform both legal practice and business operations. A former litigation partner at Morgan, Lewis & Bockius LLP, Kyle brings hands-on experience using analytics and AI to manage complex litigation and build data-driven legal workflows. He combines deep legal expertise with a strategic technology mindset to help organizations rethink how legal work is delivered.
“Training in law firms today is highly unequal. It’s very unequal who gets access to the mentorship opportunities. AI can help us bridge that gap and you level that playing field where everybody has access to AI in a firm.”
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Kyle Poe, how are you this afternoon?
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I'm doing awesome.
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This is actually the third podcast I've recorded today.
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um Yeah, today's a busy day.
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Normally I do like one a week, but we had a ton of travel in the late fall, so we burned
through our backlog.
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Normally we keep a big backlog, so I'm rebuilding the pipeline again, so to speak.
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Well, it's great to have you on.
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You and I got to know each other before, back when you were in the, still on the law firm
side, you've now moved to the vendor side.
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And it's great to finally have you on the show.
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We got a great agenda.
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Before we jump in, why don't you just do a quick introduction and tell us who you are,
what you do and where you do it.
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Sure.
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So Kyle Poe, VP of legal innovation and strategy here at Legora.
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So former practicing attorney, I practiced law for 14 years, most of which at Morgan
Lewis, where I was an associate and then a partner there.
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uh My practice was primarily mass tort and product liability litigation, but I also
dabbled in labor and employment as well as just other commercial litigation.
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Really early in my career, I got involved in the tech side of legal practice.
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So building custom technology solutions internally at Morgan Lewis.
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which led me ultimately to using AI at the firm and using it for my own practice.
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I got to see firsthand how powerful AI was and that gave me the conviction that this was
really going to be a game changer.
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I had been doing legal tech and building software in the firm for a decade and nothing
before that was as powerful or as compelling as AI had been.
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I wanted to be part of this wave and so I decided to leave at that time and go on to the
vendor side as you said.
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led me to here at Legora.
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And what I do here is I work with customers, help them understand the technology as well
as adapt it for their own practices as well as their own business.
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So really thinking about the future of legal practice and how this is changing not only
what they're doing on a day-to-day basis, but also kind of the next level in terms of how
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they're reshaping their pricing, their packaging, their delivery of legal services using
AI.
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Yeah, you know, it's interesting.
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You don't see many partners that make the transition into the tech side of the business.
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Like what drove that?
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Was it just your passion?
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Yeah, I I had seen, I mean, there have been a couple of us who have made that jump.
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I think it's, it is unprecedented, but I think this is we sort of live in unprecedented
times, you know, is AI, there's nothing like AI in terms of the breadth of experience, you
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know, I had been doing innovation internally, as I said at the firm.
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And, you know, I did it originally for my own master of practice.
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And then I got a reputation as being like the tech enabled lawyer.
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And so people would come to me, you know, I would speak to
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you know, partners throughout the firm.
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And they would ask like, hey, can you help?
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And I built up a team of data analysts and engineers and developers, a team of about 10 by
the time I left.
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And so I had resources to deploy.
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But most of the time when I would talk to partners and I would ask them, okay, you know,
what do you do on a day-to-day basis?
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You know, how's your business structured?
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What are your associates doing?
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Your mid-levels doing?
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What are your pain points?
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Most of the time, like 90 % of the time, I would come back to them and say, you know,
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whatever I'm building, which is a lot of databases, matter management, statistical
analytics, most of those approaches, kind pre-gen AI technologies, weren't really adept at
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helping the vast majority of the partners that I would talk to.
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And so for the most of the time, I would just tell them, what I have and what I'm able to
do isn't really going to make a huge impact for your practice.
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Basically, before gen AI, for you to have a good use case using pre-gen AI technologies,
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You need to have a practice that had a lot of repeatability to it, that had a lot of scale
to it.
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Often you need to find a practice that already sort of had the right business model in
place, say like a fixed fee or alternative fees or contingency fees, for it to really make
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sense to deploy pre-gen AI technologies.
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And so when GenAI came out and I started using it, it was just so clear.
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mean, look, computers learn to speak English.
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They learn to speak natural language for the first time with GenAI and LLMs.
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the basically 90, there's 90 % of
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partners I spoke to who I could no longer help or I couldn't help before, all of a sudden
I was in position to go back to them and tell them the time is now.
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The technology has advanced to that point.
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And so I was ready to go all in.
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think others, this is back in 2023, 2024 timeframe, not everyone was so sold on the
technology.
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think there was a, especially at that time, the initial knee jerk reaction of a lot of
clients was like, don't use gen AI.
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There's a lot of fear, I think, early on, whereas I was leaning in.
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And so it just became clear that if I wanted to have the impact, a broad impact, that the
moment demanded that it would be outside the firm at that point.
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Interesting.
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Yeah, and your days inside the firm, you had a big part in the ExtraNet that Morgan Lewis
kind of built their own custom ExtraNet platform on SharePoint.
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Correct.
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Yeah.
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Was that SharePoint on-prem or SharePoint online?
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Okay.
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I think we eventually moved to SharePoint Online.
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Yeah.
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So, and that's kind of how you and I got connected was your experience around that.
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I've spent the last 17 years in the legal collaboration space started in 2008 with a
company called Acrowire.
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And we did a lot of time and materials consulting, building custom solutions like the one
that you guys built in-house.
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Most firms don't have those have the chops, you know, or the personnel to deliver on an
engagement like that.
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Morgan Lewis being a big firm obviously did, but yeah, you learned a ton in that process
and then your current role, you've kind of translated that and helped them with their
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portal product, correct?
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That's right, yeah.
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Tell us a little bit about kind of what the thinking was with Portal and where you see it
going.
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Yeah, so the work was, you know, from the early days was envisioned to be a collaborative
AI workspace for lawyers where you could collaborate initially internally within a firm.
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So you can share it between different teams who work in a firm, share content more
broadly.
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As we were working with firms to develop work, you know, they would create workflows that
came out earlier this year, the ability to kind of automate multiple multi-step workflows
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using AI and these fully agentic experiences.
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As we were building that out for uh our clients, for our customers, they uh began asking,
this is really cool, this is really awesome that they have these experiences.
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And they were wondering if they could share that with their clients directly.
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broadly speaking, the way we see it is a couple of fronts.
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One is that AI is changing the speed of delivery.
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So the responsiveness that a firm can be now is far greater than it ever could have been
before.
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the time of performing certain types of legal tasks, particularly things like first pass
reviews or things like due diligence, these kinds of tasks are being accelerated greatly.
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And as you're able to complete these tasks a lot faster, clients expect faster, more
responsive delivery of those services.
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And something like email, which is really what most of us are competing against, right?
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So email is by far the dominant way.
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that lawyers and clients collaborate today.
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Like that's the big competitor out there is uh just email and like kind of the status quo.
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And so that was maybe a suitable format when it took a month to do a due diligence.
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know, having the results come to you in a static Excel spreadsheet maybe was a suitably
slow delivery mechanism and suitably, you know, advanced mechanism.
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for that kind of legacy work, work performed in a legacy manner.
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But once you can complete that work within a matter of days or within a day now, having it
be performed by an AI and then double checked by attorneys, clients expect a quicker, a
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more enhanced service and delivery of that work product.
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And so now you're delivering the work product directly through a portal where they can
then interact with the work product.
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So they can then use AI to then ask questions of that work product.
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And so it just creates this overall better experience for the customer.
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Yeah, and you and I had a conversation about kind of where, where Lagora portal fits into
the bigger picture.
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And I think it, the, the capabilities that Lagora portal provides are a very narrow, but
important slice of the big picture.
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I shared a graphic with you.
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I can share it quickly on the screen.
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Most people listen to this podcast.
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They don't actually, I might not be able to let's see here.
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just to kind of put in context where I see legora portal playing, which is really in that
kind of practice space where, you know, intake document, Q and a playbooks, co-authoring,
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drafting, shared tabular review, all those sorts of things are very practice of law
specific.
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And I see that as a necessary, but still fairly narrow slice.
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I expect that slice to get bigger.
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Over time as AI's capabilities grow and more work from the practice gets fed, becomes tech
enabled.
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Um, but you know, when we were at a TLTF summit, you guys announced portal, like, I don't
know, two or three days and everybody's like, Hey, are you worried about, you know, ex
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your extra net product?
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And I was like, no, these things are really complimentary.
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If anything, and I wrote an article about it on LinkedIn, I'm actually excited.
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that you guys and then Harvey later announced shared spaces, I'm excited that there's real
money being put into this collaboration space because it's been so badly neglected.
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And you know this because you helped build a tool to facilitate it.
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It's been so badly neglected that there's very little overlap with what we do, really very
little to anything in the practice of law space.
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we're more focused on the broader relationship, know, like open and closed matters,
historical, you know, legal spend, attorney profile information that are billing time to
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the matters, the legal team, all of that sort of stuff, model document sharing, more kind
of business of law stuff.
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So yeah, I was actually excited, but it really, the reason I wrote that article, I was
shocked on how many people
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got confused by thinking that what you were doing competed with us.
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And these were by, I had a couple of former high Q guys asked me this.
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And I'm like, dude, you know what, you understand the landscape.
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I'm surprised that you think so.
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Anyway, we're glad to see you guys come in and actually in Harvey too, and put some
investment here because it's been a badly neglected space.
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Yeah, I think that, you know, especially as somebody who, I mean, I first got involved in
extranets really early in my career.
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And, you know, I certainly I had an impact where, you I own practice using them and
delivering, you know, providing client reporting through these, through these portals.
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So the clients can understand what we were doing, like with the results that we were
getting for our clients.
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So like communicating to them the substantive results of our practice.
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And certainly, you know, I think that the
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The adoption though of portals or extranets as know, oftentimes they're called has been
fairly limited, right?
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It's been, you I mean, basically a little bit more advanced than a secure file transfer in
a lot of instances.
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And so the potential, I think a lot of people have seen for a long time, myself included,
like we saw robust potential in these client collaboration portals and enhancing the
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collaboration between uh law firms and their in-house counsel.
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But it's always, it's never lived up.
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to that potential.
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And I think that, even the things I did with Laura Lewis, just, we barely were scratching
the surface.
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So I think that when I look at that pie chart you presented, I think it's probably more or
less accurate as to where portals are today.
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I think that you're absolutely right that like portals today are not delivering, people
really aren't delivering a lot of legal services, a lot of final work products.
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Certainly they're not creating new service lines, right?
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Like self-service legal service.
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uh
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service delivery through portal today.
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Very little of that's being done, particularly in the AMLOS space.
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So there's so much more upside.
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I think we're going to see a couple of things.
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One is you're going to see that pie grow.
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The demand for portal services, both on the business law and the practice of law side, is
going to skyrocket.
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Again, just because we're so early days.
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And then I think also, just because practices of law has been such a small portion of what
that is historically,
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if that's going to grow.
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And I think AI is going be the thing that drives that, right?
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Like I said earlier, it's going to be one, just you expect to see better experiences.
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know, like email is no longer suitable in an age of AI, clients know that their firms are
using AI throughout the process to accelerate delivery.
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And then as firms are going the next, I think the next step though, is as firms are
productizing legal services, right?
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So this is kind of the big...
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conversation I'm having the most with like management committees and managing partners or
firms is uh what's on the horizon.
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You the idea that AI is going to disrupt certain things, you know, that it's going to
change, you you won't be able to build like, know, when you can take that due diligence
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from 30 hours to like, to, you know, one or two, you can't charge 30 hours anymore, right?
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Like you can maybe charge two or better yet you reprice that work, right?
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You say, Hey, it's no longer be doing, you know, the value of the work.
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Maybe that correlates to the 30 hours, but now that it's two hours of attorney time, the
value to the client is still substantial for that work.
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And it's not really reflected by those two hours.
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The metric has gone out of sync for the value that's being delivered to the client.
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And so you then want to reprice that work.
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Also, it doesn't account for the fact that you had to procure legal technology.
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It didn't account for the time and materials to build out the AI workflows that you're
using.
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And so you need to capture that value somehow.
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And so if you reprice that work on a fixed fee basis or on a subscription fee basis,
you're then able to, you you productize these things.
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And so as firms are seeing kind of what's on the horizon, what's really inspiring to me is
that a lot of managing companies are asking like, how can we self disrupt, right?
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Like they don't want to be caught off guard and wake up one day when the phone stops
ringing and realize the phone has stopped ringing or wake up one day and realize that
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they've been undercut.
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you know, on an RFP because their competitors are offering stuff on a fixed basis and they
haven't done the groundwork, right?
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They haven't learned the technology, they haven't built out their workflows, they haven't
productized their legal services.
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And so they're like caught off guard.
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And so a lot of them are being proactive.
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Now, obviously, I'm talking to more proactive firms, you know, the ones who have their
heads completely in the sand about this, you know, probably aren't taking my calls or
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aren't taking the phone to call me.
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So I am talking to more forward thinking firms.
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But a lot of them are going that next step and really asking from the top down, asking the
management committee is thinking about this.
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And then they're asking their partners, like throughout the partnership, kind of on a
partner by partner basis, what are you doing to rethink pricing, packaging, and delivery
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of legal services in light of AI?
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One thing that one firm that I was talking to did that was particularly interesting is
asking that as part of their year-end partner evaluations.
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So at the end of every year, you have to do a self-evaluation as a partner or a
questionnaire.
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And they'll ask questions like, what have you done for continuity, business continuity?
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Like what have you done this year to ensure that if you were to leave the firm or if you
were to the lottery or something that retire, that other people will be able to continue
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to the torch forward.
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So that's kind of a typical question they would ask.
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And now they're asking, what have you done with AI, right?
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In order to rethink legal services pricing.
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And they're getting ahead of things and re-productizing that.
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And then the way, once you productize things,
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Meaning you take your knowledge and experience of your firm and you embed it into reusable
workflows that are AI powered.
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You then have to deliver those some power.
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And you could just have it be, one option would be to have it just be something that's
available to the associate and the associate pulls the lever and then emails the work
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product.
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But clients know that you're just pulling a lever and they don't want to really, it's not
like, it's not a great experience.
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And there's just so much more we can do in terms of like interactive experiences.
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the ability to ask follow-up questions to able to provide due diligence in this tabular
review, which you can do with Legora, which is this interactive spreadsheet-like
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experience where you can go into each cell and you can see what the AI's reasoning was.
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You can see an audit log of when the AI generated the answer, the associate who signed off
on that answer.
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To be able to have that level of transparency into the work product is something that we
weren't able to have before.
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And so yeah, as they're rethinking productizing, a lot of them are looking at the portal
as a way to deliver these new legal services directly to their clients.
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Yeah, and you and I talked a little bit about like, why is it that such little
sophistication has made its way into these client facing portals?
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And I think it's a combination of two things.
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I'm curious your take on this.
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I think that just inherently, law firms are reluctant to share.
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They don't want to overshare.
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And that's a very
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lawyer mindset, right?
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And it's a good one from a legal perspective, right?
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Additional information that's not essential can create liability, right?
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In a legal context.
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And so law firms have a, they have a natural stance of being conservative on what they
share.
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And then clients haven't really demanded it.
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Like, you know, we compete primarily with high Q and the number of
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Like basic file sharing sites that we see, it's probably four or five to one in terms of
anybody doing anything sophisticated with it.
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And you know, their architecture is very much kind of isolated and it made a lot of sense.
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Like when Haiki first came out, the cloud was big and scary to law firms, you know, so you
really, they had to do a lot of work to ring fence and isolate.
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And that is really what allowed them to
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to grow so quickly, but now that firms are comfortable with the cloud and all the big
AMLaw firms are either there or making their way there, that additional friction, that air
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gap, now makes it challenging when firms want to build integrated experiences.
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When we show a client relationship page, we deploy in the client's tenant, so we can tap
into their practice management solution, their DMS.
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experience management, again, rich attorney profiles for everybody that's spending time to
those matters.
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We can pull into their analytics and show law firms never share whip, legal spend over
time, all of these sorts of things.
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the current model, the current incumbent in that space, the architecture makes that
challenging.
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we see a lot of opportunity there to do things differently, but
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What is your take on why it's been just file sharing?
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it those dynamics or are there other ones?
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I think that's a good point.
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think that probably the biggest reason is that the attorneys themselves aren't in those
systems, right?
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So, they're certainly going to be reluctant to grant access to a platform that they're not
themselves actually using on a day-to-day basis.
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Because the protection, can't really be overstated how sacrosanct like the attorney-client
relationship is to partners.
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how protective partners can be over those relationships.
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Because obviously they're the lifeblood of the firms, but they're also the lifeblood of
the individual partners who were working on them.
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so ensuring that you don't, that you control the narrative is very important to clients.
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Like you said, work in progress, like showing them stuff like was incomplete.
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You don't want them to kind of see your internal impressions, right?
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Like you might have an associate who,
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was working on a draft and you wouldn't want to show like, and they asked, they're like,
is this really what we want?
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Or what about this other counter argument?
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And that might not be the narrative that you ultimately want to present to the client.
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And so it can cause uncertainty in your analysis if the, know, if you inadvertently share,
you know, certain materials to, to a client.
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So I think there's been, there's a lot of protection around that relationship.
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And so when you add to the fact that like the, the systems you're mentioning of
integrating,
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and being able to display, the partners themselves aren't really in those platforms.
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I think what's changed, least for Legora, is that we actually have partners and associates
like you're in Legora daily, right?
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And so we're not coming from the outside and going to a partner and saying, hey, we want
to share your content, your work product with your clients, and you're not using it.
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No, it's the partners and the associates who are using Legora who are saying, hey,
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we have this work product, is there a way that we can control how we share this with our
clients?
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And so, and I would distinguish the kind of two use cases of, we have a final work product
and we want to share that with the client and introduce them to the workspace versus like
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the more self-service productized legal services themselves, as they're rethinking the
service delivery, making that obviously if it's self-service, you need some place where
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the clients are going to come in to perform the legal services or to have it be performed.
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ah But in both instances, it's the attorneys, partners, the associates are already in the
platform using it.
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And then they want to introduce clients to that environment.
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So they're already comfortable with the environment.
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They just want to be able to know exactly, and this is from a product design perspective,
what's really important, you know, to make sure that as we're building this product, that
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it is absolutely crystal clear what's being shared with the client at all times so that
the partners feel comfortable.
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They're already comfortable in the environment.
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Now they're comfortable with, okay, they know exactly what they're sharing with whom.
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and what the clients can see.
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And so, you we allow them, for example, if you're sharing a workflow with clients, you can
have them just see the output, but not see the reasoning.
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You can have them see the reasoning and the output, but not the prompts.
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Right?
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So we allow that granular control, which is particularly important as they productize
their legal services, because they're basically taking their hundreds of years, know, or
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decades of knowledge and experience they have representing.
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mean, there's a reason why top tier firms command a premium in the market.
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um And one of those is that the cumulative experience they have handling a certain type of
work.
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And so they're taking that and they're embedding that into technology, into these
workflows.
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And so they don't, that becomes their IP, right?
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They're something that was in somebody's head and they're embedding it into a workflow and
it is now firm IP that the firm wants to protect and needs to protect.
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And so to be able to ensure that as they're sharing the workflows, the work can get done,
client can come in and say,
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run a contract playbook through the Legora portal, the client can have the playbook be run
and they can get the output from uh Legora, but they don't necessarily see the playbook
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itself that is the IP of the firm.
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Yeah, that makes sense.
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Like how did, how should customers think about.
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Legora clients or other vendors clients when they make systems client facing and they
decide to pivot at some point, right?
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Like they, they want, is there operational risk that they need to think about?
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Like, what if you, like, let's say you're a Legora client today and you share.
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through Lagora portal, a client really likes it and let's say the partner wants to switch
to another platform or like how do you get that kind of pushback?
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Like, hey, if I show this to my clients and I'm kind of, we're getting hitched here.
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Do you ever get, have those sorts of conversations?
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Yeah, I mean, I guess it's an interesting question.
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So I think it highlights the importance of vendor selection, And like vendor durability.
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think one question that does come up in the legal tech space right now, there's a lot of
players.
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uh It's every year at Iltta or Legal Week, there's tons of new players in the market.
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And with an industry that's happening so fast, everything's happening so fast and there's
so many new market entrants in terms of new legal tech companies popping up all the time.
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And we're now starting to see some of them disappear.
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it causes a concern, obviously, on the part of firms, as well as their clients, about
vendor durability and who they want to work with.
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particularly, where we've been thus far, think, been quite flexible, I think, in terms of
like, if you're talking about just like a basic AI legal assistant, there's not a lot of
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risk or switching costs there.
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But as we really look to the future, know, as firms look to embed their knowledge
experience into workflows, they have to be, it's incredibly important that they go with
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vendors that they trust.
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mean, we're basically asking customers to help us build the future of legal practice
together.
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And as we do that, you know, it's very important who they select to build that future.
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And obviously there are a couple of things that clients or customers look to when deciding
among vendors.
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I think financing is one of them.
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You want somebody who has sufficient uh capital to stand the test of time.
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Lawyers are notoriously peer obsessed.
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So looking to their peers and seeing what other firms are going with, gives them lot of
confidence in terms of moving forward.
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But I think that the answer really is to just
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We're going to build the future together with these firms.
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And ultimately, if they're successful, we're going to be successful.
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And the hope would be is that they're successful, there's not going to be a need for them
to move uh to another platform.
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What they're hoping to achieve out of this, in a lot of instances, is client stickiness.
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So they're hoping to entrench their client relationships via these tools and via these
technologies.
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If they are the go-to platform for, like if you create like a self-service labor and
employment portal for a client, and the client in-house counsel is using it daily to
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assess HR, to do compliance, to do customer investigations, to do reductions in forces,
right?
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Like all these different aspects of labor and employment practice, if that can all be
channeled through something like the Legora portal, you're going to create incredible
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client stickiness with that platform.
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And you wouldn't want to move at that point.
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Yeah.
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And you you had experience when you were on the law firm side with kind of like, it's
interesting how many, so we don't have a ton of competition, thankfully, you know, on the
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intranet side, we had one competitor that's really kind of gone from the marketplace for
the most part.
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And we're the only, it's either us or custom dev on the, on the extranet side, there's an
incumbent in that space, which I talked about earlier.
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and you know, it's really, I see customers.
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debating, we buy it or build it?
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And it's such an easy, like we spent 14 years as Acrowire building with law firms and the
ability for us to take what we built and hand over to them where they could manage the
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care and feeding and the enhancements and the support and the training and keeping their
ear out, ear to the ground for any integrations that would implement breaking changes.
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Like they're just, it's such a high bar.
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And a lot of times law firms will go, but it's only going to cost me, you know, 600,000 to
build this thing out.
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And I'm like, yeah, that's, that's the part that has a discrete beginning and end.
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It's the ongoing costs that really drive TCO.
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sometimes four to five X your initial development costs.
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So like, it blows my mind that I still have to have those conversations, but the reality
is I do, because some, some firms have
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dev teams and guess what?
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Devs love to dev, right?
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I did.
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I used to be a developer.
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Um, and you know, it's, that's what you want to do.
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You want to flex those muscles, but like, I don't know, do you run into, how, how do you,
know, in your experience, not just today with the Gora, but like, how have you thought
335
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about that problem kind of build versus buy in the law firm context?
336
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Yeah, so, you know, when I started, you know, really 2013, like started working with firm
IT, you know, the legal tech market was not as mature as it is today.
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So I mean, guys, InfoDash was not around at that time.
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You know, so the, if I were to start down this journey today, or if there were an
associate at a firm who were to start down the journey today where I was, like, there's no
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world in which they would have built the software internally.
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Not to say you wouldn't do some internal development.
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I think there's absolutely a role for certain types of development within firms, even
today.
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But you certainly wouldn't have built out the matter management platform as I did.
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What we would have done instead is we would have got one of the top tier matter management
type platforms that exists on the market that are fully customizable.
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We would have bought that or licensed that and then we would have just customized.
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If I were to advise somebody today, that's the route you go down.
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build a fully customizable, you don't internally build a customizable amount of management
platform yourself.
347
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Because you could, mean, you could, but it's it's not, there's just too many options now.
348
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So the calculus has changed from a decade ago.
349
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Now there's lots of great solutions to the market.
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Certainly, as I said, I did a client, I did the extra platform at Morgan Lewis.
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And today it wouldn't make sense to do that.
352
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InfoDash wasn't in the extra net space at that time, right?
353
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So it wouldn't make sense to do that today.
354
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I do, you know, it's interesting to say devs like to dev, that's absolutely true.
355
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And the flip side of that is they don't really like to do maintenance and support.
356
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And so, that's, they want to work on the new thing and they don't want to, you know, uh
tend to the legacy stuff.
357
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So that creates a, you know, certainly like it increases the total cost of ownership of
this, these tools.
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And of course, if you built something fully custom, you're almost wedded to the people who
built it, right?
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Because those people are the only ones who know.
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how that system operates.
361
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And it's difficult to, uh you can't just go off the street and find somebody who knows how
to do it.
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Whereas like, you if you were to use, just take a non-legal example, if you were to build
like a custom solution on top of Salesforce, you know, there's a whole marketplace of
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people out there who have Salesforce dev skills, who could support your application if,
you know, somebody were to leave your company.
364
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So there's certainly lots of downstream implications of doing custom dev.
365
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The stuff that does make sense,
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you know, in terms of custom development in firms, integration work makes a lot of sense
given that uh each firm's systems, know, even if they use like say one of the leading, you
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know, timing and billing systems or, you know, the, each one is so customized to each
firm, you know, the amount of complexity there is something that most people, unless
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you've been kind of on the database side of things, you don't know how complicated like
timing and billing systems are really, you know, like the matter of practice management
369
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systems inside of firms.
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each one is highly bespoke to that firm.
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And so the work that you need to do to say integrate a new business intake platform with
another like matter management system is highly specific, is not something you're going to
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be able to find off the shelf.
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So that kind of work really makes sense.
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00:31:11,030 --> 00:31:20,436
We do have the conversation kind of today in my role where I'm talking with firms all the
time and I'll show them something you can do with Legar and they'll say,
375
00:31:20,496 --> 00:31:21,996
we built that.
376
00:31:21,996 --> 00:31:24,296
then of course I asked them, like, well, how long did it take you to build that?
377
00:31:24,296 --> 00:31:27,216
And they'll say, oh, well, it took us like four months and we did it like a year ago.
378
00:31:27,216 --> 00:31:28,596
And it's like, awesome.
379
00:31:28,596 --> 00:31:34,736
know, that, you probably that was something that Lagora didn't do a year ago, but you
know, today I did it in Lagora in an hour.
380
00:31:34,896 --> 00:31:42,816
And so if once things become commercially available, right, like once you can use
commercial software and you can just take off the shelf commercial software and customize
381
00:31:42,816 --> 00:31:48,936
it to meet your use case, it no longer makes sense to dedicate development resources
internally to reinvent the wheel.
382
00:31:49,460 --> 00:31:59,610
Instead, it makes sense to dedicate those resources to things that are highly practice or
matter specific that uh you wouldn't be able to find commercially available.
383
00:31:59,610 --> 00:32:07,167
things that, uh you know, and then it looks, makes sense to integrate those with a
platform like Legora via something like MCP, right?
384
00:32:07,167 --> 00:32:14,696
So that way we can handle sort of commercially available use cases, document review,
document traction, things like word add-in.
385
00:32:14,696 --> 00:32:22,292
we can build things like great user experiences, interfaces, permissioning and security
and all those tasks that aren't necessarily the most exciting.
386
00:32:22,292 --> 00:32:27,155
And then firms can focus on what sort of is their competitive advantage, which is their
knowledge and experience, right?
387
00:32:27,155 --> 00:32:36,389
And so they can focus on building technology that really lends to their own strengths and
let us at, in the tech vendor space, let us build great software.
388
00:32:36,435 --> 00:32:37,206
Yeah.
389
00:32:37,206 --> 00:32:38,506
Yeah, that makes sense.
390
00:32:38,506 --> 00:32:45,592
How do you think firms, what is the differentiation equation going to look like, you know,
five years from now?
391
00:32:45,592 --> 00:32:45,932
Right?
392
00:32:45,932 --> 00:32:52,436
Like you can't buy an off the shelf solution and differentiate yourself based on that
tool.
393
00:32:52,436 --> 00:33:02,925
You really kind of have to, you know, I have a theory about this, that law firms are going
to, their special sauce is all of the knowledge and documents that created winning
394
00:33:02,925 --> 00:33:04,776
outcomes for their clients.
395
00:33:04,872 --> 00:33:05,132
Right.
396
00:33:05,132 --> 00:33:08,104
And how do they use that in a wholesale way today?
397
00:33:08,104 --> 00:33:11,305
Like, Legora is a, is a hosted solution, right?
398
00:33:11,305 --> 00:33:17,589
You're kind of bringing your data to AI versus bringing AI to your data.
399
00:33:17,589 --> 00:33:22,162
Like how, how are firms, how are firms going to differentiate themselves?
400
00:33:22,162 --> 00:33:25,194
Cause again, off the shelf tools by themselves aren't going to do it.
401
00:33:25,194 --> 00:33:32,752
Maybe it's through the workflows that you're talking about, but yeah, how is firm A going
to differentiate from firm B?
402
00:33:32,752 --> 00:33:34,032
three to five years from now.
403
00:33:34,032 --> 00:33:38,184
Yeah, so I think what you're getting at though is that there's kind of a short and a long
term.
404
00:33:38,184 --> 00:33:46,407
So in the short term, there is some early mover advantages of people who, you know, who
lean into the tools, you know, not just licensing, but like who really get up to speed and
405
00:33:46,407 --> 00:33:48,988
integrate tools throughout their firms today, right?
406
00:33:48,988 --> 00:33:55,431
Because they have a strategic advantage over their competitors, say a trial, because
they're using AI and their competitors aren't using AI.
407
00:33:55,431 --> 00:34:02,084
But certainly, uh once this kind of short term, once, you know, once everybody has a
legora, for example, right?
408
00:34:02,150 --> 00:34:05,474
and it's become the incumbent solution or has some other tools.
409
00:34:05,474 --> 00:34:10,639
It won't be, you're right to say that you can't, there won't be a competitive advantage
because everybody has it, right?
410
00:34:10,639 --> 00:34:18,467
I mean, so this will be sort of like, if we go back and kind of by analogy, you know,
there were some competitive advantages early on with uh say legal research, electronic
411
00:34:18,467 --> 00:34:19,708
legal research, right?
412
00:34:19,708 --> 00:34:26,578
Early on, if you were a firm who leaned into electronic legal research, you were able to
do more comprehensive legal research than your competitors were.
413
00:34:26,578 --> 00:34:35,058
that then gave you some strategic advantages at trial because you were able to find that
one case that was on point or that case that rebuts what you're, know, that, that
414
00:34:35,058 --> 00:34:38,838
distinguished the precedent on which your opponent was relying.
415
00:34:38,838 --> 00:34:42,138
And so you're able to use, you gain a strategic advantage through that.
416
00:34:42,138 --> 00:34:46,498
But that then became very quickly because this is like a very competitive market.
417
00:34:46,578 --> 00:34:51,338
You know, once you're using it, once kind of the cat's out of the bag on electronic legal
research, everybody's doing it.
418
00:34:51,338 --> 00:34:52,418
It just becomes the new normal.
419
00:34:52,418 --> 00:34:54,058
Like everybody has to do it.
420
00:34:54,074 --> 00:34:57,867
So there's no longer really any competitive advantage to using electronic research.
421
00:34:57,867 --> 00:34:59,199
It's just the baseline, right?
422
00:34:59,199 --> 00:35:06,185
And so in some ways, that will be the case with uh AI as well, is that like it will just
become the new baseline.
423
00:35:06,185 --> 00:35:13,791
In the meantime, though, those firms that lean into it will, you know, do have a chance to
get ahead and to take advantage of that, kind of seize the moment and get ahead.
424
00:35:13,791 --> 00:35:16,763
So I think that, you know, what will be their competitive advantage?
425
00:35:16,763 --> 00:35:19,795
mean, the good news in some ways is that it won't be the software, right?
426
00:35:19,795 --> 00:35:27,655
If they don't have to worry about like once everybody has AI, once they've, it's been the
law schools are teaching it and all the associates know and the partners are using it on a
427
00:35:27,655 --> 00:35:28,915
day to day basis.
428
00:35:28,935 --> 00:35:32,095
It won't be the tech that you buy that's going to be your competitive advantage.
429
00:35:32,095 --> 00:35:36,034
It's going to go back to being the core things that you went to law school for, right?
430
00:35:36,034 --> 00:35:44,235
Look at the core things that firms use to differentiate today, which is like their people,
their experience, their knowledge, their work product, their relationships, their brand,
431
00:35:44,235 --> 00:35:47,095
like those core things they use to differentiate themselves today.
432
00:35:47,095 --> 00:35:49,236
Those will be the enduring things.
433
00:35:49,236 --> 00:35:55,125
that remain once AI has kind of reshaped the landscape and however it's going to do it.
434
00:35:55,125 --> 00:35:57,607
Yeah.
435
00:35:57,607 --> 00:36:08,255
what about the amount of services that inside teams are going to work that once went to a
law firm that they're going to manage internally?
436
00:36:08,255 --> 00:36:12,117
That is going to displace a certain amount of law firm revenue.
437
00:36:12,117 --> 00:36:14,349
And that's not a Lagora problem or a Harvey problem.
438
00:36:14,349 --> 00:36:15,850
That's the tech.
439
00:36:15,850 --> 00:36:17,241
The tech is going to do this.
440
00:36:17,241 --> 00:36:20,978
And law firms just need to come to grips with, I think that they're
441
00:36:20,978 --> 00:36:25,370
credible estimates that 30 % of associate hours today are gone.
442
00:36:25,370 --> 00:36:33,903
Based on where the tech is today, you can take 30 % of associate hours and essentially
tech is going to be delivering on that.
443
00:36:33,903 --> 00:36:38,534
It doesn't matter if it's your platform or the platform down the street.
444
00:36:38,534 --> 00:36:44,197
Firms have to move up the value chain, which creates a lot of other challenges.
445
00:36:44,197 --> 00:36:47,038
Well, that's how you train lawyers.
446
00:36:47,038 --> 00:36:48,679
Is the grunt work?
447
00:36:48,679 --> 00:37:00,185
You throw them in a room with a box of documents and you review them and you have a
partner parachute in and and Provide guidance and this this tech kind of blows that all up
448
00:37:00,185 --> 00:37:10,632
So, you know, it creates it creates challenges like okay the leverage model associate
development You know potentially having a revenue impact
449
00:37:11,043 --> 00:37:20,358
Do you think that there's sufficient, because when I talk to some people, they point to
Javan's paradox and go, there's a ton of unmet need and that's going to more than offset.
450
00:37:20,358 --> 00:37:25,041
And that could be true to a certain extent, but demand isn't infinite.
451
00:37:25,041 --> 00:37:33,905
So it's unclear at this point how far up the complexity spectrum AI is going to make its
way and how fast.
452
00:37:33,905 --> 00:37:35,907
We don't know the answers to that.
453
00:37:35,907 --> 00:37:43,929
In fact, when you talk to credible sources at Frontier Labs today, they've kind of reached
their limits on scaling, right?
454
00:37:43,929 --> 00:37:55,245
Like we've consumed all the publicly available data that's out there and just throwing
more parameters at a model is starting to have diminishing returns.
455
00:37:55,245 --> 00:38:04,670
So there's a lot of talk about like us entering into a new age of research where, you
know, scaling sucked the air out of the room for like the last four years.
456
00:38:04,826 --> 00:38:14,075
And there really wasn't an emphasis in resources placed on research and new approaches
around engineering.
457
00:38:14,075 --> 00:38:17,619
Now with inference, we have a path to make things better.
458
00:38:17,619 --> 00:38:19,551
even there, feel like we're...
459
00:38:19,551 --> 00:38:21,809
Do you think we're gonna need a new...
460
00:38:21,809 --> 00:38:25,813
Are LLMs gonna be the answer in three to five years?
461
00:38:25,813 --> 00:38:27,044
Do you see the trajectory?
462
00:38:27,044 --> 00:38:29,115
And I know it's hard to say for sure, but...
463
00:38:29,173 --> 00:38:38,317
Just based on what you know, do you see LLMs as being the future state in three to five
years or might it be something different?
464
00:38:38,769 --> 00:38:45,513
Yeah, I mean, it's probably beyond my, know, I'm not a researcher in the LLM space, so I
don't know the AI space more broadly.
465
00:38:45,513 --> 00:38:50,176
So I am probably outside of my, you know, was kind of above my pay grade, so to speak.
466
00:38:50,176 --> 00:38:54,464
I mean, I would imagine it's hard for me to based on what I know in my experience of it.
467
00:38:54,464 --> 00:38:59,162
You know, there are people talk about world models being kind of the next frontier of AI.
468
00:38:59,162 --> 00:39:00,152
And I can see that.
469
00:39:00,152 --> 00:39:05,275
But I still kind of haven't gotten a very clean answer as why a why LLMs couldn't
470
00:39:05,275 --> 00:39:10,690
be the source data for creating synthetic data for that, to create scenarios that world
models could then be trained on.
471
00:39:10,690 --> 00:39:16,473
So I would find it very perplexing if what we have today isn't a stepping stone to
whatever's next.
472
00:39:16,473 --> 00:39:22,237
um Is a new breakthrough, a new paradigm going to be necessary to get to that new
location?
473
00:39:22,237 --> 00:39:23,908
Yeah, to that new tier, likely.
474
00:39:23,908 --> 00:39:30,482
You're kind of referring to basically foundational models plateauing, the idea that
scaling isn't going to get us more
475
00:39:30,482 --> 00:39:34,302
I think, yeah, it's quite possible.
476
00:39:34,382 --> 00:39:43,262
When I think about for legal though, I think that even if foundational models plateaued,
we're barely scratching the surface, just in terms of just the number of attorneys who are
477
00:39:43,262 --> 00:39:43,722
using it.
478
00:39:43,722 --> 00:39:50,622
I I didn't see a stat to like half of all attorneys in firms of 500 or more are using AI
last year.
479
00:39:50,622 --> 00:39:53,093
Okay, well, like they used it, what, once?
480
00:39:53,093 --> 00:39:55,769
The amount of adoption is still...
481
00:39:55,769 --> 00:39:57,180
uh relatively low.
482
00:39:57,180 --> 00:39:59,561
mean, obviously it's highly unequal.
483
00:39:59,561 --> 00:40:03,772
There are some people who using it every single day in some firms who have really high
usage.
484
00:40:03,772 --> 00:40:13,199
But just industry-wide, uh we're still early days in terms of just total number of people
who are using it and the value they're getting out of it.
485
00:40:13,199 --> 00:40:22,244
Okay, somebody might be using it to proofread an email, but that's really low-hanging
fruit in terms of what these AI models today are capable of doing.
486
00:40:22,244 --> 00:40:24,914
So from a legal AI perspective,
487
00:40:24,914 --> 00:40:29,898
whether the models plateau or not, there's still plenty of value that we're going to be
able to get.
488
00:40:29,898 --> 00:40:31,979
I don't think the models are going to plateau anytime soon.
489
00:40:31,979 --> 00:40:36,341
I do think there will be those breakthroughs.
490
00:40:36,341 --> 00:40:45,387
I don't have any specific insight into what those will be, but I think that given how much
progress has been made, it'd be kind of silly to bet against them, to bet against them
491
00:40:45,387 --> 00:40:46,568
being a breakthrough.
492
00:40:46,568 --> 00:40:50,906
And we're making a civilizational bet here on AI, right?
493
00:40:50,906 --> 00:40:56,546
the amount of money that's being invested in AI is probably the largest investment we've
ever made as a species.
494
00:40:56,646 --> 00:41:03,046
And so, you know, this is, and the payoff is potentially going to be the most important
technology since, you know, the invention of writing.
495
00:41:03,366 --> 00:41:07,125
So it's, you know, really exciting.
496
00:41:07,125 --> 00:41:13,146
And I think that even if we don't hit AGI or whatnot, I think we're going to still see
incredible things come out of this.
497
00:41:13,506 --> 00:41:20,822
It's just, you know, in the short term, like, you know, we, it seems slow, like from GBT
four to five and then five to 5.1 and two, like,
498
00:41:20,822 --> 00:41:24,062
It seems small, but if you just zoom out, it's accelerating.
499
00:41:24,062 --> 00:41:26,716
It really is impressive, the rate of...
500
00:41:26,716 --> 00:41:29,708
We just get used to things so quickly, right?
501
00:41:29,708 --> 00:41:31,029
And so we're not really impressed.
502
00:41:31,029 --> 00:41:34,080
But you raised a number of other issues too.
503
00:41:34,080 --> 00:41:36,902
So I think Jevin's paradox, I think that's probably right.
504
00:41:36,902 --> 00:41:39,162
I agree with you, is certainly not infinite.
505
00:41:39,162 --> 00:41:47,019
I was reading an article the other day about radiology and there were predictions really
even before GNI, like in terms of predictive coding of...
506
00:41:47,019 --> 00:41:47,763
uh
507
00:41:47,763 --> 00:41:51,483
or of traditional machine learning on x-rays.
508
00:41:51,483 --> 00:41:56,557
People were predicting this back in 2016 that there would be like, don't go to, don't
study radiology.
509
00:41:56,557 --> 00:42:01,449
Like that field's gonna die because the computers are going to, uh you just plant all
that.
510
00:42:01,449 --> 00:42:11,293
There's more demand today for radiology than there ever has before because simply as the
cost goes down to examine an x-ray, the number of doctors who are then sending things off
511
00:42:11,293 --> 00:42:13,764
to get analyzed is up, right?
512
00:42:13,764 --> 00:42:15,247
So like there are now...
513
00:42:15,247 --> 00:42:18,367
greater demand for radiologists than there's ever been before.
514
00:42:18,367 --> 00:42:22,127
And radiological services are being demanded higher than they've ever been before.
515
00:42:22,287 --> 00:42:24,127
And will that continue forever?
516
00:42:24,127 --> 00:42:25,807
Well, probably not, because nothing will.
517
00:42:25,807 --> 00:42:28,927
But I think that it certainly will continue for a long time.
518
00:42:28,927 --> 00:42:38,127
So even in another domain, just as to benchmark what we're thinking in terms of legal,
that's a very highly specialized task that people thought was going to be automated very
519
00:42:38,127 --> 00:42:38,567
quickly.
520
00:42:38,567 --> 00:42:43,681
And what it turned out there, which I think is very relevant to legal by analogy, is that
521
00:42:43,681 --> 00:42:49,053
The mistakes that humans make, it just so happens that they're the kind of things that AI
is really good at catching.
522
00:42:49,053 --> 00:42:52,954
And the mistakes that AI makes, it turns out that humans are actually really good at
catching.
523
00:42:52,954 --> 00:42:58,777
And so when you combine both humans plus AI, it's going to be better than either one on
its own.
524
00:42:58,777 --> 00:43:04,419
There is so much demand for legal services that never gets met because attorneys are
costly.
525
00:43:04,419 --> 00:43:08,716
Obviously, there are different segments of the legal market.
526
00:43:08,716 --> 00:43:17,816
But there are plenty of businesses where you never bother to call an attorney because even
in Fortune 500 companies, because you're like, well, it's not going to be worth the point
527
00:43:17,816 --> 00:43:21,696
two or the point three that they're going to take or the couple of hours they're going to
bill me.
528
00:43:21,796 --> 00:43:27,736
So people are just running the risk all the time by not calling lawyers and not consulting
with lawyers.
529
00:43:27,736 --> 00:43:37,452
And so once you can lower the cost of getting advice on a given question, the number of
times people are going to call their attorneys is going to go up.
530
00:43:37,452 --> 00:43:40,632
And that's just on the compliance advisory space.
531
00:43:40,732 --> 00:43:48,612
Once we go to the litigation space, it's kind of the game theory there is actually even
more interesting because it's like, what does the world look like if everybody you were to
532
00:43:48,612 --> 00:43:53,132
give like an AI attorney, or if you were able to power all the new law school grads?
533
00:43:53,132 --> 00:43:57,332
Because one thing that's interesting is law school attendance is up at an all time high
this year.
534
00:43:57,332 --> 00:44:00,432
The number of people who are looking to go to law school is at an all time high.
535
00:44:00,432 --> 00:44:04,292
So let's assume we have some of the largest law school graduating classes ever.
536
00:44:04,292 --> 00:44:05,812
What are those people going to do?
537
00:44:05,872 --> 00:44:13,199
Well, maybe with AI, they're going be able to go help meet the long tail of unmet needs of
all the people out there who currently can't afford attorneys.
538
00:44:13,199 --> 00:44:21,037
Well, so now what does the world look like when all of a sudden everybody, or at least
you've doubled the amount of people who are able to afford legal services?
539
00:44:21,037 --> 00:44:23,239
Well, now they're able to sue.
540
00:44:23,239 --> 00:44:27,002
When they wouldn't have been able to sue before, they're able to vindicate their rights in
ways they weren't able to before.
541
00:44:27,002 --> 00:44:31,098
And that's then going to cause a massive increase in demand for defense attorneys.
542
00:44:31,098 --> 00:44:36,178
to then defend all the companies who are now being sued by all these new AI enabled
attorneys.
543
00:44:36,318 --> 00:44:44,409
So a lot of these things, the game theory of it is that as demand on one side of the V
increases, the demand will go up on the other side.
544
00:44:44,409 --> 00:44:51,309
So I don't think we're going to see, you say 30 % of associate hours can be replaced with
AI.
545
00:44:51,709 --> 00:44:54,849
On a task level, that may be true.
546
00:44:54,909 --> 00:44:58,553
But it certainly doesn't necessarily follow that like they're
547
00:44:58,553 --> 00:45:04,813
going to you're going need a third of your associates or that you know that that time
won't get repurposed.
548
00:45:04,813 --> 00:45:14,053
And you know, on the training thing, there's a myth, I think there certainly is some
amount of work, you you know, it's like how I learned to be an attorney and how you know,
549
00:45:14,053 --> 00:45:17,353
most of the partners out there learn to be attorneys, like they did it through grinding.
550
00:45:17,353 --> 00:45:21,373
But like, if we're honest with ourselves, like a lot of that work wasn't productive,
right?
551
00:45:21,373 --> 00:45:23,273
A lot of it was just a time sink.
552
00:45:23,273 --> 00:45:25,073
It was just a way to get a lot of hours.
553
00:45:25,073 --> 00:45:27,403
It was a way to generate leverage for a firm.
554
00:45:27,403 --> 00:45:31,016
And it wasn't necessarily something that really trained us.
555
00:45:31,016 --> 00:45:33,498
And in fact, oftentimes it inhibits you.
556
00:45:33,498 --> 00:45:38,903
you're so busy doing the grunt work that you don't even have time to like learn the higher
level skills.
557
00:45:38,903 --> 00:45:41,145
And so it's actually slowing your progress.
558
00:45:41,145 --> 00:45:49,612
And so as AI can handle more of that underlying work, you're able to then focus on the
higher level task, both, you know, even as you're learning.
559
00:45:49,612 --> 00:45:54,986
And I guess the other thing too is that, you know, how are we going to learn or train
associates?
560
00:45:54,986 --> 00:45:56,117
Like if it's like,
561
00:45:56,229 --> 00:46:01,671
ah if it's helping on a lot of these lower-level tasks, mean, the AI is clearly going to
be helping us learn too, right?
562
00:46:01,671 --> 00:46:06,212
AI done, deployed properly, explains its results, right?
563
00:46:06,212 --> 00:46:09,003
It explains where it's getting its analysis.
564
00:46:09,003 --> 00:46:13,075
so oftentimes when people ask me this, particularly in law firm context, they're like,
well, how are we going to train associates?
565
00:46:13,075 --> 00:46:16,377
And it's like, well, it presumes you do a good job of training today.
566
00:46:16,377 --> 00:46:20,646
Training in law firms today is highly unequal.
567
00:46:20,646 --> 00:46:25,606
Not all associates get the same mentorship opportunities as others, right?
568
00:46:25,606 --> 00:46:31,506
It's like, you're really, you know, it's very unequal who gets access to the mentorship
opportunities.
569
00:46:31,566 --> 00:46:43,006
And so if the AI can help us kind of bridge that gap and you level that playing field
where everybody has access to AI in a firm and they can get, the AI can have infinite time
570
00:46:43,006 --> 00:46:49,126
and infinite patience to explain how to do a due diligence, how to analyze a contract, how
to write a brief.
571
00:46:49,126 --> 00:46:57,746
why, you know, when you, when I was an associate, I would get red lines of my briefs back,
but there's no explanations as to why I had made a mistake or why that paragraph needed to
572
00:46:57,746 --> 00:46:59,746
be cut down or moved around.
573
00:46:59,806 --> 00:47:08,266
But with something like LaGaurat today, like we explain every single edit and there's
detailed explanations as to why LaGaurat recommends that edit be made.
574
00:47:08,266 --> 00:47:11,526
And that's far more time and attention than like any partner would ever have.
575
00:47:11,526 --> 00:47:18,714
So I really think the AI is going to be, you know, there might be some bumps along the
road, but I think the AI is actually going to be used to
576
00:47:18,714 --> 00:47:21,697
help us train some of the best attorneys we've ever seen.
577
00:47:21,806 --> 00:47:22,376
Yeah.
578
00:47:22,376 --> 00:47:22,627
Yeah.
579
00:47:22,627 --> 00:47:31,113
I don't disagree that there are much more effective methods than the traditional, you
know, legacy method that we've used to train attorneys.
580
00:47:31,113 --> 00:47:35,656
There are absolutely more efficient and effective ways to do it.
581
00:47:35,656 --> 00:47:38,309
So I think I completely agree with you there.
582
00:47:38,309 --> 00:47:41,092
well, this has been a fantastic conversation, Kyle.
583
00:47:41,092 --> 00:47:47,366
like I said, you and I been chewing the fat in the, on the, the legal collaboration space
for quite some time.
584
00:47:47,366 --> 00:47:48,975
So it's, uh
585
00:47:48,975 --> 00:47:52,567
I really appreciate you spending a few minutes with us this afternoon.
586
00:47:52,731 --> 00:47:54,422
Yeah, like I said, was a lot of fun.
587
00:47:54,422 --> 00:47:54,943
Awesome.
588
00:47:54,943 --> 00:47:55,394
All right.
589
00:47:55,394 --> 00:47:57,177
Well, listen, have a good rest of your day.
590
00:47:57,177 --> 00:47:57,958
We'll chat again soon.
591
00:47:57,958 --> 00:47:59,571
All right.
592
00:47:59,571 --> 00:48:00,142
Sure.
00:00:01,772
Kyle Poe, how are you this afternoon?
2
00:00:01,772 --> 00:00:05,163
I'm doing awesome.
3
00:00:05,163 --> 00:00:08,225
This is actually the third podcast I've recorded today.
4
00:00:08,225 --> 00:00:10,916
um Yeah, today's a busy day.
5
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Normally I do like one a week, but we had a ton of travel in the late fall, so we burned
through our backlog.
6
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Normally we keep a big backlog, so I'm rebuilding the pipeline again, so to speak.
7
00:00:24,244 --> 00:00:25,335
Well, it's great to have you on.
8
00:00:25,335 --> 00:00:32,040
You and I got to know each other before, back when you were in the, still on the law firm
side, you've now moved to the vendor side.
9
00:00:32,040 --> 00:00:34,842
And it's great to finally have you on the show.
10
00:00:34,842 --> 00:00:35,962
We got a great agenda.
11
00:00:35,962 --> 00:00:42,606
Before we jump in, why don't you just do a quick introduction and tell us who you are,
what you do and where you do it.
12
00:00:42,984 --> 00:00:43,754
Sure.
13
00:00:43,754 --> 00:00:46,886
So Kyle Poe, VP of legal innovation and strategy here at Legora.
14
00:00:46,886 --> 00:00:53,589
So former practicing attorney, I practiced law for 14 years, most of which at Morgan
Lewis, where I was an associate and then a partner there.
15
00:00:53,589 --> 00:01:01,192
uh My practice was primarily mass tort and product liability litigation, but I also
dabbled in labor and employment as well as just other commercial litigation.
16
00:01:01,212 --> 00:01:05,344
Really early in my career, I got involved in the tech side of legal practice.
17
00:01:05,344 --> 00:01:09,588
So building custom technology solutions internally at Morgan Lewis.
18
00:01:09,588 --> 00:01:15,068
which led me ultimately to using AI at the firm and using it for my own practice.
19
00:01:15,068 --> 00:01:22,048
I got to see firsthand how powerful AI was and that gave me the conviction that this was
really going to be a game changer.
20
00:01:22,048 --> 00:01:31,348
I had been doing legal tech and building software in the firm for a decade and nothing
before that was as powerful or as compelling as AI had been.
21
00:01:31,768 --> 00:01:38,588
I wanted to be part of this wave and so I decided to leave at that time and go on to the
vendor side as you said.
22
00:01:38,866 --> 00:01:40,238
led me to here at Legora.
23
00:01:40,238 --> 00:01:48,384
And what I do here is I work with customers, help them understand the technology as well
as adapt it for their own practices as well as their own business.
24
00:01:48,384 --> 00:01:55,929
So really thinking about the future of legal practice and how this is changing not only
what they're doing on a day-to-day basis, but also kind of the next level in terms of how
25
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they're reshaping their pricing, their packaging, their delivery of legal services using
AI.
26
00:02:00,648 --> 00:02:01,669
Yeah, you know, it's interesting.
27
00:02:01,669 --> 00:02:06,393
You don't see many partners that make the transition into the tech side of the business.
28
00:02:06,393 --> 00:02:07,565
Like what drove that?
29
00:02:07,565 --> 00:02:08,937
Was it just your passion?
30
00:02:08,937 --> 00:02:14,477
Yeah, I I had seen, I mean, there have been a couple of us who have made that jump.
31
00:02:14,617 --> 00:02:24,337
I think it's, it is unprecedented, but I think this is we sort of live in unprecedented
times, you know, is AI, there's nothing like AI in terms of the breadth of experience, you
32
00:02:24,337 --> 00:02:28,437
know, I had been doing innovation internally, as I said at the firm.
33
00:02:28,477 --> 00:02:31,717
And, you know, I did it originally for my own master of practice.
34
00:02:31,717 --> 00:02:35,497
And then I got a reputation as being like the tech enabled lawyer.
35
00:02:35,497 --> 00:02:38,121
And so people would come to me, you know, I would speak to
36
00:02:38,121 --> 00:02:40,141
you know, partners throughout the firm.
37
00:02:40,141 --> 00:02:42,101
And they would ask like, hey, can you help?
38
00:02:42,101 --> 00:02:48,461
And I built up a team of data analysts and engineers and developers, a team of about 10 by
the time I left.
39
00:02:48,461 --> 00:02:50,861
And so I had resources to deploy.
40
00:02:51,101 --> 00:02:55,661
But most of the time when I would talk to partners and I would ask them, okay, you know,
what do you do on a day-to-day basis?
41
00:02:55,661 --> 00:02:57,641
You know, how's your business structured?
42
00:02:57,641 --> 00:02:58,541
What are your associates doing?
43
00:02:58,541 --> 00:02:59,901
Your mid-levels doing?
44
00:03:00,041 --> 00:03:01,461
What are your pain points?
45
00:03:01,681 --> 00:03:05,673
Most of the time, like 90 % of the time, I would come back to them and say, you know,
46
00:03:05,673 --> 00:03:18,033
whatever I'm building, which is a lot of databases, matter management, statistical
analytics, most of those approaches, kind pre-gen AI technologies, weren't really adept at
47
00:03:18,033 --> 00:03:21,093
helping the vast majority of the partners that I would talk to.
48
00:03:21,093 --> 00:03:29,293
And so for the most of the time, I would just tell them, what I have and what I'm able to
do isn't really going to make a huge impact for your practice.
49
00:03:29,293 --> 00:03:34,633
Basically, before gen AI, for you to have a good use case using pre-gen AI technologies,
50
00:03:34,633 --> 00:03:39,693
You need to have a practice that had a lot of repeatability to it, that had a lot of scale
to it.
51
00:03:39,693 --> 00:03:48,313
Often you need to find a practice that already sort of had the right business model in
place, say like a fixed fee or alternative fees or contingency fees, for it to really make
52
00:03:48,313 --> 00:03:50,863
sense to deploy pre-gen AI technologies.
53
00:03:50,863 --> 00:03:54,403
And so when GenAI came out and I started using it, it was just so clear.
54
00:03:54,403 --> 00:03:56,443
mean, look, computers learn to speak English.
55
00:03:56,443 --> 00:04:00,663
They learn to speak natural language for the first time with GenAI and LLMs.
56
00:04:00,803 --> 00:04:03,463
the basically 90, there's 90 % of
57
00:04:03,463 --> 00:04:11,288
partners I spoke to who I could no longer help or I couldn't help before, all of a sudden
I was in position to go back to them and tell them the time is now.
58
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The technology has advanced to that point.
59
00:04:13,610 --> 00:04:15,730
And so I was ready to go all in.
60
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think others, this is back in 2023, 2024 timeframe, not everyone was so sold on the
technology.
61
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think there was a, especially at that time, the initial knee jerk reaction of a lot of
clients was like, don't use gen AI.
62
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There's a lot of fear, I think, early on, whereas I was leaning in.
63
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And so it just became clear that if I wanted to have the impact, a broad impact, that the
moment demanded that it would be outside the firm at that point.
64
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Interesting.
65
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Yeah, and your days inside the firm, you had a big part in the ExtraNet that Morgan Lewis
kind of built their own custom ExtraNet platform on SharePoint.
66
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Correct.
67
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Yeah.
68
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Was that SharePoint on-prem or SharePoint online?
69
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Okay.
70
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I think we eventually moved to SharePoint Online.
71
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Yeah.
72
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So, and that's kind of how you and I got connected was your experience around that.
73
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I've spent the last 17 years in the legal collaboration space started in 2008 with a
company called Acrowire.
74
00:05:13,560 --> 00:05:21,660
And we did a lot of time and materials consulting, building custom solutions like the one
that you guys built in-house.
75
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Most firms don't have those have the chops, you know, or the personnel to deliver on an
engagement like that.
76
00:05:29,539 --> 00:05:40,814
Morgan Lewis being a big firm obviously did, but yeah, you learned a ton in that process
and then your current role, you've kind of translated that and helped them with their
77
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portal product, correct?
78
00:05:42,696 --> 00:05:43,388
That's right, yeah.
79
00:05:43,388 --> 00:05:51,011
Tell us a little bit about kind of what the thinking was with Portal and where you see it
going.
80
00:05:51,389 --> 00:06:00,849
Yeah, so the work was, you know, from the early days was envisioned to be a collaborative
AI workspace for lawyers where you could collaborate initially internally within a firm.
81
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So you can share it between different teams who work in a firm, share content more
broadly.
82
00:06:06,089 --> 00:06:16,189
As we were working with firms to develop work, you know, they would create workflows that
came out earlier this year, the ability to kind of automate multiple multi-step workflows
83
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using AI and these fully agentic experiences.
84
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As we were building that out for uh our clients, for our customers, they uh began asking,
this is really cool, this is really awesome that they have these experiences.
85
00:06:28,691 --> 00:06:31,974
And they were wondering if they could share that with their clients directly.
86
00:06:31,974 --> 00:06:35,216
broadly speaking, the way we see it is a couple of fronts.
87
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One is that AI is changing the speed of delivery.
88
00:06:39,339 --> 00:06:45,595
So the responsiveness that a firm can be now is far greater than it ever could have been
before.
89
00:06:45,595 --> 00:06:57,022
the time of performing certain types of legal tasks, particularly things like first pass
reviews or things like due diligence, these kinds of tasks are being accelerated greatly.
90
00:06:57,022 --> 00:07:05,216
And as you're able to complete these tasks a lot faster, clients expect faster, more
responsive delivery of those services.
91
00:07:05,216 --> 00:07:09,609
And something like email, which is really what most of us are competing against, right?
92
00:07:09,609 --> 00:07:13,413
So email is by far the dominant way.
93
00:07:13,413 --> 00:07:16,026
that lawyers and clients collaborate today.
94
00:07:16,026 --> 00:07:22,561
Like that's the big competitor out there is uh just email and like kind of the status quo.
95
00:07:22,561 --> 00:07:28,725
And so that was maybe a suitable format when it took a month to do a due diligence.
96
00:07:28,725 --> 00:07:38,946
know, having the results come to you in a static Excel spreadsheet maybe was a suitably
slow delivery mechanism and suitably, you know, advanced mechanism.
97
00:07:38,946 --> 00:07:43,446
for that kind of legacy work, work performed in a legacy manner.
98
00:07:43,546 --> 00:07:54,726
But once you can complete that work within a matter of days or within a day now, having it
be performed by an AI and then double checked by attorneys, clients expect a quicker, a
99
00:07:54,726 --> 00:07:58,066
more enhanced service and delivery of that work product.
100
00:07:58,066 --> 00:08:04,666
And so now you're delivering the work product directly through a portal where they can
then interact with the work product.
101
00:08:04,666 --> 00:08:08,226
So they can then use AI to then ask questions of that work product.
102
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And so it just creates this overall better experience for the customer.
103
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Yeah, and you and I had a conversation about kind of where, where Lagora portal fits into
the bigger picture.
104
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And I think it, the, the capabilities that Lagora portal provides are a very narrow, but
important slice of the big picture.
105
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I shared a graphic with you.
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I can share it quickly on the screen.
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Most people listen to this podcast.
108
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They don't actually, I might not be able to let's see here.
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just to kind of put in context where I see legora portal playing, which is really in that
kind of practice space where, you know, intake document, Q and a playbooks, co-authoring,
110
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drafting, shared tabular review, all those sorts of things are very practice of law
specific.
111
00:08:55,240 --> 00:09:00,445
And I see that as a necessary, but still fairly narrow slice.
112
00:09:00,445 --> 00:09:02,566
I expect that slice to get bigger.
113
00:09:02,619 --> 00:09:12,227
Over time as AI's capabilities grow and more work from the practice gets fed, becomes tech
enabled.
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Um, but you know, when we were at a TLTF summit, you guys announced portal, like, I don't
know, two or three days and everybody's like, Hey, are you worried about, you know, ex
115
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your extra net product?
116
00:09:24,236 --> 00:09:27,318
And I was like, no, these things are really complimentary.
117
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If anything, and I wrote an article about it on LinkedIn, I'm actually excited.
118
00:09:32,146 --> 00:09:45,747
that you guys and then Harvey later announced shared spaces, I'm excited that there's real
money being put into this collaboration space because it's been so badly neglected.
119
00:09:45,747 --> 00:09:50,792
And you know this because you helped build a tool to facilitate it.
120
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It's been so badly neglected that there's very little overlap with what we do, really very
little to anything in the practice of law space.
121
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we're more focused on the broader relationship, know, like open and closed matters,
historical, you know, legal spend, attorney profile information that are billing time to
122
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the matters, the legal team, all of that sort of stuff, model document sharing, more kind
of business of law stuff.
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So yeah, I was actually excited, but it really, the reason I wrote that article, I was
shocked on how many people
124
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got confused by thinking that what you were doing competed with us.
125
00:10:29,744 --> 00:10:34,067
And these were by, I had a couple of former high Q guys asked me this.
126
00:10:34,067 --> 00:10:37,760
And I'm like, dude, you know what, you understand the landscape.
127
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I'm surprised that you think so.
128
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Anyway, we're glad to see you guys come in and actually in Harvey too, and put some
investment here because it's been a badly neglected space.
129
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Yeah, I think that, you know, especially as somebody who, I mean, I first got involved in
extranets really early in my career.
130
00:10:54,383 --> 00:11:01,747
And, you know, I certainly I had an impact where, you I own practice using them and
delivering, you know, providing client reporting through these, through these portals.
131
00:11:01,747 --> 00:11:05,599
So the clients can understand what we were doing, like with the results that we were
getting for our clients.
132
00:11:05,599 --> 00:11:09,071
So like communicating to them the substantive results of our practice.
133
00:11:09,071 --> 00:11:12,346
And certainly, you know, I think that the
134
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The adoption though of portals or extranets as know, oftentimes they're called has been
fairly limited, right?
135
00:11:18,990 --> 00:11:25,343
It's been, you I mean, basically a little bit more advanced than a secure file transfer in
a lot of instances.
136
00:11:25,343 --> 00:11:36,299
And so the potential, I think a lot of people have seen for a long time, myself included,
like we saw robust potential in these client collaboration portals and enhancing the
137
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collaboration between uh law firms and their in-house counsel.
138
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But it's always, it's never lived up.
139
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to that potential.
140
00:11:42,893 --> 00:11:47,855
And I think that, even the things I did with Laura Lewis, just, we barely were scratching
the surface.
141
00:11:47,855 --> 00:11:54,528
So I think that when I look at that pie chart you presented, I think it's probably more or
less accurate as to where portals are today.
142
00:11:54,528 --> 00:12:03,621
I think that you're absolutely right that like portals today are not delivering, people
really aren't delivering a lot of legal services, a lot of final work products.
143
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Certainly they're not creating new service lines, right?
144
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Like self-service legal service.
145
00:12:08,142 --> 00:12:08,690
uh
146
00:12:08,690 --> 00:12:11,570
service delivery through portal today.
147
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Very little of that's being done, particularly in the AMLOS space.
148
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So there's so much more upside.
149
00:12:17,990 --> 00:12:19,310
I think we're going to see a couple of things.
150
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One is you're going to see that pie grow.
151
00:12:21,890 --> 00:12:28,690
The demand for portal services, both on the business law and the practice of law side, is
going to skyrocket.
152
00:12:28,690 --> 00:12:30,790
Again, just because we're so early days.
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00:12:30,790 --> 00:12:36,658
And then I think also, just because practices of law has been such a small portion of what
that is historically,
154
00:12:36,658 --> 00:12:37,718
if that's going to grow.
155
00:12:37,718 --> 00:12:39,778
And I think AI is going be the thing that drives that, right?
156
00:12:39,778 --> 00:12:44,938
Like I said earlier, it's going to be one, just you expect to see better experiences.
157
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know, like email is no longer suitable in an age of AI, clients know that their firms are
using AI throughout the process to accelerate delivery.
158
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And then as firms are going the next, I think the next step though, is as firms are
productizing legal services, right?
159
00:13:00,389 --> 00:13:01,801
So this is kind of the big...
160
00:13:01,801 --> 00:13:07,886
conversation I'm having the most with like management committees and managing partners or
firms is uh what's on the horizon.
161
00:13:07,886 --> 00:13:17,573
You the idea that AI is going to disrupt certain things, you know, that it's going to
change, you you won't be able to build like, know, when you can take that due diligence
162
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from 30 hours to like, to, you know, one or two, you can't charge 30 hours anymore, right?
163
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Like you can maybe charge two or better yet you reprice that work, right?
164
00:13:26,904 --> 00:13:30,867
You say, Hey, it's no longer be doing, you know, the value of the work.
165
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Maybe that correlates to the 30 hours, but now that it's two hours of attorney time, the
value to the client is still substantial for that work.
166
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And it's not really reflected by those two hours.
167
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The metric has gone out of sync for the value that's being delivered to the client.
168
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And so you then want to reprice that work.
169
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Also, it doesn't account for the fact that you had to procure legal technology.
170
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It didn't account for the time and materials to build out the AI workflows that you're
using.
171
00:13:56,327 --> 00:13:59,020
And so you need to capture that value somehow.
172
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And so if you reprice that work on a fixed fee basis or on a subscription fee basis,
you're then able to, you you productize these things.
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And so as firms are seeing kind of what's on the horizon, what's really inspiring to me is
that a lot of managing companies are asking like, how can we self disrupt, right?
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Like they don't want to be caught off guard and wake up one day when the phone stops
ringing and realize the phone has stopped ringing or wake up one day and realize that
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they've been undercut.
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you know, on an RFP because their competitors are offering stuff on a fixed basis and they
haven't done the groundwork, right?
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They haven't learned the technology, they haven't built out their workflows, they haven't
productized their legal services.
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And so they're like caught off guard.
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And so a lot of them are being proactive.
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Now, obviously, I'm talking to more proactive firms, you know, the ones who have their
heads completely in the sand about this, you know, probably aren't taking my calls or
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aren't taking the phone to call me.
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So I am talking to more forward thinking firms.
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But a lot of them are going that next step and really asking from the top down, asking the
management committee is thinking about this.
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And then they're asking their partners, like throughout the partnership, kind of on a
partner by partner basis, what are you doing to rethink pricing, packaging, and delivery
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of legal services in light of AI?
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One thing that one firm that I was talking to did that was particularly interesting is
asking that as part of their year-end partner evaluations.
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So at the end of every year, you have to do a self-evaluation as a partner or a
questionnaire.
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And they'll ask questions like, what have you done for continuity, business continuity?
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Like what have you done this year to ensure that if you were to leave the firm or if you
were to the lottery or something that retire, that other people will be able to continue
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to the torch forward.
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So that's kind of a typical question they would ask.
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And now they're asking, what have you done with AI, right?
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In order to rethink legal services pricing.
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And they're getting ahead of things and re-productizing that.
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And then the way, once you productize things,
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Meaning you take your knowledge and experience of your firm and you embed it into reusable
workflows that are AI powered.
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You then have to deliver those some power.
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And you could just have it be, one option would be to have it just be something that's
available to the associate and the associate pulls the lever and then emails the work
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product.
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But clients know that you're just pulling a lever and they don't want to really, it's not
like, it's not a great experience.
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And there's just so much more we can do in terms of like interactive experiences.
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the ability to ask follow-up questions to able to provide due diligence in this tabular
review, which you can do with Legora, which is this interactive spreadsheet-like
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experience where you can go into each cell and you can see what the AI's reasoning was.
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You can see an audit log of when the AI generated the answer, the associate who signed off
on that answer.
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To be able to have that level of transparency into the work product is something that we
weren't able to have before.
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And so yeah, as they're rethinking productizing, a lot of them are looking at the portal
as a way to deliver these new legal services directly to their clients.
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Yeah, and you and I talked a little bit about like, why is it that such little
sophistication has made its way into these client facing portals?
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And I think it's a combination of two things.
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I'm curious your take on this.
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I think that just inherently, law firms are reluctant to share.
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They don't want to overshare.
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And that's a very
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lawyer mindset, right?
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And it's a good one from a legal perspective, right?
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Additional information that's not essential can create liability, right?
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In a legal context.
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And so law firms have a, they have a natural stance of being conservative on what they
share.
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And then clients haven't really demanded it.
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Like, you know, we compete primarily with high Q and the number of
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Like basic file sharing sites that we see, it's probably four or five to one in terms of
anybody doing anything sophisticated with it.
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And you know, their architecture is very much kind of isolated and it made a lot of sense.
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Like when Haiki first came out, the cloud was big and scary to law firms, you know, so you
really, they had to do a lot of work to ring fence and isolate.
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And that is really what allowed them to
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to grow so quickly, but now that firms are comfortable with the cloud and all the big
AMLaw firms are either there or making their way there, that additional friction, that air
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gap, now makes it challenging when firms want to build integrated experiences.
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When we show a client relationship page, we deploy in the client's tenant, so we can tap
into their practice management solution, their DMS.
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experience management, again, rich attorney profiles for everybody that's spending time to
those matters.
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We can pull into their analytics and show law firms never share whip, legal spend over
time, all of these sorts of things.
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the current model, the current incumbent in that space, the architecture makes that
challenging.
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we see a lot of opportunity there to do things differently, but
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What is your take on why it's been just file sharing?
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it those dynamics or are there other ones?
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I think that's a good point.
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think that probably the biggest reason is that the attorneys themselves aren't in those
systems, right?
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So, they're certainly going to be reluctant to grant access to a platform that they're not
themselves actually using on a day-to-day basis.
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Because the protection, can't really be overstated how sacrosanct like the attorney-client
relationship is to partners.
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how protective partners can be over those relationships.
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Because obviously they're the lifeblood of the firms, but they're also the lifeblood of
the individual partners who were working on them.
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so ensuring that you don't, that you control the narrative is very important to clients.
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Like you said, work in progress, like showing them stuff like was incomplete.
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You don't want them to kind of see your internal impressions, right?
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Like you might have an associate who,
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was working on a draft and you wouldn't want to show like, and they asked, they're like,
is this really what we want?
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Or what about this other counter argument?
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And that might not be the narrative that you ultimately want to present to the client.
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And so it can cause uncertainty in your analysis if the, know, if you inadvertently share,
you know, certain materials to, to a client.
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So I think there's been, there's a lot of protection around that relationship.
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And so when you add to the fact that like the, the systems you're mentioning of
integrating,
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and being able to display, the partners themselves aren't really in those platforms.
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I think what's changed, least for Legora, is that we actually have partners and associates
like you're in Legora daily, right?
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And so we're not coming from the outside and going to a partner and saying, hey, we want
to share your content, your work product with your clients, and you're not using it.
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No, it's the partners and the associates who are using Legora who are saying, hey,
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we have this work product, is there a way that we can control how we share this with our
clients?
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And so, and I would distinguish the kind of two use cases of, we have a final work product
and we want to share that with the client and introduce them to the workspace versus like
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the more self-service productized legal services themselves, as they're rethinking the
service delivery, making that obviously if it's self-service, you need some place where
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the clients are going to come in to perform the legal services or to have it be performed.
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ah But in both instances, it's the attorneys, partners, the associates are already in the
platform using it.
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And then they want to introduce clients to that environment.
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So they're already comfortable with the environment.
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They just want to be able to know exactly, and this is from a product design perspective,
what's really important, you know, to make sure that as we're building this product, that
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it is absolutely crystal clear what's being shared with the client at all times so that
the partners feel comfortable.
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They're already comfortable in the environment.
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Now they're comfortable with, okay, they know exactly what they're sharing with whom.
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and what the clients can see.
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And so, you we allow them, for example, if you're sharing a workflow with clients, you can
have them just see the output, but not see the reasoning.
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You can have them see the reasoning and the output, but not the prompts.
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Right?
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So we allow that granular control, which is particularly important as they productize
their legal services, because they're basically taking their hundreds of years, know, or
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decades of knowledge and experience they have representing.
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mean, there's a reason why top tier firms command a premium in the market.
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um And one of those is that the cumulative experience they have handling a certain type of
work.
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And so they're taking that and they're embedding that into technology, into these
workflows.
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And so they don't, that becomes their IP, right?
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They're something that was in somebody's head and they're embedding it into a workflow and
it is now firm IP that the firm wants to protect and needs to protect.
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And so to be able to ensure that as they're sharing the workflows, the work can get done,
client can come in and say,
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run a contract playbook through the Legora portal, the client can have the playbook be run
and they can get the output from uh Legora, but they don't necessarily see the playbook
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itself that is the IP of the firm.
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Yeah, that makes sense.
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Like how did, how should customers think about.
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Legora clients or other vendors clients when they make systems client facing and they
decide to pivot at some point, right?
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Like they, they want, is there operational risk that they need to think about?
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Like, what if you, like, let's say you're a Legora client today and you share.
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through Lagora portal, a client really likes it and let's say the partner wants to switch
to another platform or like how do you get that kind of pushback?
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Like, hey, if I show this to my clients and I'm kind of, we're getting hitched here.
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Do you ever get, have those sorts of conversations?
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Yeah, I mean, I guess it's an interesting question.
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So I think it highlights the importance of vendor selection, And like vendor durability.
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think one question that does come up in the legal tech space right now, there's a lot of
players.
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uh It's every year at Iltta or Legal Week, there's tons of new players in the market.
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And with an industry that's happening so fast, everything's happening so fast and there's
so many new market entrants in terms of new legal tech companies popping up all the time.
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And we're now starting to see some of them disappear.
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it causes a concern, obviously, on the part of firms, as well as their clients, about
vendor durability and who they want to work with.
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particularly, where we've been thus far, think, been quite flexible, I think, in terms of
like, if you're talking about just like a basic AI legal assistant, there's not a lot of
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risk or switching costs there.
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But as we really look to the future, know, as firms look to embed their knowledge
experience into workflows, they have to be, it's incredibly important that they go with
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vendors that they trust.
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mean, we're basically asking customers to help us build the future of legal practice
together.
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And as we do that, you know, it's very important who they select to build that future.
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And obviously there are a couple of things that clients or customers look to when deciding
among vendors.
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I think financing is one of them.
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You want somebody who has sufficient uh capital to stand the test of time.
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Lawyers are notoriously peer obsessed.
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So looking to their peers and seeing what other firms are going with, gives them lot of
confidence in terms of moving forward.
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But I think that the answer really is to just
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We're going to build the future together with these firms.
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And ultimately, if they're successful, we're going to be successful.
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And the hope would be is that they're successful, there's not going to be a need for them
to move uh to another platform.
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What they're hoping to achieve out of this, in a lot of instances, is client stickiness.
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So they're hoping to entrench their client relationships via these tools and via these
technologies.
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If they are the go-to platform for, like if you create like a self-service labor and
employment portal for a client, and the client in-house counsel is using it daily to
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assess HR, to do compliance, to do customer investigations, to do reductions in forces,
right?
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Like all these different aspects of labor and employment practice, if that can all be
channeled through something like the Legora portal, you're going to create incredible
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client stickiness with that platform.
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And you wouldn't want to move at that point.
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Yeah.
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And you you had experience when you were on the law firm side with kind of like, it's
interesting how many, so we don't have a ton of competition, thankfully, you know, on the
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intranet side, we had one competitor that's really kind of gone from the marketplace for
the most part.
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And we're the only, it's either us or custom dev on the, on the extranet side, there's an
incumbent in that space, which I talked about earlier.
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and you know, it's really, I see customers.
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debating, we buy it or build it?
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And it's such an easy, like we spent 14 years as Acrowire building with law firms and the
ability for us to take what we built and hand over to them where they could manage the
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care and feeding and the enhancements and the support and the training and keeping their
ear out, ear to the ground for any integrations that would implement breaking changes.
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Like they're just, it's such a high bar.
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And a lot of times law firms will go, but it's only going to cost me, you know, 600,000 to
build this thing out.
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And I'm like, yeah, that's, that's the part that has a discrete beginning and end.
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It's the ongoing costs that really drive TCO.
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sometimes four to five X your initial development costs.
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So like, it blows my mind that I still have to have those conversations, but the reality
is I do, because some, some firms have
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dev teams and guess what?
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Devs love to dev, right?
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I did.
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I used to be a developer.
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Um, and you know, it's, that's what you want to do.
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You want to flex those muscles, but like, I don't know, do you run into, how, how do you,
know, in your experience, not just today with the Gora, but like, how have you thought
335
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about that problem kind of build versus buy in the law firm context?
336
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Yeah, so, you know, when I started, you know, really 2013, like started working with firm
IT, you know, the legal tech market was not as mature as it is today.
337
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So I mean, guys, InfoDash was not around at that time.
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You know, so the, if I were to start down this journey today, or if there were an
associate at a firm who were to start down the journey today where I was, like, there's no
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world in which they would have built the software internally.
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Not to say you wouldn't do some internal development.
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I think there's absolutely a role for certain types of development within firms, even
today.
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But you certainly wouldn't have built out the matter management platform as I did.
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What we would have done instead is we would have got one of the top tier matter management
type platforms that exists on the market that are fully customizable.
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We would have bought that or licensed that and then we would have just customized.
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If I were to advise somebody today, that's the route you go down.
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build a fully customizable, you don't internally build a customizable amount of management
platform yourself.
347
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Because you could, mean, you could, but it's it's not, there's just too many options now.
348
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So the calculus has changed from a decade ago.
349
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Now there's lots of great solutions to the market.
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Certainly, as I said, I did a client, I did the extra platform at Morgan Lewis.
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And today it wouldn't make sense to do that.
352
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InfoDash wasn't in the extra net space at that time, right?
353
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So it wouldn't make sense to do that today.
354
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I do, you know, it's interesting to say devs like to dev, that's absolutely true.
355
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And the flip side of that is they don't really like to do maintenance and support.
356
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And so, that's, they want to work on the new thing and they don't want to, you know, uh
tend to the legacy stuff.
357
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So that creates a, you know, certainly like it increases the total cost of ownership of
this, these tools.
358
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And of course, if you built something fully custom, you're almost wedded to the people who
built it, right?
359
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Because those people are the only ones who know.
360
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how that system operates.
361
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And it's difficult to, uh you can't just go off the street and find somebody who knows how
to do it.
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Whereas like, you if you were to use, just take a non-legal example, if you were to build
like a custom solution on top of Salesforce, you know, there's a whole marketplace of
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00:30:13,607 --> 00:30:19,433
people out there who have Salesforce dev skills, who could support your application if,
you know, somebody were to leave your company.
364
00:30:19,433 --> 00:30:23,916
So there's certainly lots of downstream implications of doing custom dev.
365
00:30:23,916 --> 00:30:26,057
The stuff that does make sense,
366
00:30:26,064 --> 00:30:36,437
you know, in terms of custom development in firms, integration work makes a lot of sense
given that uh each firm's systems, know, even if they use like say one of the leading, you
367
00:30:36,437 --> 00:30:44,551
know, timing and billing systems or, you know, the, each one is so customized to each
firm, you know, the amount of complexity there is something that most people, unless
368
00:30:44,551 --> 00:30:52,439
you've been kind of on the database side of things, you don't know how complicated like
timing and billing systems are really, you know, like the matter of practice management
369
00:30:52,439 --> 00:30:54,095
systems inside of firms.
370
00:30:54,095 --> 00:30:56,578
each one is highly bespoke to that firm.
371
00:30:56,578 --> 00:31:06,816
And so the work that you need to do to say integrate a new business intake platform with
another like matter management system is highly specific, is not something you're going to
372
00:31:06,816 --> 00:31:07,938
be able to find off the shelf.
373
00:31:07,938 --> 00:31:11,030
So that kind of work really makes sense.
374
00:31:11,030 --> 00:31:20,436
We do have the conversation kind of today in my role where I'm talking with firms all the
time and I'll show them something you can do with Legar and they'll say,
375
00:31:20,496 --> 00:31:21,996
we built that.
376
00:31:21,996 --> 00:31:24,296
then of course I asked them, like, well, how long did it take you to build that?
377
00:31:24,296 --> 00:31:27,216
And they'll say, oh, well, it took us like four months and we did it like a year ago.
378
00:31:27,216 --> 00:31:28,596
And it's like, awesome.
379
00:31:28,596 --> 00:31:34,736
know, that, you probably that was something that Lagora didn't do a year ago, but you
know, today I did it in Lagora in an hour.
380
00:31:34,896 --> 00:31:42,816
And so if once things become commercially available, right, like once you can use
commercial software and you can just take off the shelf commercial software and customize
381
00:31:42,816 --> 00:31:48,936
it to meet your use case, it no longer makes sense to dedicate development resources
internally to reinvent the wheel.
382
00:31:49,460 --> 00:31:59,610
Instead, it makes sense to dedicate those resources to things that are highly practice or
matter specific that uh you wouldn't be able to find commercially available.
383
00:31:59,610 --> 00:32:07,167
things that, uh you know, and then it looks, makes sense to integrate those with a
platform like Legora via something like MCP, right?
384
00:32:07,167 --> 00:32:14,696
So that way we can handle sort of commercially available use cases, document review,
document traction, things like word add-in.
385
00:32:14,696 --> 00:32:22,292
we can build things like great user experiences, interfaces, permissioning and security
and all those tasks that aren't necessarily the most exciting.
386
00:32:22,292 --> 00:32:27,155
And then firms can focus on what sort of is their competitive advantage, which is their
knowledge and experience, right?
387
00:32:27,155 --> 00:32:36,389
And so they can focus on building technology that really lends to their own strengths and
let us at, in the tech vendor space, let us build great software.
388
00:32:36,435 --> 00:32:37,206
Yeah.
389
00:32:37,206 --> 00:32:38,506
Yeah, that makes sense.
390
00:32:38,506 --> 00:32:45,592
How do you think firms, what is the differentiation equation going to look like, you know,
five years from now?
391
00:32:45,592 --> 00:32:45,932
Right?
392
00:32:45,932 --> 00:32:52,436
Like you can't buy an off the shelf solution and differentiate yourself based on that
tool.
393
00:32:52,436 --> 00:33:02,925
You really kind of have to, you know, I have a theory about this, that law firms are going
to, their special sauce is all of the knowledge and documents that created winning
394
00:33:02,925 --> 00:33:04,776
outcomes for their clients.
395
00:33:04,872 --> 00:33:05,132
Right.
396
00:33:05,132 --> 00:33:08,104
And how do they use that in a wholesale way today?
397
00:33:08,104 --> 00:33:11,305
Like, Legora is a, is a hosted solution, right?
398
00:33:11,305 --> 00:33:17,589
You're kind of bringing your data to AI versus bringing AI to your data.
399
00:33:17,589 --> 00:33:22,162
Like how, how are firms, how are firms going to differentiate themselves?
400
00:33:22,162 --> 00:33:25,194
Cause again, off the shelf tools by themselves aren't going to do it.
401
00:33:25,194 --> 00:33:32,752
Maybe it's through the workflows that you're talking about, but yeah, how is firm A going
to differentiate from firm B?
402
00:33:32,752 --> 00:33:34,032
three to five years from now.
403
00:33:34,032 --> 00:33:38,184
Yeah, so I think what you're getting at though is that there's kind of a short and a long
term.
404
00:33:38,184 --> 00:33:46,407
So in the short term, there is some early mover advantages of people who, you know, who
lean into the tools, you know, not just licensing, but like who really get up to speed and
405
00:33:46,407 --> 00:33:48,988
integrate tools throughout their firms today, right?
406
00:33:48,988 --> 00:33:55,431
Because they have a strategic advantage over their competitors, say a trial, because
they're using AI and their competitors aren't using AI.
407
00:33:55,431 --> 00:34:02,084
But certainly, uh once this kind of short term, once, you know, once everybody has a
legora, for example, right?
408
00:34:02,150 --> 00:34:05,474
and it's become the incumbent solution or has some other tools.
409
00:34:05,474 --> 00:34:10,639
It won't be, you're right to say that you can't, there won't be a competitive advantage
because everybody has it, right?
410
00:34:10,639 --> 00:34:18,467
I mean, so this will be sort of like, if we go back and kind of by analogy, you know,
there were some competitive advantages early on with uh say legal research, electronic
411
00:34:18,467 --> 00:34:19,708
legal research, right?
412
00:34:19,708 --> 00:34:26,578
Early on, if you were a firm who leaned into electronic legal research, you were able to
do more comprehensive legal research than your competitors were.
413
00:34:26,578 --> 00:34:35,058
that then gave you some strategic advantages at trial because you were able to find that
one case that was on point or that case that rebuts what you're, know, that, that
414
00:34:35,058 --> 00:34:38,838
distinguished the precedent on which your opponent was relying.
415
00:34:38,838 --> 00:34:42,138
And so you're able to use, you gain a strategic advantage through that.
416
00:34:42,138 --> 00:34:46,498
But that then became very quickly because this is like a very competitive market.
417
00:34:46,578 --> 00:34:51,338
You know, once you're using it, once kind of the cat's out of the bag on electronic legal
research, everybody's doing it.
418
00:34:51,338 --> 00:34:52,418
It just becomes the new normal.
419
00:34:52,418 --> 00:34:54,058
Like everybody has to do it.
420
00:34:54,074 --> 00:34:57,867
So there's no longer really any competitive advantage to using electronic research.
421
00:34:57,867 --> 00:34:59,199
It's just the baseline, right?
422
00:34:59,199 --> 00:35:06,185
And so in some ways, that will be the case with uh AI as well, is that like it will just
become the new baseline.
423
00:35:06,185 --> 00:35:13,791
In the meantime, though, those firms that lean into it will, you know, do have a chance to
get ahead and to take advantage of that, kind of seize the moment and get ahead.
424
00:35:13,791 --> 00:35:16,763
So I think that, you know, what will be their competitive advantage?
425
00:35:16,763 --> 00:35:19,795
mean, the good news in some ways is that it won't be the software, right?
426
00:35:19,795 --> 00:35:27,655
If they don't have to worry about like once everybody has AI, once they've, it's been the
law schools are teaching it and all the associates know and the partners are using it on a
427
00:35:27,655 --> 00:35:28,915
day to day basis.
428
00:35:28,935 --> 00:35:32,095
It won't be the tech that you buy that's going to be your competitive advantage.
429
00:35:32,095 --> 00:35:36,034
It's going to go back to being the core things that you went to law school for, right?
430
00:35:36,034 --> 00:35:44,235
Look at the core things that firms use to differentiate today, which is like their people,
their experience, their knowledge, their work product, their relationships, their brand,
431
00:35:44,235 --> 00:35:47,095
like those core things they use to differentiate themselves today.
432
00:35:47,095 --> 00:35:49,236
Those will be the enduring things.
433
00:35:49,236 --> 00:35:55,125
that remain once AI has kind of reshaped the landscape and however it's going to do it.
434
00:35:55,125 --> 00:35:57,607
Yeah.
435
00:35:57,607 --> 00:36:08,255
what about the amount of services that inside teams are going to work that once went to a
law firm that they're going to manage internally?
436
00:36:08,255 --> 00:36:12,117
That is going to displace a certain amount of law firm revenue.
437
00:36:12,117 --> 00:36:14,349
And that's not a Lagora problem or a Harvey problem.
438
00:36:14,349 --> 00:36:15,850
That's the tech.
439
00:36:15,850 --> 00:36:17,241
The tech is going to do this.
440
00:36:17,241 --> 00:36:20,978
And law firms just need to come to grips with, I think that they're
441
00:36:20,978 --> 00:36:25,370
credible estimates that 30 % of associate hours today are gone.
442
00:36:25,370 --> 00:36:33,903
Based on where the tech is today, you can take 30 % of associate hours and essentially
tech is going to be delivering on that.
443
00:36:33,903 --> 00:36:38,534
It doesn't matter if it's your platform or the platform down the street.
444
00:36:38,534 --> 00:36:44,197
Firms have to move up the value chain, which creates a lot of other challenges.
445
00:36:44,197 --> 00:36:47,038
Well, that's how you train lawyers.
446
00:36:47,038 --> 00:36:48,679
Is the grunt work?
447
00:36:48,679 --> 00:37:00,185
You throw them in a room with a box of documents and you review them and you have a
partner parachute in and and Provide guidance and this this tech kind of blows that all up
448
00:37:00,185 --> 00:37:10,632
So, you know, it creates it creates challenges like okay the leverage model associate
development You know potentially having a revenue impact
449
00:37:11,043 --> 00:37:20,358
Do you think that there's sufficient, because when I talk to some people, they point to
Javan's paradox and go, there's a ton of unmet need and that's going to more than offset.
450
00:37:20,358 --> 00:37:25,041
And that could be true to a certain extent, but demand isn't infinite.
451
00:37:25,041 --> 00:37:33,905
So it's unclear at this point how far up the complexity spectrum AI is going to make its
way and how fast.
452
00:37:33,905 --> 00:37:35,907
We don't know the answers to that.
453
00:37:35,907 --> 00:37:43,929
In fact, when you talk to credible sources at Frontier Labs today, they've kind of reached
their limits on scaling, right?
454
00:37:43,929 --> 00:37:55,245
Like we've consumed all the publicly available data that's out there and just throwing
more parameters at a model is starting to have diminishing returns.
455
00:37:55,245 --> 00:38:04,670
So there's a lot of talk about like us entering into a new age of research where, you
know, scaling sucked the air out of the room for like the last four years.
456
00:38:04,826 --> 00:38:14,075
And there really wasn't an emphasis in resources placed on research and new approaches
around engineering.
457
00:38:14,075 --> 00:38:17,619
Now with inference, we have a path to make things better.
458
00:38:17,619 --> 00:38:19,551
even there, feel like we're...
459
00:38:19,551 --> 00:38:21,809
Do you think we're gonna need a new...
460
00:38:21,809 --> 00:38:25,813
Are LLMs gonna be the answer in three to five years?
461
00:38:25,813 --> 00:38:27,044
Do you see the trajectory?
462
00:38:27,044 --> 00:38:29,115
And I know it's hard to say for sure, but...
463
00:38:29,173 --> 00:38:38,317
Just based on what you know, do you see LLMs as being the future state in three to five
years or might it be something different?
464
00:38:38,769 --> 00:38:45,513
Yeah, I mean, it's probably beyond my, know, I'm not a researcher in the LLM space, so I
don't know the AI space more broadly.
465
00:38:45,513 --> 00:38:50,176
So I am probably outside of my, you know, was kind of above my pay grade, so to speak.
466
00:38:50,176 --> 00:38:54,464
I mean, I would imagine it's hard for me to based on what I know in my experience of it.
467
00:38:54,464 --> 00:38:59,162
You know, there are people talk about world models being kind of the next frontier of AI.
468
00:38:59,162 --> 00:39:00,152
And I can see that.
469
00:39:00,152 --> 00:39:05,275
But I still kind of haven't gotten a very clean answer as why a why LLMs couldn't
470
00:39:05,275 --> 00:39:10,690
be the source data for creating synthetic data for that, to create scenarios that world
models could then be trained on.
471
00:39:10,690 --> 00:39:16,473
So I would find it very perplexing if what we have today isn't a stepping stone to
whatever's next.
472
00:39:16,473 --> 00:39:22,237
um Is a new breakthrough, a new paradigm going to be necessary to get to that new
location?
473
00:39:22,237 --> 00:39:23,908
Yeah, to that new tier, likely.
474
00:39:23,908 --> 00:39:30,482
You're kind of referring to basically foundational models plateauing, the idea that
scaling isn't going to get us more
475
00:39:30,482 --> 00:39:34,302
I think, yeah, it's quite possible.
476
00:39:34,382 --> 00:39:43,262
When I think about for legal though, I think that even if foundational models plateaued,
we're barely scratching the surface, just in terms of just the number of attorneys who are
477
00:39:43,262 --> 00:39:43,722
using it.
478
00:39:43,722 --> 00:39:50,622
I I didn't see a stat to like half of all attorneys in firms of 500 or more are using AI
last year.
479
00:39:50,622 --> 00:39:53,093
Okay, well, like they used it, what, once?
480
00:39:53,093 --> 00:39:55,769
The amount of adoption is still...
481
00:39:55,769 --> 00:39:57,180
uh relatively low.
482
00:39:57,180 --> 00:39:59,561
mean, obviously it's highly unequal.
483
00:39:59,561 --> 00:40:03,772
There are some people who using it every single day in some firms who have really high
usage.
484
00:40:03,772 --> 00:40:13,199
But just industry-wide, uh we're still early days in terms of just total number of people
who are using it and the value they're getting out of it.
485
00:40:13,199 --> 00:40:22,244
Okay, somebody might be using it to proofread an email, but that's really low-hanging
fruit in terms of what these AI models today are capable of doing.
486
00:40:22,244 --> 00:40:24,914
So from a legal AI perspective,
487
00:40:24,914 --> 00:40:29,898
whether the models plateau or not, there's still plenty of value that we're going to be
able to get.
488
00:40:29,898 --> 00:40:31,979
I don't think the models are going to plateau anytime soon.
489
00:40:31,979 --> 00:40:36,341
I do think there will be those breakthroughs.
490
00:40:36,341 --> 00:40:45,387
I don't have any specific insight into what those will be, but I think that given how much
progress has been made, it'd be kind of silly to bet against them, to bet against them
491
00:40:45,387 --> 00:40:46,568
being a breakthrough.
492
00:40:46,568 --> 00:40:50,906
And we're making a civilizational bet here on AI, right?
493
00:40:50,906 --> 00:40:56,546
the amount of money that's being invested in AI is probably the largest investment we've
ever made as a species.
494
00:40:56,646 --> 00:41:03,046
And so, you know, this is, and the payoff is potentially going to be the most important
technology since, you know, the invention of writing.
495
00:41:03,366 --> 00:41:07,125
So it's, you know, really exciting.
496
00:41:07,125 --> 00:41:13,146
And I think that even if we don't hit AGI or whatnot, I think we're going to still see
incredible things come out of this.
497
00:41:13,506 --> 00:41:20,822
It's just, you know, in the short term, like, you know, we, it seems slow, like from GBT
four to five and then five to 5.1 and two, like,
498
00:41:20,822 --> 00:41:24,062
It seems small, but if you just zoom out, it's accelerating.
499
00:41:24,062 --> 00:41:26,716
It really is impressive, the rate of...
500
00:41:26,716 --> 00:41:29,708
We just get used to things so quickly, right?
501
00:41:29,708 --> 00:41:31,029
And so we're not really impressed.
502
00:41:31,029 --> 00:41:34,080
But you raised a number of other issues too.
503
00:41:34,080 --> 00:41:36,902
So I think Jevin's paradox, I think that's probably right.
504
00:41:36,902 --> 00:41:39,162
I agree with you, is certainly not infinite.
505
00:41:39,162 --> 00:41:47,019
I was reading an article the other day about radiology and there were predictions really
even before GNI, like in terms of predictive coding of...
506
00:41:47,019 --> 00:41:47,763
uh
507
00:41:47,763 --> 00:41:51,483
or of traditional machine learning on x-rays.
508
00:41:51,483 --> 00:41:56,557
People were predicting this back in 2016 that there would be like, don't go to, don't
study radiology.
509
00:41:56,557 --> 00:42:01,449
Like that field's gonna die because the computers are going to, uh you just plant all
that.
510
00:42:01,449 --> 00:42:11,293
There's more demand today for radiology than there ever has before because simply as the
cost goes down to examine an x-ray, the number of doctors who are then sending things off
511
00:42:11,293 --> 00:42:13,764
to get analyzed is up, right?
512
00:42:13,764 --> 00:42:15,247
So like there are now...
513
00:42:15,247 --> 00:42:18,367
greater demand for radiologists than there's ever been before.
514
00:42:18,367 --> 00:42:22,127
And radiological services are being demanded higher than they've ever been before.
515
00:42:22,287 --> 00:42:24,127
And will that continue forever?
516
00:42:24,127 --> 00:42:25,807
Well, probably not, because nothing will.
517
00:42:25,807 --> 00:42:28,927
But I think that it certainly will continue for a long time.
518
00:42:28,927 --> 00:42:38,127
So even in another domain, just as to benchmark what we're thinking in terms of legal,
that's a very highly specialized task that people thought was going to be automated very
519
00:42:38,127 --> 00:42:38,567
quickly.
520
00:42:38,567 --> 00:42:43,681
And what it turned out there, which I think is very relevant to legal by analogy, is that
521
00:42:43,681 --> 00:42:49,053
The mistakes that humans make, it just so happens that they're the kind of things that AI
is really good at catching.
522
00:42:49,053 --> 00:42:52,954
And the mistakes that AI makes, it turns out that humans are actually really good at
catching.
523
00:42:52,954 --> 00:42:58,777
And so when you combine both humans plus AI, it's going to be better than either one on
its own.
524
00:42:58,777 --> 00:43:04,419
There is so much demand for legal services that never gets met because attorneys are
costly.
525
00:43:04,419 --> 00:43:08,716
Obviously, there are different segments of the legal market.
526
00:43:08,716 --> 00:43:17,816
But there are plenty of businesses where you never bother to call an attorney because even
in Fortune 500 companies, because you're like, well, it's not going to be worth the point
527
00:43:17,816 --> 00:43:21,696
two or the point three that they're going to take or the couple of hours they're going to
bill me.
528
00:43:21,796 --> 00:43:27,736
So people are just running the risk all the time by not calling lawyers and not consulting
with lawyers.
529
00:43:27,736 --> 00:43:37,452
And so once you can lower the cost of getting advice on a given question, the number of
times people are going to call their attorneys is going to go up.
530
00:43:37,452 --> 00:43:40,632
And that's just on the compliance advisory space.
531
00:43:40,732 --> 00:43:48,612
Once we go to the litigation space, it's kind of the game theory there is actually even
more interesting because it's like, what does the world look like if everybody you were to
532
00:43:48,612 --> 00:43:53,132
give like an AI attorney, or if you were able to power all the new law school grads?
533
00:43:53,132 --> 00:43:57,332
Because one thing that's interesting is law school attendance is up at an all time high
this year.
534
00:43:57,332 --> 00:44:00,432
The number of people who are looking to go to law school is at an all time high.
535
00:44:00,432 --> 00:44:04,292
So let's assume we have some of the largest law school graduating classes ever.
536
00:44:04,292 --> 00:44:05,812
What are those people going to do?
537
00:44:05,872 --> 00:44:13,199
Well, maybe with AI, they're going be able to go help meet the long tail of unmet needs of
all the people out there who currently can't afford attorneys.
538
00:44:13,199 --> 00:44:21,037
Well, so now what does the world look like when all of a sudden everybody, or at least
you've doubled the amount of people who are able to afford legal services?
539
00:44:21,037 --> 00:44:23,239
Well, now they're able to sue.
540
00:44:23,239 --> 00:44:27,002
When they wouldn't have been able to sue before, they're able to vindicate their rights in
ways they weren't able to before.
541
00:44:27,002 --> 00:44:31,098
And that's then going to cause a massive increase in demand for defense attorneys.
542
00:44:31,098 --> 00:44:36,178
to then defend all the companies who are now being sued by all these new AI enabled
attorneys.
543
00:44:36,318 --> 00:44:44,409
So a lot of these things, the game theory of it is that as demand on one side of the V
increases, the demand will go up on the other side.
544
00:44:44,409 --> 00:44:51,309
So I don't think we're going to see, you say 30 % of associate hours can be replaced with
AI.
545
00:44:51,709 --> 00:44:54,849
On a task level, that may be true.
546
00:44:54,909 --> 00:44:58,553
But it certainly doesn't necessarily follow that like they're
547
00:44:58,553 --> 00:45:04,813
going to you're going need a third of your associates or that you know that that time
won't get repurposed.
548
00:45:04,813 --> 00:45:14,053
And you know, on the training thing, there's a myth, I think there certainly is some
amount of work, you you know, it's like how I learned to be an attorney and how you know,
549
00:45:14,053 --> 00:45:17,353
most of the partners out there learn to be attorneys, like they did it through grinding.
550
00:45:17,353 --> 00:45:21,373
But like, if we're honest with ourselves, like a lot of that work wasn't productive,
right?
551
00:45:21,373 --> 00:45:23,273
A lot of it was just a time sink.
552
00:45:23,273 --> 00:45:25,073
It was just a way to get a lot of hours.
553
00:45:25,073 --> 00:45:27,403
It was a way to generate leverage for a firm.
554
00:45:27,403 --> 00:45:31,016
And it wasn't necessarily something that really trained us.
555
00:45:31,016 --> 00:45:33,498
And in fact, oftentimes it inhibits you.
556
00:45:33,498 --> 00:45:38,903
you're so busy doing the grunt work that you don't even have time to like learn the higher
level skills.
557
00:45:38,903 --> 00:45:41,145
And so it's actually slowing your progress.
558
00:45:41,145 --> 00:45:49,612
And so as AI can handle more of that underlying work, you're able to then focus on the
higher level task, both, you know, even as you're learning.
559
00:45:49,612 --> 00:45:54,986
And I guess the other thing too is that, you know, how are we going to learn or train
associates?
560
00:45:54,986 --> 00:45:56,117
Like if it's like,
561
00:45:56,229 --> 00:46:01,671
ah if it's helping on a lot of these lower-level tasks, mean, the AI is clearly going to
be helping us learn too, right?
562
00:46:01,671 --> 00:46:06,212
AI done, deployed properly, explains its results, right?
563
00:46:06,212 --> 00:46:09,003
It explains where it's getting its analysis.
564
00:46:09,003 --> 00:46:13,075
so oftentimes when people ask me this, particularly in law firm context, they're like,
well, how are we going to train associates?
565
00:46:13,075 --> 00:46:16,377
And it's like, well, it presumes you do a good job of training today.
566
00:46:16,377 --> 00:46:20,646
Training in law firms today is highly unequal.
567
00:46:20,646 --> 00:46:25,606
Not all associates get the same mentorship opportunities as others, right?
568
00:46:25,606 --> 00:46:31,506
It's like, you're really, you know, it's very unequal who gets access to the mentorship
opportunities.
569
00:46:31,566 --> 00:46:43,006
And so if the AI can help us kind of bridge that gap and you level that playing field
where everybody has access to AI in a firm and they can get, the AI can have infinite time
570
00:46:43,006 --> 00:46:49,126
and infinite patience to explain how to do a due diligence, how to analyze a contract, how
to write a brief.
571
00:46:49,126 --> 00:46:57,746
why, you know, when you, when I was an associate, I would get red lines of my briefs back,
but there's no explanations as to why I had made a mistake or why that paragraph needed to
572
00:46:57,746 --> 00:46:59,746
be cut down or moved around.
573
00:46:59,806 --> 00:47:08,266
But with something like LaGaurat today, like we explain every single edit and there's
detailed explanations as to why LaGaurat recommends that edit be made.
574
00:47:08,266 --> 00:47:11,526
And that's far more time and attention than like any partner would ever have.
575
00:47:11,526 --> 00:47:18,714
So I really think the AI is going to be, you know, there might be some bumps along the
road, but I think the AI is actually going to be used to
576
00:47:18,714 --> 00:47:21,697
help us train some of the best attorneys we've ever seen.
577
00:47:21,806 --> 00:47:22,376
Yeah.
578
00:47:22,376 --> 00:47:22,627
Yeah.
579
00:47:22,627 --> 00:47:31,113
I don't disagree that there are much more effective methods than the traditional, you
know, legacy method that we've used to train attorneys.
580
00:47:31,113 --> 00:47:35,656
There are absolutely more efficient and effective ways to do it.
581
00:47:35,656 --> 00:47:38,309
So I think I completely agree with you there.
582
00:47:38,309 --> 00:47:41,092
well, this has been a fantastic conversation, Kyle.
583
00:47:41,092 --> 00:47:47,366
like I said, you and I been chewing the fat in the, on the, the legal collaboration space
for quite some time.
584
00:47:47,366 --> 00:47:48,975
So it's, uh
585
00:47:48,975 --> 00:47:52,567
I really appreciate you spending a few minutes with us this afternoon.
586
00:47:52,731 --> 00:47:54,422
Yeah, like I said, was a lot of fun.
587
00:47:54,422 --> 00:47:54,943
Awesome.
588
00:47:54,943 --> 00:47:55,394
All right.
589
00:47:55,394 --> 00:47:57,177
Well, listen, have a good rest of your day.
590
00:47:57,177 --> 00:47:57,958
We'll chat again soon.
591
00:47:57,958 --> 00:47:59,571
All right.
592
00:47:59,571 --> 00:48:00,142
Sure. -->
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