This recap episode of Legal Innovation Spotlight brings together insights from legal operations leaders, law firm innovators, legal technologists, and founders to explore what it truly means to prepare for the future of law.
Rather than focusing on AI as a standalone tool, these conversations examine how technology intersects with delivery models, client experience, data strategy, legal education, and access to justice. Across firms, vendors, and institutions, a consistent theme emerges: the practice of law may look familiar, but how legal services are delivered, staffed, and experienced is undergoing fundamental change.
From rethinking how lawyers are trained to building client-facing platforms, automating workflows, and expanding access to legal services, this episode surfaces where AI is already creating value and where firms must rethink their assumptions to stay competitive.
This recap highlights the growing shift away from time-based differentiation toward experience, availability, and execution, and the increasing pressure on law firms to redesign services rather than simply enhance existing workflows.
Key takeaways:
The future lawyer must be client-centric, technologically fluent, and continuously learning
Innovation in law is less about tools and more about delivery, change management, and adoption
AI works best when embedded into existing workflows, not layered on top of them
Client portals, extranets, and collaborative platforms are becoming table stakes for modern firms
Data quality, standardization, and hygiene are prerequisites for meaningful AI adoption
Mid-market and specialist firms may have structural advantages over Big Law in adapting quickly
AI has the potential to expand access to justice by reducing time, cost, and complexity barriers
Firms that use today’s capabilities as a blueprint for tomorrow’s technology will be better positioned long-term
About the guests
This recap episode features insights from leaders across legal operations, innovation, technology, and access to justice, including:
Meredith Williams-Range – Chief Legal Operations Officer, Gibson Dunn
Ilona Logvinova – Global Chief AI Officer, Herbert Smith Freehills Kramer
Rachel Shields Williams – Director of Client Intelligence, Sidley Austin
Ben Wightwick – Chief Commercial Officer, Autologyx
Don Fuchs – Co-Founder, Legal Anywhere
Katrina Dittmer – Director of Legal Technology, Eversheds Sutherland
Avaneesh Marwaha – CEO, Litera
Dan Szabo – Senior Director of Innovation, Davis Wright Tremaine
Nikki Korson – Director of Administration, Mayer Brown
Alex Baker – Founder, Legal Tech Collective
Gordon Crenshaw – Partner, The LegalTech Fund
Richard Tromans – Founder, Artificial Lawyer
Raymond Blyd – Founder, Sabaio
Jessica Frank – Director of Justice Initiatives, Free Law Project
Al Hounsell – Senior Director of AI, Innovation & Knowledge, Gowling WLG
Subscribe for Updates
Machine Generated Episode Transcript
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If you just kind of come up the
default, whatever your poli sci
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major and go to law school, where
do you get your business training?
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Where do you get your technology training?
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It's, and it's, it's, that's why
we have to redesign education Yes.
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Of today to build out what, you
know, what we dub as the asset of the
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future of the lawyer in the future.
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Now what we call that is a nimble lawyer.
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Somebody needs to be very resilient.
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I have an entire slide deck on this.
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What we are focused on is how do we
develop the lawyer of the future?
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Right, and how do we, how do
we build those skill sets?
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And it's about creation of someone who
is client-centric, entrepreneur, but
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also entrepreneur to the organization
and, and adding back that kind of IP to
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the organization that is focused on a
different type of client team delivery.
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Meaning it might not just be lawyers
that are delivering, it could be
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consultants within the firm on
data privacy and other elements
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that need to need to provide that.
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It's being a data.
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Centric, AI centric human meaning.
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Don't be afraid of it.
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Work with it.
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Make certain that you're not relying
upon it, but understanding how it
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needs to impact your day to day and
how you can work with that to exceed
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the expectations of the client.
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And, um, someone who's a constant learner.
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And, and making certain that you are,
you're make, you're making time to
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innovate, making time to challenge
yourself and, and things like that.
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So we're focused on a program that not
only will deliver the substantive, the
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substantive is easy to be very honest
with you, if you want me to teach
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someone how to be a tax lawyer, okay.
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That really hadn't
changed in about 20 years.
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It, it really has not, other than certain
tax laws that are changing here or there,
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generally the practice of law from where I
began hasn't changed a ton, but it's how.
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We deliver upon those services.
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That is just systematically
changed, and that's really
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where we have an opportunity.
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To differentiate ourselves mm-hmm.
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In a very unique way, but
it's tapping into those human
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skills, those business skills.
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It's the how I think about, I think
about innovation as doing things
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better, and I think doing things
better is a, is a function of change
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management and it depends on how
large of an impact you wanna have.
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Right.
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At Yale, I was building a transformative
program that would change how
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we did things for 200 years.
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It would be the largest program
that we had done to date.
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Uh, and what was interesting is I
had the support of my dean, right?
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So I had the most senior person
gave me support to do something.
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I had very willing and interested
students and alumni who knew that
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there were gaps and wanted to bridge
those gaps and create something better
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for themselves and future students.
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I had really engaged colleagues across
other parts of the university, including
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the business, uh, school and the side.
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Center for innovation, and so I was able
to pull all of those pieces together and
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my general resourcefulness and hunger
allowed me to leverage my resources along
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among the alumni community and among
the Yale community to be able to do that
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with the political backing of my dean.
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That said, it's still really, really
difficult to do because change management
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is actually in the day to day, right?
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It doesn't matter how much money you have.
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It actually doesn't matter how much
political backing you have, if the
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structure itself is impervious to change,
it's very difficult to do these things.
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So you can create a
really great structure.
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You can endow a program, but if the
people who are in there day-to-day are
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not bought into the mission and are
not constantly striving and hungry to
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improve the processes and review what
they're doing in every single iteration.
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It won't change.
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How is this change going to happen?
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How are lawyers going to evolve to shift
and expand their workflow in this way?
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And it has to be anchored to something
that's easy and something that's
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appealing and something that's an
extension of where we already are.
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And the example that I use is
around social media, right?
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So if you think about Instagram or
TikTok, right, or any of the social
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media tools that, that we generally use
or that, you know, younger generations
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are using, no one ever taught.
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Those users to use those tools.
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And I remember the earlier
days of Instagram, right?
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Playing around with the filters
and sort of learning how to
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use this new app on my phone.
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And it was fun.
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It was really engaging.
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It was really just interesting to
use the seia filter on my photos.
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I was like, wow, this is so cool.
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It feels like amazing.
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A film, like a, you know, like a
la a camera or something like that.
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It just felt really engaging and I think.
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Level of user experience in, that's when
you start to engage and that's when you.
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You know, go with the flow of the, of
the change management more organically.
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I think if it's forced on you, if
you have to use something and it's
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not native, it's not, you know,
behaviorally something that's familiar,
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that's where you run into the, the
biggest change management frictions.
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But what I'm excited about now, which I
think is really a different era than we've
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ever been in before in legal, is that
the legal technologies that we're seeing.
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Do have that sort of easy and inviting
UX look and feel, and they do have that
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value add and that proposition, you can do
something in a way that's really engaging.
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That's cool, that's interesting.
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You can summarize things, you
can have iterative arguments
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that are proposed to you.
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You can have counter
arguments proposed to you.
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You can do things that are quote unquote
cool and that are really just interesting.
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And I think that will be engaging
enough for lawyers to give it a try
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because it's just, it's curiosity.
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It's, you know, it's something that we.
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We tend to engage with as people, and
I think it's no different as lawyers.
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Lawyers are people.
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I am so excited about the
evolutions in, um, data extraction.
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If I had a quarter for every time a
lawyer told me that, like, why can't
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you just go to my documents and get it?
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It's all in my documents.
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And it's like, I'm not trained
to read your documents.
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By the time that you can just give it to
me, it'll be significantly faster than me
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figuring out how to read these documents.
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Um, and so I think that idea of
document extraction is really
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gonna revolutionize experience.
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Like you're still gonna need the
human to kind of give the details that
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don't make it into writing that are
still equally important, particularly
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thinking about like, you know,
deal studies and things like that.
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Um, but I think that it'll really.
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Increase the quality and reduce
the time that it takes to
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get experience information.
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You know, right now, if someone would
only give me three things, I'd say
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give me the location, the client role,
and the industry that matters in.
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Um, but very soon, if not right now based.
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Some of the products on the market
can give that to me immediately.
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So it's like, all right, what are
the next three pieces of data that
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I see people asking for and I know
can help facilitate, you know, not
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just helping our lawyers work more
efficiently, but helping our business
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departments work more efficiently.
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Like, what is that next part?
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You know?
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And then I look at like AI to help
with hygiene and standardization.
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You know, the more that we
could, you know, cleaning up
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records because experience.
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It's always gonna be a little messy
in the data because you have your nice
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structured clean data, but you want
users to give you information too.
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And users are human and
humans are not nice and tidy.
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Um, as much as we like, love
to try to organize our lives.
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We're a little messy, messy, um, we make
mistakes and I really think AI is going
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to help us reduce the amount of human
interaction when it comes to data hygiene.
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Imagine a topic, AI governance,
or ai, it doesn't exist yet.
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AI regulation across the
states of America, okay?
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There's a different sort of set
of rules in every single state.
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What does that mean?
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My company operates in 10 states.
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I wanna know the status of the
regulation in those 10 states.
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Somebody would subscribe to that because
that's meaningful, it's experience and
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it's clever, and I don't wanna have to
pay for the six minute increments of
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somebody looking that up and telling me.
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So, you know, that's the kind of
service that sort of meant something.
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It was meaningful, it did change the dial.
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I think if you sort.
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How the delivery of legal work
took place, where there was a need
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to collaborate across multiple
jurisdictions or multiple third parties.
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So the client, their advisors plus the law
firm, um, how did that get facilitated?
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What did that do, did that
make that transaction 10% more
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efficient, 10, 10% more productive?
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It's very hard to weigh that up in
terms of ROI, but it certainly does.
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Make a difference because you're
then not relying on email and
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losing things and stuff like that.
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It's all condensed in the same sort
of space, and particularly if you do
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that type of work regularly, which
means that you can templatize that.
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And sort of turn that through instead
of, you were talking about provisioning
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and everything else, if you can create a
template of an m and a transaction that
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involves five different jurisdictions.
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'cause you know you're gonna do 20
of them in the next 24 months and the
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data's broadly gonna be the same, and
the data, uh, the document structure's
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gonna be the same, et cetera, et cetera.
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How do you do that
better, quicker, faster.
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You know that that does make a difference.
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It does make a difference.
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So I think they're the kind of
scenarios where I naturally think that
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these kind of tools, these kind of
toolings, sort of elevate the client
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service to client delivery, because
ultimately that's what it's about.
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It's can, can it be
done quicker and faster?
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Sometimes not necessarily
cheaper, but quicker and faster.
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Can it be done more effectively?
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What does that look like?
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Is the client happier?
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Has the client had a good
experience or can the client
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self-service some of that stuff?
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There's a lot of smart lawyers out there.
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Uh, a lot of lawyers that
know what they're doing.
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So I mean, I think most
consumers of, of law firms are
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maybe not that sophisticated.
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How do you know if a lawyer's
better than another lawyer?
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So really what you have to
do is you have to focus on.
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How do I deliver my, my legal
services to my clients, um, along
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with the relationship and the service.
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And one of the biggest complaints
that lawyers or law firms get is
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my lawyer's not available enough.
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An extranet or a client portal is a way
of, I. Maintaining that availability,
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even if you're not really available.
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'cause the client can come in and
interact with the information,
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make comments, um, and, and and
whatnot, even while you're not there.
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So that's really, I, that really became a
big, you know, selling proposition OFTs.
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And I think, you know, why they kind
of took off is because they were so
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popular with cust, with, with clients.
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And then as it evolved further,
we start going from just document.
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Transmittal to redlining back and forth.
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So now my client and I are redlining
back and forth and I can have, you know,
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five or six or seven different people
working in the document at the same time.
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A lot more efficiently than
emailing documents around.
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And then, you know, if you fast forward
to today, you know, we're seeing law
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firms doing all, doing all sorts of
things because they're building in
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workflows that are customized to how.
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A practice area works or you can customize
how you work with an individual client.
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I mean, that's really the killer
application is now the law firm is
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adding value to the client beyond just
the legal services, uh, because of
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00:11:11,775 --> 00:11:14,805
how they're delivering the information
and providing the information.
210
00:11:15,315 --> 00:11:18,615
So the workflow piece and the law
firms that are really be becoming
211
00:11:18,615 --> 00:11:23,055
innovative are really adapting
how they work with the technology.
212
00:11:23,385 --> 00:11:24,525
The exciting thing about.
213
00:11:25,605 --> 00:11:30,375
Extranet technology is, is that it's
become very adaptable where you can
214
00:11:30,375 --> 00:11:35,175
configure it rather than having to put
software developers in to go build a
215
00:11:35,175 --> 00:11:39,974
custom tool every time you want to, uh,
to do something unique with a client.
216
00:11:40,334 --> 00:11:43,964
And so it allows the innovative law
firms to be, you know, very creative
217
00:11:43,964 --> 00:11:48,314
and very quick to market, um, with
some of these unique solutions that
218
00:11:48,314 --> 00:11:52,665
they provide different clients,
especially where, where AI is concerned.
219
00:11:54,435 --> 00:11:56,985
I think we're all still
trying to figure out the ROI.
220
00:11:57,525 --> 00:11:57,765
Right.
221
00:11:57,765 --> 00:12:03,675
You're investing a lot dollars
wise, perhaps time-wise.
222
00:12:03,735 --> 00:12:05,055
Hopefully, for sure.
223
00:12:05,895 --> 00:12:12,255
If you don't, you know, kind of take
an r and d esque mindset, right?
224
00:12:12,345 --> 00:12:16,935
That you're gonna have
some, some misses, right?
225
00:12:16,935 --> 00:12:19,755
But you've gotta have some, you'll,
you'll find some hits, right?
226
00:12:19,755 --> 00:12:21,975
You'll, you'll have,
and then you figure out.
227
00:12:22,515 --> 00:12:28,935
As it matures, as it gets better than
today, you're, you're ready to have
228
00:12:28,935 --> 00:12:33,915
that ROI talk and, and really have
an opportunity to say, Hey, we're
229
00:12:33,915 --> 00:12:38,685
differentiating this way, or we're
ahead of market, or whatever that is.
230
00:12:39,405 --> 00:12:43,245
But to say, I don't know, I'm gonna wait.
231
00:12:43,245 --> 00:12:45,135
I, I think that's a risky bet.
232
00:12:45,225 --> 00:12:48,105
My view on AI is it should.
233
00:12:51,795 --> 00:12:56,025
Associate and partner with their
existing workflows and allow them
234
00:12:56,025 --> 00:13:01,665
to focus on more meaningful client
value work when possible, it should.
235
00:13:01,725 --> 00:13:04,455
Downstream implication of gene
AI is greater than upstream.
236
00:13:05,085 --> 00:13:08,415
That's just, I think
the ability to expand.
237
00:13:08,415 --> 00:13:14,085
Access to justice is a much larger use
case that we focusing on, but the use
238
00:13:14,085 --> 00:13:18,405
cases for m and a private equity VC
is where all the attention is going.
239
00:13:19,380 --> 00:13:26,310
Gen a IH in my lens has a much larger
element down market and with the firms
240
00:13:26,315 --> 00:13:32,370
and, and practitioners that are focused
on individual issues and problem
241
00:13:32,370 --> 00:13:36,420
statements that exist from citizens in
this country and throughout the world.
242
00:13:36,930 --> 00:13:41,070
That is where you can have
material, material improvement
243
00:13:41,070 --> 00:13:42,090
for access to justice.
244
00:13:42,150 --> 00:13:44,940
But that's not what we maturely
talk about day in, day out.
245
00:13:45,090 --> 00:13:45,990
Um, even aire, right?
246
00:13:45,990 --> 00:13:47,970
We focus on our core customers.
247
00:13:48,720 --> 00:13:51,510
Are doing transactional
work or litigation.
248
00:13:51,510 --> 00:13:54,060
So I think it's gonna, it's here to stay.
249
00:13:54,930 --> 00:13:57,600
It's gonna have continuous
iteration and refinement.
250
00:13:57,780 --> 00:13:59,880
It's not a set it and forget it approach.
251
00:14:00,810 --> 00:14:04,260
As models improve every six to
nine months, we have to reassess
252
00:14:04,260 --> 00:14:07,589
what that does to our product
set and then refine and release.
253
00:14:08,040 --> 00:14:09,449
It's super collaborative.
254
00:14:09,449 --> 00:14:12,930
We're asking questions all the time of
what you're doing, how you're doing it,
255
00:14:12,990 --> 00:14:16,170
and sometimes we're behind the eight
ball and sometimes we're out of the game.
256
00:14:16,905 --> 00:14:20,354
It just depends and but having strong
conviction that you're on the right
257
00:14:20,354 --> 00:14:22,334
track is it keeps us moving forward.
258
00:14:22,334 --> 00:14:23,834
So it's should, yeah.
259
00:14:23,834 --> 00:14:24,854
I, I'm optimistic.
260
00:14:24,854 --> 00:14:25,454
I'm sort of bullish.
261
00:14:25,454 --> 00:14:31,454
I don't look, it should improve the
amount of work lawyers have to do too.
262
00:14:31,454 --> 00:14:31,665
Right?
263
00:14:31,665 --> 00:14:36,555
There's so much unvended work that
corporates have that now an associate
264
00:14:36,555 --> 00:14:37,875
can go after, a partner go after.
265
00:14:39,224 --> 00:14:41,084
I don't see it ever making
the industry smaller.
266
00:14:41,084 --> 00:14:45,435
If anything, I think a good gen AI use
case expands opportunity and growth.
267
00:14:45,464 --> 00:14:49,035
We worked backwards from, from the
problem we were looking at like
268
00:14:49,035 --> 00:14:53,655
how can we streamline operations
and unlock new markets with this?
269
00:14:53,714 --> 00:14:57,584
And so we were looking at like our
client base and a lot of the population
270
00:14:57,584 --> 00:15:01,365
of America that, that maybe need legal
services, but it's just out of reach.
271
00:15:01,365 --> 00:15:04,905
And we found that there are like three
key things that keep vast market segments
272
00:15:05,204 --> 00:15:07,305
out of even approaching legal services.
273
00:15:07,935 --> 00:15:11,474
Time, mobility and money are just like
the three things that 80, that are
274
00:15:11,474 --> 00:15:15,015
completely out of reach for 80% of the
population that could use a lawyer, right?
275
00:15:15,795 --> 00:15:20,295
And so we thought, well, when you do,
when a regular person goes to get legal
276
00:15:20,295 --> 00:15:24,314
services, a lot of the cost and time
is front loaded in and just figuring
277
00:15:24,314 --> 00:15:25,635
out like, what does this person need?
278
00:15:25,635 --> 00:15:26,895
What is their situation?
279
00:15:26,895 --> 00:15:28,635
How can I help them as an attorney?
280
00:15:28,635 --> 00:15:28,875
Right?
281
00:15:29,670 --> 00:15:33,209
So the, the use case that we, that
we approached, we, we realized like
282
00:15:33,449 --> 00:15:35,880
at, at first contact, it's six hours.
283
00:15:35,939 --> 00:15:39,089
It's a six hour interview for like,
okay, hi, my name is attorney and you
284
00:15:39,089 --> 00:15:40,560
are such great, thanks for coming in.
285
00:15:40,589 --> 00:15:41,640
What, what's going on today?
286
00:15:41,640 --> 00:15:42,990
And we're gonna write all
this down and figure it out.
287
00:15:43,949 --> 00:15:46,949
And, and we, and every one of
those conversations follows
288
00:15:46,949 --> 00:15:48,569
a pattern that is unique too.
289
00:15:48,750 --> 00:15:50,699
The practice or, or the situation, right?
290
00:15:50,699 --> 00:15:51,329
And we thought, well.
291
00:15:52,080 --> 00:15:52,530
What if?
292
00:15:52,590 --> 00:15:56,490
What if we could, what if we could
apply some AI there to ask, ask the
293
00:15:56,490 --> 00:15:59,850
questions, but not according to a
script or maybe according to a script,
294
00:15:59,850 --> 00:16:02,340
but better than following a script
like a customer service chat bot.
295
00:16:03,150 --> 00:16:05,550
What if it could actually answer a
lot of the tertiary questions that
296
00:16:05,550 --> 00:16:09,090
come up in that conversation that
an attorney, that answer for you?
297
00:16:09,240 --> 00:16:13,980
We've all sat for the AI presentation
when we talk about how AI is streamlining
298
00:16:13,980 --> 00:16:17,130
things and it's making things run
faster, and what does that mean
299
00:16:17,130 --> 00:16:19,080
for associate development, right?
300
00:16:19,080 --> 00:16:20,939
What does it mean for
staffing in terms of.
301
00:16:21,315 --> 00:16:22,665
Retention we're hiring.
302
00:16:22,665 --> 00:16:26,985
And so, you know, to your point, I mean,
I think there is going to be a shift
303
00:16:26,985 --> 00:16:28,755
in the market with respect to demand.
304
00:16:28,905 --> 00:16:30,555
How many heads are you going to need?
305
00:16:30,585 --> 00:16:34,515
Does it mean that suddenly law firms will
be able to engage in more legal work?
306
00:16:34,665 --> 00:16:34,935
Right?
307
00:16:34,935 --> 00:16:39,615
Because now they've freed up some
of the, I I, I say that, and I have
308
00:16:39,615 --> 00:16:43,305
shared this story before because I
think it bred a certain skillset.
309
00:16:43,920 --> 00:16:46,020
People put their typing
speed on their resume.
310
00:16:46,020 --> 00:16:47,730
It was something that
was really important.
311
00:16:47,730 --> 00:16:51,210
And even as an attorney, it mattered
if you could type, because it was such
312
00:16:51,210 --> 00:16:55,320
an integral skillset for those that
were coming in with the technological
313
00:16:55,320 --> 00:16:57,090
shift, just using computers, right?
314
00:16:57,780 --> 00:17:00,960
You had to have chron copies of
everything and everything was in
315
00:17:00,960 --> 00:17:04,440
paper, and you had a paper file
and you had to carry it to court.
316
00:17:04,440 --> 00:17:08,069
And what if you dropped something and it
was a disaster in a lot of ways, right?
317
00:17:08,970 --> 00:17:12,450
No one cares about typing speed
anymore, but the industry is still here.
318
00:17:13,004 --> 00:17:14,114
We're still all working.
319
00:17:14,114 --> 00:17:16,875
We're still delivering services
and we're still doing a great job.
320
00:17:16,875 --> 00:17:20,175
And I don't think that bringing
in the computer and getting
321
00:17:20,175 --> 00:17:23,444
rid of the typewriter, for
example, hurt us in any way.
322
00:17:23,474 --> 00:17:25,454
Even though it made us a whole lot faster.
323
00:17:25,935 --> 00:17:28,935
We're not hiring less
people or any of that.
324
00:17:28,965 --> 00:17:30,735
We're just doing more
work because it's faster.
325
00:17:31,155 --> 00:17:33,435
I mean, I hate to say that out loud
'cause I think all of our industry
326
00:17:33,435 --> 00:17:36,675
experts are saying, oh, we're gonna
need less associates possibly, or.
327
00:17:36,975 --> 00:17:39,794
There might be some stagnation
in the development of people
328
00:17:39,794 --> 00:17:43,695
because now they're not gonna pour
over a document review, right?
329
00:17:44,030 --> 00:17:46,125
I mean, I can type 120 a minute.
330
00:17:46,784 --> 00:17:48,615
I don't think it changes
my career anymore.
331
00:17:48,675 --> 00:17:53,385
If you as an, an organization,
as a firm, as a full service
332
00:17:53,540 --> 00:17:57,375
firm believe in this direction of
travel, let's just put the partner
333
00:17:57,375 --> 00:17:58,875
consensus to one side for a moment.
334
00:17:58,995 --> 00:18:03,945
If you do believe in this direction
of travel, you are effectively.
335
00:18:04,320 --> 00:18:09,900
Having to rebuild every practice area
and every service that you provide to
336
00:18:09,900 --> 00:18:15,030
every different type of client that
you currently service from the ground
337
00:18:15,030 --> 00:18:23,580
up, it's like trying to build 10, 15,
20, 50 startups all at the same time.
338
00:18:24,720 --> 00:18:28,050
Building one is difficult, building 50.
339
00:18:28,695 --> 00:18:33,495
That's a huge lift, particularly
for those that have very
340
00:18:33,495 --> 00:18:35,235
little experience in doing so.
341
00:18:36,254 --> 00:18:41,085
So I think this is where there is a
potential advantage for the mid-market
342
00:18:41,355 --> 00:18:46,095
and SME firms, the specialist firms
that focus on one very specific area.
343
00:18:46,965 --> 00:18:50,355
And if you think about like some
of the most successful technology,
344
00:18:51,014 --> 00:18:51,885
I mean, where did they start?
345
00:18:52,155 --> 00:18:54,855
They started in very specific.
346
00:18:55,514 --> 00:18:58,695
Areas before they became the
behemoths that they're today.
347
00:18:58,695 --> 00:19:03,555
Think about Airbnb and renting
out rooms in San Francisco.
348
00:19:03,615 --> 00:19:07,065
Think about Uber and private limos.
349
00:19:07,274 --> 00:19:09,225
Think about Amazon's secondhand books.
350
00:19:09,225 --> 00:19:12,915
You know, they're all, they all start
in a very focused and specific need.
351
00:19:13,695 --> 00:19:17,325
So I think that's one of the
challenges that big law faces.
352
00:19:17,475 --> 00:19:18,284
Perhaps the biggest one.
353
00:19:18,825 --> 00:19:22,375
Our end of the spectrum, we're
intrigued by the companies that are.
354
00:19:23,625 --> 00:19:28,695
Starting today as a pure technology
company with no law firm, no lawyer around
355
00:19:28,695 --> 00:19:33,555
the table, thinking through how they
deliver some value prop along kind of the,
356
00:19:33,555 --> 00:19:35,745
the, the value chain of legal services.
357
00:19:35,775 --> 00:19:40,245
And maybe at the end of the line there's
an attorney as, as needed and, and you
358
00:19:40,245 --> 00:19:44,130
know, we're entering a new world or
paradigm where there's some shifting in,
359
00:19:44,235 --> 00:19:46,305
in kind of regulatory expectations here.
360
00:19:46,815 --> 00:19:50,475
And do you need to be an
attorney to own a law firm?
361
00:19:50,595 --> 00:19:51,885
And some of those.
362
00:19:52,245 --> 00:19:55,605
They've been breaking down internationally
and they're starting to break down in,
363
00:19:55,665 --> 00:20:00,375
in certain states, and it's, it's a
fascinating time and we've been kicking
364
00:20:00,375 --> 00:20:04,335
the can of how do we like organize
around this and how do we talk about it?
365
00:20:04,335 --> 00:20:07,845
And one of the things we, we
talked about is the law firm 2.0,
366
00:20:07,845 --> 00:20:11,790
as we call it, doesn't start with
a partner or managing partner.
367
00:20:12,014 --> 00:20:15,165
It start, it starts with a
line of code, like it's a
368
00:20:15,165 --> 00:20:16,695
technology company at its ethos.
369
00:20:17,610 --> 00:20:20,880
Then it thinks through at the end,
how do I provide that strategic level
370
00:20:20,880 --> 00:20:25,530
of guidance, that advisory, that that
consultative approach to clients.
371
00:20:25,530 --> 00:20:30,210
And so that's what we're intrigued
by with this concept of law Firm 2.0.
372
00:20:30,210 --> 00:20:33,330
And you know, as we think about the
labs that we just talked about, or
373
00:20:33,330 --> 00:20:37,620
we think about our, our core fund,
you know, we'd be disappointed if.
374
00:20:37,980 --> 00:20:41,880
Over half of our capital is not
deployed in some version or concepts
375
00:20:41,910 --> 00:20:45,000
of these types of models, and they're,
they're baby steps to get there.
376
00:20:45,000 --> 00:20:48,990
And we'll, we'll play along that spectrum,
but you know, this is the future and
377
00:20:48,990 --> 00:20:50,160
this is what we think about all day.
378
00:20:51,120 --> 00:20:55,770
What'll be interesting is as we start
to build truly automated workflows
379
00:20:55,830 --> 00:20:59,580
from start to finish now it may
be a very, very narrow workflow.
380
00:21:00,314 --> 00:21:00,584
Right.
381
00:21:01,185 --> 00:21:02,445
But they, they will grow.
382
00:21:02,504 --> 00:21:03,645
They will grow, right?
383
00:21:03,645 --> 00:21:06,524
It's gonna get more and more, um,
you know, more and more powerful.
384
00:21:06,615 --> 00:21:08,685
That's when I think the whole
risk and insurance thing comes in.
385
00:21:08,895 --> 00:21:11,895
But even so, you could argue that
law firms still have it under their
386
00:21:11,895 --> 00:21:15,314
umbrella, and it'll be down to the law
firm or any consultants they can bring
387
00:21:15,314 --> 00:21:22,334
in to, you know, sort of do pen testing
effectively, to, um, you know, to make
388
00:21:22,334 --> 00:21:23,745
sure that it works completely fine.
389
00:21:23,925 --> 00:21:26,445
But yeah, I mean, for me, this is,
this has always been the battle.
390
00:21:26,805 --> 00:21:30,465
Most lawyers, most professionals, they
see technology and they go, great.
391
00:21:30,465 --> 00:21:33,015
How can that add to what I do already?
392
00:21:33,645 --> 00:21:38,025
How that, how can that finesse or take
a little bit of a bother outta my life?
393
00:21:38,715 --> 00:21:38,985
All right?
394
00:21:38,985 --> 00:21:40,665
They're the center of the universe, right?
395
00:21:42,345 --> 00:21:46,970
If that is all we do with AI now,
then nothing's gonna change at all.
396
00:21:47,625 --> 00:21:49,815
It goes back to, I dunno if we were
probably at this point before, it
397
00:21:49,815 --> 00:21:54,555
becomes the IKEA catalog situation
where you get your, your various
398
00:21:54,555 --> 00:21:58,365
shelving units and cushions and rugs and
throws and all of this kind of stuff.
399
00:21:58,725 --> 00:21:59,655
And it's very prudent.
400
00:21:59,655 --> 00:22:04,425
It's very nice and it greatly increases
the comfort of that person and why not
401
00:22:04,425 --> 00:22:07,485
people like to be comfortable, but it
doesn't change fundamentally anything.
402
00:22:07,485 --> 00:22:10,245
You're not local, boozy at
completely redesigning the building.
403
00:22:10,665 --> 00:22:13,185
You know, you don't change
your one bedroom flat.
404
00:22:13,620 --> 00:22:15,000
Into a machine for living.
405
00:22:15,060 --> 00:22:18,750
As busier said, you know, we're
fundamentally still in the same world
406
00:22:18,750 --> 00:22:21,030
with some decorations from ikea, right.
407
00:22:21,030 --> 00:22:22,530
Bought out a catalog and then installed.
408
00:22:23,070 --> 00:22:26,909
Things only change once you
start to automate whole streams.
409
00:22:27,720 --> 00:22:31,860
And I think that's, and this, I think
this is incredibly difficult for
410
00:22:31,860 --> 00:22:35,340
professionals, particularly lawyers,
to, to get their heads around because
411
00:22:35,340 --> 00:22:40,290
it's just like, yes, you are not
gonna own everything any longer.
412
00:22:41,325 --> 00:22:43,995
You might be able to earn the
output and make money from it, but
413
00:22:43,995 --> 00:22:45,555
you will not own those workflows.
414
00:22:45,615 --> 00:22:50,445
You had some thoughts on AI hallucinations
in legal work and like, what is the
415
00:22:50,445 --> 00:22:56,264
current state of AI hallucinations
and like, challenges around detection?
416
00:22:56,355 --> 00:23:03,135
By this time next year in legal, it
would be 90, 98%, uh, fixed investing.
417
00:23:03,195 --> 00:23:04,125
Investing.
418
00:23:04,575 --> 00:23:08,085
So I'm really scared 'cause I
wanna, I wanna do, I have a project.
419
00:23:08,580 --> 00:23:14,700
Venture at the moment looking at how
to do evals and I'm not the only one.
420
00:23:14,700 --> 00:23:18,420
There are a couple of others passionate
people that wanna fix this problem.
421
00:23:18,810 --> 00:23:21,240
Uh, 'cause I also see it as
an infrastructure problem.
422
00:23:21,450 --> 00:23:28,415
But if you try and, uh, bet against
models improving, it is a losing be.
423
00:23:28,980 --> 00:23:31,020
So that's the scary thing to me.
424
00:23:31,320 --> 00:23:38,100
I ran tests, so when I stumbled upon
this, I ran tests on, uh, open source
425
00:23:38,100 --> 00:23:42,450
models and they were horrible on
legal data, but the frontier models,
426
00:23:42,450 --> 00:23:46,740
the closed models, the cloud models,
they were constantly improving.
427
00:23:47,220 --> 00:23:50,370
And now with their hybrid
architecture, whereby.
428
00:23:51,209 --> 00:23:54,449
Some of them are doing web
search, you know, under the hood,
429
00:23:54,540 --> 00:23:56,669
others are routing or whatever.
430
00:23:56,730 --> 00:24:01,169
Maybe they're just using straight up index
search in the backend and then have a
431
00:24:01,169 --> 00:24:06,330
model go in and some, I don't know what
they're doing, but slowly but surely.
432
00:24:06,735 --> 00:24:09,225
Uh, hallucinations has been reducing.
433
00:24:09,315 --> 00:24:14,505
Now, what does a judge
think a hallucination is?
434
00:24:14,595 --> 00:24:18,885
It's a totally different story
than when a model hallucinates.
435
00:24:18,975 --> 00:24:22,005
A lot of times we think about, you know,
you're too poor to afford attorneys
436
00:24:22,005 --> 00:24:23,835
so that you, one is provided for you.
437
00:24:23,835 --> 00:24:24,045
Right?
438
00:24:24,045 --> 00:24:28,980
The law and order St. Um, but that's
not the case in civil ca in civil
439
00:24:28,980 --> 00:24:32,580
law, there's no, uh, constitutional
right to an attorney in a civil case.
440
00:24:33,000 --> 00:24:34,200
And people don't understand that.
441
00:24:34,200 --> 00:24:38,790
Civil cases can be as life
impacting as a criminal case.
442
00:24:39,120 --> 00:24:41,340
So you can get up to a year in prison.
443
00:24:41,370 --> 00:24:45,660
In a civil case, you can lose your
kids in, um, custody, family matters.
444
00:24:45,930 --> 00:24:47,640
Uh, divorce, you can lose your home.
445
00:24:47,640 --> 00:24:47,850
Right?
446
00:24:47,850 --> 00:24:49,470
Foreclosure, eviction.
447
00:24:49,860 --> 00:24:52,139
You can have your paycheck
taken away, right?
448
00:24:52,139 --> 00:24:53,760
If they, if you have a debt issue.
449
00:24:53,760 --> 00:24:58,050
And so there's all of these things that
are bubbling up in civil court that
450
00:24:58,050 --> 00:25:00,600
are hugely impacting people's lives.
451
00:25:00,960 --> 00:25:03,540
Civil court's actually, where they're
spending a lot of time, most people
452
00:25:03,540 --> 00:25:06,270
are interacting with the justice
system through civil court, and they
453
00:25:06,270 --> 00:25:07,230
don't have the right to an attorney.
454
00:25:07,710 --> 00:25:08,985
So some statistics, right?
455
00:25:08,985 --> 00:25:13,770
So the Legal Services Corporation is
the entity funded by Congress to provide
456
00:25:13,770 --> 00:25:15,480
for, for legal aid across the country.
457
00:25:15,810 --> 00:25:19,379
There are LSC funded legal aid
organizations in every state.
458
00:25:20,430 --> 00:25:24,600
And they have, um, an interesting
project called, or, uh, um, a
459
00:25:24,600 --> 00:25:26,970
funding stream called the tig.
460
00:25:27,240 --> 00:25:31,260
So technology innovation grants
special money set aside to do
461
00:25:31,260 --> 00:25:35,250
innovative things with technology
to impact, uh, the justice gap.
462
00:25:35,850 --> 00:25:37,200
So the justice gap in general, right?
463
00:25:37,200 --> 00:25:37,920
So, um.
464
00:25:39,000 --> 00:25:41,940
2022 study from the Legal
Services Corporation.
465
00:25:41,940 --> 00:25:44,940
It's, uh, literally called
the Justice Gap Report.
466
00:25:45,420 --> 00:25:49,890
Um, something like 92% of people who
are low income have a legal issue
467
00:25:49,890 --> 00:25:51,780
and they can't or don't address it.
468
00:25:51,840 --> 00:25:53,850
So people are sitting there.
469
00:25:54,780 --> 00:25:56,430
Hundreds of millions of people.
470
00:25:56,430 --> 00:26:00,720
I think I did a little statistics
with the census, something like
471
00:26:00,930 --> 00:26:05,520
potentially a hundred million people
are sitting around with life changing
472
00:26:05,520 --> 00:26:09,030
potentially legal issues, and they're
not dealing with them because they
473
00:26:09,060 --> 00:26:10,230
don't have money for an attorney.
474
00:26:10,290 --> 00:26:14,100
They don't know that it's a legal issue
or they go to legal aid and there's not
475
00:26:14,100 --> 00:26:16,889
enough help there to actually get them.
476
00:26:16,889 --> 00:26:18,930
The free lawyers that we've provided.
477
00:26:19,320 --> 00:26:22,050
Through federal funding streams
or local funding streams.
478
00:26:22,050 --> 00:26:25,560
So it's really, a lot of people
are dealing with the justice gap
479
00:26:25,560 --> 00:26:28,620
and technology is around to help.
480
00:26:28,620 --> 00:26:30,810
And so that's what I've
spent my career working on.
481
00:26:30,870 --> 00:26:34,560
I think the starting point is to be
realistic about where the technology
482
00:26:34,560 --> 00:26:39,475
is now, but also very cognizant of
where the technology's going and,
483
00:26:39,480 --> 00:26:43,170
and we've gone, you know, both these
places in our conversation, right?
484
00:26:43,170 --> 00:26:46,350
Like ai, it's not doing the
high value stuff right now.
485
00:26:47,055 --> 00:26:49,665
There's a possible world
where it does do that.
486
00:26:49,995 --> 00:26:54,465
So then the question is, strategically
for an organization, how do I leverage
487
00:26:54,645 --> 00:27:00,915
what it can do now and build a blueprint
for where the technology's going?
488
00:27:01,514 --> 00:27:05,325
So an example that I think I
and probably others use all the
489
00:27:05,325 --> 00:27:07,605
time is that of Netflix, right?
490
00:27:07,605 --> 00:27:12,610
When, when Netflix built its company,
it was on version one of the internet.
491
00:27:13,485 --> 00:27:14,595
There was no streaming.
492
00:27:14,595 --> 00:27:16,605
Broadband wasn't happening.
493
00:27:16,605 --> 00:27:20,235
Like the technical capabilities
were not there for an on
494
00:27:20,235 --> 00:27:22,965
demand video delivery service.
495
00:27:22,965 --> 00:27:23,295
Right.
496
00:27:24,135 --> 00:27:29,325
But strategically, they built
their company to win in that world.
497
00:27:29,699 --> 00:27:31,139
That was very quickly coming.
498
00:27:31,169 --> 00:27:32,939
So what do you need to win?
499
00:27:32,939 --> 00:27:34,379
In a streaming world?
500
00:27:34,649 --> 00:27:35,790
You need a customer base.
501
00:27:35,790 --> 00:27:37,949
You need algorithms for recommendation.
502
00:27:37,949 --> 00:27:41,879
You need to get people used to
clicking on websites in order to
503
00:27:42,179 --> 00:27:45,689
navigate their VI video rentals
rather than going into a store, you
504
00:27:45,689 --> 00:27:47,459
need all these different capacities.
505
00:27:47,459 --> 00:27:50,760
You need a inventory catalog,
you need licensing agreements
506
00:27:50,760 --> 00:27:51,659
with different companies.
507
00:27:51,959 --> 00:27:55,500
All this stuff is necessary
for the streaming world.
508
00:27:56,205 --> 00:27:57,195
But what did they do?
509
00:27:57,195 --> 00:28:02,085
They built a mail order business because
that's what this technology could support
510
00:28:02,085 --> 00:28:06,765
at the time, and it wasn't as good as
brick and mortar in some ways, but they
511
00:28:06,765 --> 00:28:11,145
made use of what the technology could do
in the present in order to win the future.
512
00:28:11,745 --> 00:28:16,035
And that's really why I think it's
important that law firms look at what can
513
00:28:16,035 --> 00:28:22,365
AI do right now and how can we use that
as a blueprint in order to win a future?
514
00:28:22,754 --> 00:28:25,845
Where AI can lawyer just
as well as people can.
515
00:28:25,875 --> 00:28:26,264
Yeah.
516
00:28:26,264 --> 00:28:29,685
And you know what's another interesting
aspect of Netflix and what they were
517
00:28:29,685 --> 00:28:34,544
able to accomplish is they started
streaming other people's content.
518
00:28:35,024 --> 00:28:35,145
Yeah.
519
00:28:35,145 --> 00:28:40,305
And then they, they saw the writing
on the wall of, you know, Disney's
520
00:28:40,305 --> 00:28:45,524
and NBC and all these content
producers creating their own networks.
521
00:28:45,524 --> 00:28:48,315
And they got ahead of that and
started doing original content.
522
00:28:48,959 --> 00:28:55,230
So, yeah, kudos to Netflix for,
you know, seeing the future and
523
00:28:55,230 --> 00:28:56,879
preparing for it proactively.
524
00:28:56,879 --> 00:29:00,959
They didn't wait until these
content providers turned the
525
00:29:00,959 --> 00:29:07,080
screws on the licensing agreements
to make their business unviable.
526
00:29:07,350 --> 00:29:12,389
They started, started early and got
ahead of it, and have been wildly
527
00:29:12,389 --> 00:29:13,740
successful as a result of that.
528
00:29:14,399 --> 00:29:16,560
It's what every successful
company has done.
529
00:29:16,560 --> 00:29:17,459
You look at Uber.
530
00:29:18,105 --> 00:29:22,035
They didn't build their company
in order to create a gig economy.
531
00:29:22,065 --> 00:29:23,385
They happened to do that.
532
00:29:23,805 --> 00:29:27,315
They built their company because
of self-driving vehicles.
533
00:29:27,315 --> 00:29:29,655
That is the future we're
moving into, right?
534
00:29:29,655 --> 00:29:31,575
That's where the profitability is, right?
535
00:29:31,575 --> 00:29:34,125
So you look to the future,
where are we going?
536
00:29:34,545 --> 00:29:38,205
But what do I need to build in the
present in order to win that future?
537
00:29:38,205 --> 00:29:43,845
Because I need a customer base in
order to win the self-driving fleet.
538
00:29:44,565 --> 00:29:45,885
Possible future, right?
539
00:29:45,885 --> 00:29:50,595
So what do law firms need to build right
now to win the future of AI lawyering?
540
00:29:50,895 --> 00:29:53,145
Thanks for listening to
Legal Innovation Spotlight.
541
00:29:53,685 --> 00:29:57,165
If you found value in this chat, hit
the subscribe button to be notified
542
00:29:57,165 --> 00:29:58,635
when we release new episodes.
543
00:29:59,175 --> 00:30:01,845
We'd also really appreciate it if
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544
00:30:01,845 --> 00:30:04,485
us and leave us a review wherever
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545
00:30:05,055 --> 00:30:07,754
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you with top-notch content.
00:00:03,180
If you just kind of come up the
default, whatever your poli sci
2
00:00:03,180 --> 00:00:06,900
major and go to law school, where
do you get your business training?
3
00:00:06,900 --> 00:00:09,270
Where do you get your technology training?
4
00:00:09,360 --> 00:00:13,590
It's, and it's, it's, that's why
we have to redesign education Yes.
5
00:00:13,860 --> 00:00:17,970
Of today to build out what, you
know, what we dub as the asset of the
6
00:00:17,970 --> 00:00:19,230
future of the lawyer in the future.
7
00:00:19,260 --> 00:00:21,150
Now what we call that is a nimble lawyer.
8
00:00:21,210 --> 00:00:22,560
Somebody needs to be very resilient.
9
00:00:22,560 --> 00:00:24,330
I have an entire slide deck on this.
10
00:00:24,390 --> 00:00:27,390
What we are focused on is how do we
develop the lawyer of the future?
11
00:00:27,435 --> 00:00:30,375
Right, and how do we, how do
we build those skill sets?
12
00:00:30,404 --> 00:00:34,455
And it's about creation of someone who
is client-centric, entrepreneur, but
13
00:00:34,455 --> 00:00:38,445
also entrepreneur to the organization
and, and adding back that kind of IP to
14
00:00:38,445 --> 00:00:41,985
the organization that is focused on a
different type of client team delivery.
15
00:00:41,985 --> 00:00:44,415
Meaning it might not just be lawyers
that are delivering, it could be
16
00:00:44,415 --> 00:00:47,834
consultants within the firm on
data privacy and other elements
17
00:00:47,834 --> 00:00:49,394
that need to need to provide that.
18
00:00:49,724 --> 00:00:50,620
It's being a data.
19
00:00:51,315 --> 00:00:55,035
Centric, AI centric human meaning.
20
00:00:55,035 --> 00:00:55,995
Don't be afraid of it.
21
00:00:56,205 --> 00:00:56,865
Work with it.
22
00:00:57,075 --> 00:01:00,075
Make certain that you're not relying
upon it, but understanding how it
23
00:01:00,075 --> 00:01:03,645
needs to impact your day to day and
how you can work with that to exceed
24
00:01:03,855 --> 00:01:05,295
the expectations of the client.
25
00:01:06,165 --> 00:01:08,740
And, um, someone who's a constant learner.
26
00:01:09,795 --> 00:01:13,185
And, and making certain that you are,
you're make, you're making time to
27
00:01:13,185 --> 00:01:16,155
innovate, making time to challenge
yourself and, and things like that.
28
00:01:16,155 --> 00:01:19,095
So we're focused on a program that not
only will deliver the substantive, the
29
00:01:19,095 --> 00:01:22,815
substantive is easy to be very honest
with you, if you want me to teach
30
00:01:22,815 --> 00:01:24,555
someone how to be a tax lawyer, okay.
31
00:01:24,705 --> 00:01:26,175
That really hadn't
changed in about 20 years.
32
00:01:26,595 --> 00:01:29,625
It, it really has not, other than certain
tax laws that are changing here or there,
33
00:01:29,835 --> 00:01:35,325
generally the practice of law from where I
began hasn't changed a ton, but it's how.
34
00:01:35,655 --> 00:01:37,365
We deliver upon those services.
35
00:01:37,365 --> 00:01:42,105
That is just systematically
changed, and that's really
36
00:01:42,105 --> 00:01:43,575
where we have an opportunity.
37
00:01:43,650 --> 00:01:45,720
To differentiate ourselves mm-hmm.
38
00:01:45,960 --> 00:01:48,990
In a very unique way, but
it's tapping into those human
39
00:01:48,990 --> 00:01:50,340
skills, those business skills.
40
00:01:50,370 --> 00:01:53,730
It's the how I think about, I think
about innovation as doing things
41
00:01:53,730 --> 00:01:56,790
better, and I think doing things
better is a, is a function of change
42
00:01:56,790 --> 00:02:01,140
management and it depends on how
large of an impact you wanna have.
43
00:02:01,440 --> 00:02:01,770
Right.
44
00:02:01,770 --> 00:02:05,970
At Yale, I was building a transformative
program that would change how
45
00:02:05,970 --> 00:02:07,470
we did things for 200 years.
46
00:02:07,965 --> 00:02:11,055
It would be the largest program
that we had done to date.
47
00:02:11,745 --> 00:02:16,755
Uh, and what was interesting is I
had the support of my dean, right?
48
00:02:16,755 --> 00:02:20,325
So I had the most senior person
gave me support to do something.
49
00:02:20,775 --> 00:02:24,225
I had very willing and interested
students and alumni who knew that
50
00:02:24,225 --> 00:02:28,005
there were gaps and wanted to bridge
those gaps and create something better
51
00:02:28,005 --> 00:02:30,525
for themselves and future students.
52
00:02:30,975 --> 00:02:35,475
I had really engaged colleagues across
other parts of the university, including
53
00:02:35,475 --> 00:02:37,070
the business, uh, school and the side.
54
00:02:37,755 --> 00:02:42,615
Center for innovation, and so I was able
to pull all of those pieces together and
55
00:02:42,615 --> 00:02:47,475
my general resourcefulness and hunger
allowed me to leverage my resources along
56
00:02:47,505 --> 00:02:50,895
among the alumni community and among
the Yale community to be able to do that
57
00:02:51,105 --> 00:02:53,385
with the political backing of my dean.
58
00:02:53,895 --> 00:02:58,035
That said, it's still really, really
difficult to do because change management
59
00:02:58,245 --> 00:03:01,455
is actually in the day to day, right?
60
00:03:01,695 --> 00:03:03,405
It doesn't matter how much money you have.
61
00:03:03,855 --> 00:03:06,675
It actually doesn't matter how much
political backing you have, if the
62
00:03:06,675 --> 00:03:11,805
structure itself is impervious to change,
it's very difficult to do these things.
63
00:03:11,805 --> 00:03:14,025
So you can create a
really great structure.
64
00:03:14,205 --> 00:03:18,765
You can endow a program, but if the
people who are in there day-to-day are
65
00:03:18,765 --> 00:03:23,385
not bought into the mission and are
not constantly striving and hungry to
66
00:03:23,385 --> 00:03:28,995
improve the processes and review what
they're doing in every single iteration.
67
00:03:29,445 --> 00:03:30,465
It won't change.
68
00:03:30,465 --> 00:03:32,325
How is this change going to happen?
69
00:03:32,325 --> 00:03:37,125
How are lawyers going to evolve to shift
and expand their workflow in this way?
70
00:03:37,125 --> 00:03:40,905
And it has to be anchored to something
that's easy and something that's
71
00:03:40,905 --> 00:03:44,205
appealing and something that's an
extension of where we already are.
72
00:03:44,265 --> 00:03:47,265
And the example that I use is
around social media, right?
73
00:03:47,265 --> 00:03:50,955
So if you think about Instagram or
TikTok, right, or any of the social
74
00:03:50,955 --> 00:03:54,855
media tools that, that we generally use
or that, you know, younger generations
75
00:03:54,855 --> 00:03:56,775
are using, no one ever taught.
76
00:03:57,060 --> 00:03:59,340
Those users to use those tools.
77
00:03:59,340 --> 00:04:01,590
And I remember the earlier
days of Instagram, right?
78
00:04:01,590 --> 00:04:04,590
Playing around with the filters
and sort of learning how to
79
00:04:04,590 --> 00:04:06,359
use this new app on my phone.
80
00:04:06,780 --> 00:04:07,590
And it was fun.
81
00:04:07,709 --> 00:04:08,880
It was really engaging.
82
00:04:08,880 --> 00:04:12,660
It was really just interesting to
use the seia filter on my photos.
83
00:04:12,660 --> 00:04:13,769
I was like, wow, this is so cool.
84
00:04:13,769 --> 00:04:14,490
It feels like amazing.
85
00:04:14,490 --> 00:04:17,344
A film, like a, you know, like a
la a camera or something like that.
86
00:04:17,760 --> 00:04:19,740
It just felt really engaging and I think.
87
00:04:21,810 --> 00:04:27,719
Level of user experience in, that's when
you start to engage and that's when you.
88
00:04:31,695 --> 00:04:35,295
You know, go with the flow of the, of
the change management more organically.
89
00:04:35,565 --> 00:04:38,655
I think if it's forced on you, if
you have to use something and it's
90
00:04:38,655 --> 00:04:42,285
not native, it's not, you know,
behaviorally something that's familiar,
91
00:04:42,555 --> 00:04:45,915
that's where you run into the, the
biggest change management frictions.
92
00:04:45,915 --> 00:04:50,835
But what I'm excited about now, which I
think is really a different era than we've
93
00:04:50,835 --> 00:04:55,005
ever been in before in legal, is that
the legal technologies that we're seeing.
94
00:04:55,420 --> 00:05:00,940
Do have that sort of easy and inviting
UX look and feel, and they do have that
95
00:05:00,940 --> 00:05:05,560
value add and that proposition, you can do
something in a way that's really engaging.
96
00:05:05,560 --> 00:05:06,700
That's cool, that's interesting.
97
00:05:06,700 --> 00:05:09,730
You can summarize things, you
can have iterative arguments
98
00:05:09,850 --> 00:05:11,290
that are proposed to you.
99
00:05:11,290 --> 00:05:13,270
You can have counter
arguments proposed to you.
100
00:05:13,270 --> 00:05:17,500
You can do things that are quote unquote
cool and that are really just interesting.
101
00:05:17,860 --> 00:05:21,820
And I think that will be engaging
enough for lawyers to give it a try
102
00:05:22,060 --> 00:05:23,710
because it's just, it's curiosity.
103
00:05:23,710 --> 00:05:25,010
It's, you know, it's something that we.
104
00:05:25,530 --> 00:05:29,460
We tend to engage with as people, and
I think it's no different as lawyers.
105
00:05:29,460 --> 00:05:30,330
Lawyers are people.
106
00:05:30,480 --> 00:05:35,040
I am so excited about the
evolutions in, um, data extraction.
107
00:05:35,100 --> 00:05:39,300
If I had a quarter for every time a
lawyer told me that, like, why can't
108
00:05:39,300 --> 00:05:40,650
you just go to my documents and get it?
109
00:05:40,650 --> 00:05:41,700
It's all in my documents.
110
00:05:41,700 --> 00:05:44,340
And it's like, I'm not trained
to read your documents.
111
00:05:46,260 --> 00:05:49,560
By the time that you can just give it to
me, it'll be significantly faster than me
112
00:05:49,560 --> 00:05:51,359
figuring out how to read these documents.
113
00:05:51,900 --> 00:05:56,669
Um, and so I think that idea of
document extraction is really
114
00:05:56,669 --> 00:05:58,530
gonna revolutionize experience.
115
00:05:58,530 --> 00:06:01,890
Like you're still gonna need the
human to kind of give the details that
116
00:06:01,890 --> 00:06:05,370
don't make it into writing that are
still equally important, particularly
117
00:06:05,370 --> 00:06:08,640
thinking about like, you know,
deal studies and things like that.
118
00:06:09,299 --> 00:06:10,979
Um, but I think that it'll really.
119
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Increase the quality and reduce
the time that it takes to
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get experience information.
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You know, right now, if someone would
only give me three things, I'd say
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give me the location, the client role,
and the industry that matters in.
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Um, but very soon, if not right now based.
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Some of the products on the market
can give that to me immediately.
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So it's like, all right, what are
the next three pieces of data that
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I see people asking for and I know
can help facilitate, you know, not
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just helping our lawyers work more
efficiently, but helping our business
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departments work more efficiently.
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Like, what is that next part?
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You know?
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And then I look at like AI to help
with hygiene and standardization.
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You know, the more that we
could, you know, cleaning up
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records because experience.
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It's always gonna be a little messy
in the data because you have your nice
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structured clean data, but you want
users to give you information too.
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And users are human and
humans are not nice and tidy.
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Um, as much as we like, love
to try to organize our lives.
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We're a little messy, messy, um, we make
mistakes and I really think AI is going
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to help us reduce the amount of human
interaction when it comes to data hygiene.
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00:07:19,800 --> 00:07:23,940
Imagine a topic, AI governance,
or ai, it doesn't exist yet.
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AI regulation across the
states of America, okay?
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There's a different sort of set
of rules in every single state.
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What does that mean?
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My company operates in 10 states.
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I wanna know the status of the
regulation in those 10 states.
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Somebody would subscribe to that because
that's meaningful, it's experience and
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it's clever, and I don't wanna have to
pay for the six minute increments of
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somebody looking that up and telling me.
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So, you know, that's the kind of
service that sort of meant something.
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It was meaningful, it did change the dial.
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I think if you sort.
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How the delivery of legal work
took place, where there was a need
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to collaborate across multiple
jurisdictions or multiple third parties.
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00:08:08,010 --> 00:08:13,890
So the client, their advisors plus the law
firm, um, how did that get facilitated?
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00:08:13,890 --> 00:08:17,610
What did that do, did that
make that transaction 10% more
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efficient, 10, 10% more productive?
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It's very hard to weigh that up in
terms of ROI, but it certainly does.
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Make a difference because you're
then not relying on email and
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losing things and stuff like that.
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It's all condensed in the same sort
of space, and particularly if you do
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that type of work regularly, which
means that you can templatize that.
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And sort of turn that through instead
of, you were talking about provisioning
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and everything else, if you can create a
template of an m and a transaction that
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involves five different jurisdictions.
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'cause you know you're gonna do 20
of them in the next 24 months and the
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00:08:52,785 --> 00:08:56,085
data's broadly gonna be the same, and
the data, uh, the document structure's
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gonna be the same, et cetera, et cetera.
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How do you do that
better, quicker, faster.
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You know that that does make a difference.
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It does make a difference.
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So I think they're the kind of
scenarios where I naturally think that
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these kind of tools, these kind of
toolings, sort of elevate the client
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service to client delivery, because
ultimately that's what it's about.
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It's can, can it be
done quicker and faster?
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Sometimes not necessarily
cheaper, but quicker and faster.
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Can it be done more effectively?
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What does that look like?
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Is the client happier?
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Has the client had a good
experience or can the client
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self-service some of that stuff?
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There's a lot of smart lawyers out there.
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Uh, a lot of lawyers that
know what they're doing.
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So I mean, I think most
consumers of, of law firms are
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maybe not that sophisticated.
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How do you know if a lawyer's
better than another lawyer?
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00:09:45,194 --> 00:09:48,015
So really what you have to
do is you have to focus on.
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How do I deliver my, my legal
services to my clients, um, along
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with the relationship and the service.
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00:09:55,800 --> 00:09:59,400
And one of the biggest complaints
that lawyers or law firms get is
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my lawyer's not available enough.
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00:10:01,439 --> 00:10:06,095
An extranet or a client portal is a way
of, I. Maintaining that availability,
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00:10:06,545 --> 00:10:08,584
even if you're not really available.
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'cause the client can come in and
interact with the information,
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00:10:11,915 --> 00:10:16,175
make comments, um, and, and and
whatnot, even while you're not there.
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00:10:16,595 --> 00:10:21,755
So that's really, I, that really became a
big, you know, selling proposition OFTs.
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00:10:21,755 --> 00:10:25,535
And I think, you know, why they kind
of took off is because they were so
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popular with cust, with, with clients.
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00:10:28,084 --> 00:10:31,475
And then as it evolved further,
we start going from just document.
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00:10:32,109 --> 00:10:34,839
Transmittal to redlining back and forth.
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00:10:35,260 --> 00:10:39,189
So now my client and I are redlining
back and forth and I can have, you know,
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00:10:39,189 --> 00:10:43,120
five or six or seven different people
working in the document at the same time.
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00:10:43,479 --> 00:10:46,420
A lot more efficiently than
emailing documents around.
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00:10:47,020 --> 00:10:51,459
And then, you know, if you fast forward
to today, you know, we're seeing law
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00:10:51,459 --> 00:10:54,760
firms doing all, doing all sorts of
things because they're building in
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00:10:54,760 --> 00:10:57,704
workflows that are customized to how.
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00:10:58,485 --> 00:11:03,405
A practice area works or you can customize
how you work with an individual client.
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00:11:03,435 --> 00:11:07,065
I mean, that's really the killer
application is now the law firm is
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00:11:07,065 --> 00:11:11,775
adding value to the client beyond just
the legal services, uh, because of
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00:11:11,775 --> 00:11:14,805
how they're delivering the information
and providing the information.
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00:11:15,315 --> 00:11:18,615
So the workflow piece and the law
firms that are really be becoming
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00:11:18,615 --> 00:11:23,055
innovative are really adapting
how they work with the technology.
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00:11:23,385 --> 00:11:24,525
The exciting thing about.
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00:11:25,605 --> 00:11:30,375
Extranet technology is, is that it's
become very adaptable where you can
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00:11:30,375 --> 00:11:35,175
configure it rather than having to put
software developers in to go build a
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00:11:35,175 --> 00:11:39,974
custom tool every time you want to, uh,
to do something unique with a client.
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00:11:40,334 --> 00:11:43,964
And so it allows the innovative law
firms to be, you know, very creative
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00:11:43,964 --> 00:11:48,314
and very quick to market, um, with
some of these unique solutions that
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00:11:48,314 --> 00:11:52,665
they provide different clients,
especially where, where AI is concerned.
219
00:11:54,435 --> 00:11:56,985
I think we're all still
trying to figure out the ROI.
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00:11:57,525 --> 00:11:57,765
Right.
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00:11:57,765 --> 00:12:03,675
You're investing a lot dollars
wise, perhaps time-wise.
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00:12:03,735 --> 00:12:05,055
Hopefully, for sure.
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00:12:05,895 --> 00:12:12,255
If you don't, you know, kind of take
an r and d esque mindset, right?
224
00:12:12,345 --> 00:12:16,935
That you're gonna have
some, some misses, right?
225
00:12:16,935 --> 00:12:19,755
But you've gotta have some, you'll,
you'll find some hits, right?
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00:12:19,755 --> 00:12:21,975
You'll, you'll have,
and then you figure out.
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00:12:22,515 --> 00:12:28,935
As it matures, as it gets better than
today, you're, you're ready to have
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00:12:28,935 --> 00:12:33,915
that ROI talk and, and really have
an opportunity to say, Hey, we're
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00:12:33,915 --> 00:12:38,685
differentiating this way, or we're
ahead of market, or whatever that is.
230
00:12:39,405 --> 00:12:43,245
But to say, I don't know, I'm gonna wait.
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00:12:43,245 --> 00:12:45,135
I, I think that's a risky bet.
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00:12:45,225 --> 00:12:48,105
My view on AI is it should.
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00:12:51,795 --> 00:12:56,025
Associate and partner with their
existing workflows and allow them
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to focus on more meaningful client
value work when possible, it should.
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00:13:01,725 --> 00:13:04,455
Downstream implication of gene
AI is greater than upstream.
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00:13:05,085 --> 00:13:08,415
That's just, I think
the ability to expand.
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00:13:08,415 --> 00:13:14,085
Access to justice is a much larger use
case that we focusing on, but the use
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00:13:14,085 --> 00:13:18,405
cases for m and a private equity VC
is where all the attention is going.
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00:13:19,380 --> 00:13:26,310
Gen a IH in my lens has a much larger
element down market and with the firms
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00:13:26,315 --> 00:13:32,370
and, and practitioners that are focused
on individual issues and problem
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statements that exist from citizens in
this country and throughout the world.
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That is where you can have
material, material improvement
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00:13:41,070 --> 00:13:42,090
for access to justice.
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00:13:42,150 --> 00:13:44,940
But that's not what we maturely
talk about day in, day out.
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Um, even aire, right?
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00:13:45,990 --> 00:13:47,970
We focus on our core customers.
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Are doing transactional
work or litigation.
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00:13:51,510 --> 00:13:54,060
So I think it's gonna, it's here to stay.
249
00:13:54,930 --> 00:13:57,600
It's gonna have continuous
iteration and refinement.
250
00:13:57,780 --> 00:13:59,880
It's not a set it and forget it approach.
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00:14:00,810 --> 00:14:04,260
As models improve every six to
nine months, we have to reassess
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00:14:04,260 --> 00:14:07,589
what that does to our product
set and then refine and release.
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00:14:08,040 --> 00:14:09,449
It's super collaborative.
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00:14:09,449 --> 00:14:12,930
We're asking questions all the time of
what you're doing, how you're doing it,
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00:14:12,990 --> 00:14:16,170
and sometimes we're behind the eight
ball and sometimes we're out of the game.
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00:14:16,905 --> 00:14:20,354
It just depends and but having strong
conviction that you're on the right
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track is it keeps us moving forward.
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00:14:22,334 --> 00:14:23,834
So it's should, yeah.
259
00:14:23,834 --> 00:14:24,854
I, I'm optimistic.
260
00:14:24,854 --> 00:14:25,454
I'm sort of bullish.
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00:14:25,454 --> 00:14:31,454
I don't look, it should improve the
amount of work lawyers have to do too.
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00:14:31,454 --> 00:14:31,665
Right?
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00:14:31,665 --> 00:14:36,555
There's so much unvended work that
corporates have that now an associate
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00:14:36,555 --> 00:14:37,875
can go after, a partner go after.
265
00:14:39,224 --> 00:14:41,084
I don't see it ever making
the industry smaller.
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00:14:41,084 --> 00:14:45,435
If anything, I think a good gen AI use
case expands opportunity and growth.
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00:14:45,464 --> 00:14:49,035
We worked backwards from, from the
problem we were looking at like
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how can we streamline operations
and unlock new markets with this?
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00:14:53,714 --> 00:14:57,584
And so we were looking at like our
client base and a lot of the population
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00:14:57,584 --> 00:15:01,365
of America that, that maybe need legal
services, but it's just out of reach.
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00:15:01,365 --> 00:15:04,905
And we found that there are like three
key things that keep vast market segments
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out of even approaching legal services.
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Time, mobility and money are just like
the three things that 80, that are
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00:15:11,474 --> 00:15:15,015
completely out of reach for 80% of the
population that could use a lawyer, right?
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00:15:15,795 --> 00:15:20,295
And so we thought, well, when you do,
when a regular person goes to get legal
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services, a lot of the cost and time
is front loaded in and just figuring
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out like, what does this person need?
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00:15:25,635 --> 00:15:26,895
What is their situation?
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How can I help them as an attorney?
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00:15:28,635 --> 00:15:28,875
Right?
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00:15:29,670 --> 00:15:33,209
So the, the use case that we, that
we approached, we, we realized like
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at, at first contact, it's six hours.
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It's a six hour interview for like,
okay, hi, my name is attorney and you
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are such great, thanks for coming in.
285
00:15:40,589 --> 00:15:41,640
What, what's going on today?
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00:15:41,640 --> 00:15:42,990
And we're gonna write all
this down and figure it out.
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00:15:43,949 --> 00:15:46,949
And, and we, and every one of
those conversations follows
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00:15:46,949 --> 00:15:48,569
a pattern that is unique too.
289
00:15:48,750 --> 00:15:50,699
The practice or, or the situation, right?
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00:15:50,699 --> 00:15:51,329
And we thought, well.
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What if?
292
00:15:52,590 --> 00:15:56,490
What if we could, what if we could
apply some AI there to ask, ask the
293
00:15:56,490 --> 00:15:59,850
questions, but not according to a
script or maybe according to a script,
294
00:15:59,850 --> 00:16:02,340
but better than following a script
like a customer service chat bot.
295
00:16:03,150 --> 00:16:05,550
What if it could actually answer a
lot of the tertiary questions that
296
00:16:05,550 --> 00:16:09,090
come up in that conversation that
an attorney, that answer for you?
297
00:16:09,240 --> 00:16:13,980
We've all sat for the AI presentation
when we talk about how AI is streamlining
298
00:16:13,980 --> 00:16:17,130
things and it's making things run
faster, and what does that mean
299
00:16:17,130 --> 00:16:19,080
for associate development, right?
300
00:16:19,080 --> 00:16:20,939
What does it mean for
staffing in terms of.
301
00:16:21,315 --> 00:16:22,665
Retention we're hiring.
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00:16:22,665 --> 00:16:26,985
And so, you know, to your point, I mean,
I think there is going to be a shift
303
00:16:26,985 --> 00:16:28,755
in the market with respect to demand.
304
00:16:28,905 --> 00:16:30,555
How many heads are you going to need?
305
00:16:30,585 --> 00:16:34,515
Does it mean that suddenly law firms will
be able to engage in more legal work?
306
00:16:34,665 --> 00:16:34,935
Right?
307
00:16:34,935 --> 00:16:39,615
Because now they've freed up some
of the, I I, I say that, and I have
308
00:16:39,615 --> 00:16:43,305
shared this story before because I
think it bred a certain skillset.
309
00:16:43,920 --> 00:16:46,020
People put their typing
speed on their resume.
310
00:16:46,020 --> 00:16:47,730
It was something that
was really important.
311
00:16:47,730 --> 00:16:51,210
And even as an attorney, it mattered
if you could type, because it was such
312
00:16:51,210 --> 00:16:55,320
an integral skillset for those that
were coming in with the technological
313
00:16:55,320 --> 00:16:57,090
shift, just using computers, right?
314
00:16:57,780 --> 00:17:00,960
You had to have chron copies of
everything and everything was in
315
00:17:00,960 --> 00:17:04,440
paper, and you had a paper file
and you had to carry it to court.
316
00:17:04,440 --> 00:17:08,069
And what if you dropped something and it
was a disaster in a lot of ways, right?
317
00:17:08,970 --> 00:17:12,450
No one cares about typing speed
anymore, but the industry is still here.
318
00:17:13,004 --> 00:17:14,114
We're still all working.
319
00:17:14,114 --> 00:17:16,875
We're still delivering services
and we're still doing a great job.
320
00:17:16,875 --> 00:17:20,175
And I don't think that bringing
in the computer and getting
321
00:17:20,175 --> 00:17:23,444
rid of the typewriter, for
example, hurt us in any way.
322
00:17:23,474 --> 00:17:25,454
Even though it made us a whole lot faster.
323
00:17:25,935 --> 00:17:28,935
We're not hiring less
people or any of that.
324
00:17:28,965 --> 00:17:30,735
We're just doing more
work because it's faster.
325
00:17:31,155 --> 00:17:33,435
I mean, I hate to say that out loud
'cause I think all of our industry
326
00:17:33,435 --> 00:17:36,675
experts are saying, oh, we're gonna
need less associates possibly, or.
327
00:17:36,975 --> 00:17:39,794
There might be some stagnation
in the development of people
328
00:17:39,794 --> 00:17:43,695
because now they're not gonna pour
over a document review, right?
329
00:17:44,030 --> 00:17:46,125
I mean, I can type 120 a minute.
330
00:17:46,784 --> 00:17:48,615
I don't think it changes
my career anymore.
331
00:17:48,675 --> 00:17:53,385
If you as an, an organization,
as a firm, as a full service
332
00:17:53,540 --> 00:17:57,375
firm believe in this direction of
travel, let's just put the partner
333
00:17:57,375 --> 00:17:58,875
consensus to one side for a moment.
334
00:17:58,995 --> 00:18:03,945
If you do believe in this direction
of travel, you are effectively.
335
00:18:04,320 --> 00:18:09,900
Having to rebuild every practice area
and every service that you provide to
336
00:18:09,900 --> 00:18:15,030
every different type of client that
you currently service from the ground
337
00:18:15,030 --> 00:18:23,580
up, it's like trying to build 10, 15,
20, 50 startups all at the same time.
338
00:18:24,720 --> 00:18:28,050
Building one is difficult, building 50.
339
00:18:28,695 --> 00:18:33,495
That's a huge lift, particularly
for those that have very
340
00:18:33,495 --> 00:18:35,235
little experience in doing so.
341
00:18:36,254 --> 00:18:41,085
So I think this is where there is a
potential advantage for the mid-market
342
00:18:41,355 --> 00:18:46,095
and SME firms, the specialist firms
that focus on one very specific area.
343
00:18:46,965 --> 00:18:50,355
And if you think about like some
of the most successful technology,
344
00:18:51,014 --> 00:18:51,885
I mean, where did they start?
345
00:18:52,155 --> 00:18:54,855
They started in very specific.
346
00:18:55,514 --> 00:18:58,695
Areas before they became the
behemoths that they're today.
347
00:18:58,695 --> 00:19:03,555
Think about Airbnb and renting
out rooms in San Francisco.
348
00:19:03,615 --> 00:19:07,065
Think about Uber and private limos.
349
00:19:07,274 --> 00:19:09,225
Think about Amazon's secondhand books.
350
00:19:09,225 --> 00:19:12,915
You know, they're all, they all start
in a very focused and specific need.
351
00:19:13,695 --> 00:19:17,325
So I think that's one of the
challenges that big law faces.
352
00:19:17,475 --> 00:19:18,284
Perhaps the biggest one.
353
00:19:18,825 --> 00:19:22,375
Our end of the spectrum, we're
intrigued by the companies that are.
354
00:19:23,625 --> 00:19:28,695
Starting today as a pure technology
company with no law firm, no lawyer around
355
00:19:28,695 --> 00:19:33,555
the table, thinking through how they
deliver some value prop along kind of the,
356
00:19:33,555 --> 00:19:35,745
the, the value chain of legal services.
357
00:19:35,775 --> 00:19:40,245
And maybe at the end of the line there's
an attorney as, as needed and, and you
358
00:19:40,245 --> 00:19:44,130
know, we're entering a new world or
paradigm where there's some shifting in,
359
00:19:44,235 --> 00:19:46,305
in kind of regulatory expectations here.
360
00:19:46,815 --> 00:19:50,475
And do you need to be an
attorney to own a law firm?
361
00:19:50,595 --> 00:19:51,885
And some of those.
362
00:19:52,245 --> 00:19:55,605
They've been breaking down internationally
and they're starting to break down in,
363
00:19:55,665 --> 00:20:00,375
in certain states, and it's, it's a
fascinating time and we've been kicking
364
00:20:00,375 --> 00:20:04,335
the can of how do we like organize
around this and how do we talk about it?
365
00:20:04,335 --> 00:20:07,845
And one of the things we, we
talked about is the law firm 2.0,
366
00:20:07,845 --> 00:20:11,790
as we call it, doesn't start with
a partner or managing partner.
367
00:20:12,014 --> 00:20:15,165
It start, it starts with a
line of code, like it's a
368
00:20:15,165 --> 00:20:16,695
technology company at its ethos.
369
00:20:17,610 --> 00:20:20,880
Then it thinks through at the end,
how do I provide that strategic level
370
00:20:20,880 --> 00:20:25,530
of guidance, that advisory, that that
consultative approach to clients.
371
00:20:25,530 --> 00:20:30,210
And so that's what we're intrigued
by with this concept of law Firm 2.0.
372
00:20:30,210 --> 00:20:33,330
And you know, as we think about the
labs that we just talked about, or
373
00:20:33,330 --> 00:20:37,620
we think about our, our core fund,
you know, we'd be disappointed if.
374
00:20:37,980 --> 00:20:41,880
Over half of our capital is not
deployed in some version or concepts
375
00:20:41,910 --> 00:20:45,000
of these types of models, and they're,
they're baby steps to get there.
376
00:20:45,000 --> 00:20:48,990
And we'll, we'll play along that spectrum,
but you know, this is the future and
377
00:20:48,990 --> 00:20:50,160
this is what we think about all day.
378
00:20:51,120 --> 00:20:55,770
What'll be interesting is as we start
to build truly automated workflows
379
00:20:55,830 --> 00:20:59,580
from start to finish now it may
be a very, very narrow workflow.
380
00:21:00,314 --> 00:21:00,584
Right.
381
00:21:01,185 --> 00:21:02,445
But they, they will grow.
382
00:21:02,504 --> 00:21:03,645
They will grow, right?
383
00:21:03,645 --> 00:21:06,524
It's gonna get more and more, um,
you know, more and more powerful.
384
00:21:06,615 --> 00:21:08,685
That's when I think the whole
risk and insurance thing comes in.
385
00:21:08,895 --> 00:21:11,895
But even so, you could argue that
law firms still have it under their
386
00:21:11,895 --> 00:21:15,314
umbrella, and it'll be down to the law
firm or any consultants they can bring
387
00:21:15,314 --> 00:21:22,334
in to, you know, sort of do pen testing
effectively, to, um, you know, to make
388
00:21:22,334 --> 00:21:23,745
sure that it works completely fine.
389
00:21:23,925 --> 00:21:26,445
But yeah, I mean, for me, this is,
this has always been the battle.
390
00:21:26,805 --> 00:21:30,465
Most lawyers, most professionals, they
see technology and they go, great.
391
00:21:30,465 --> 00:21:33,015
How can that add to what I do already?
392
00:21:33,645 --> 00:21:38,025
How that, how can that finesse or take
a little bit of a bother outta my life?
393
00:21:38,715 --> 00:21:38,985
All right?
394
00:21:38,985 --> 00:21:40,665
They're the center of the universe, right?
395
00:21:42,345 --> 00:21:46,970
If that is all we do with AI now,
then nothing's gonna change at all.
396
00:21:47,625 --> 00:21:49,815
It goes back to, I dunno if we were
probably at this point before, it
397
00:21:49,815 --> 00:21:54,555
becomes the IKEA catalog situation
where you get your, your various
398
00:21:54,555 --> 00:21:58,365
shelving units and cushions and rugs and
throws and all of this kind of stuff.
399
00:21:58,725 --> 00:21:59,655
And it's very prudent.
400
00:21:59,655 --> 00:22:04,425
It's very nice and it greatly increases
the comfort of that person and why not
401
00:22:04,425 --> 00:22:07,485
people like to be comfortable, but it
doesn't change fundamentally anything.
402
00:22:07,485 --> 00:22:10,245
You're not local, boozy at
completely redesigning the building.
403
00:22:10,665 --> 00:22:13,185
You know, you don't change
your one bedroom flat.
404
00:22:13,620 --> 00:22:15,000
Into a machine for living.
405
00:22:15,060 --> 00:22:18,750
As busier said, you know, we're
fundamentally still in the same world
406
00:22:18,750 --> 00:22:21,030
with some decorations from ikea, right.
407
00:22:21,030 --> 00:22:22,530
Bought out a catalog and then installed.
408
00:22:23,070 --> 00:22:26,909
Things only change once you
start to automate whole streams.
409
00:22:27,720 --> 00:22:31,860
And I think that's, and this, I think
this is incredibly difficult for
410
00:22:31,860 --> 00:22:35,340
professionals, particularly lawyers,
to, to get their heads around because
411
00:22:35,340 --> 00:22:40,290
it's just like, yes, you are not
gonna own everything any longer.
412
00:22:41,325 --> 00:22:43,995
You might be able to earn the
output and make money from it, but
413
00:22:43,995 --> 00:22:45,555
you will not own those workflows.
414
00:22:45,615 --> 00:22:50,445
You had some thoughts on AI hallucinations
in legal work and like, what is the
415
00:22:50,445 --> 00:22:56,264
current state of AI hallucinations
and like, challenges around detection?
416
00:22:56,355 --> 00:23:03,135
By this time next year in legal, it
would be 90, 98%, uh, fixed investing.
417
00:23:03,195 --> 00:23:04,125
Investing.
418
00:23:04,575 --> 00:23:08,085
So I'm really scared 'cause I
wanna, I wanna do, I have a project.
419
00:23:08,580 --> 00:23:14,700
Venture at the moment looking at how
to do evals and I'm not the only one.
420
00:23:14,700 --> 00:23:18,420
There are a couple of others passionate
people that wanna fix this problem.
421
00:23:18,810 --> 00:23:21,240
Uh, 'cause I also see it as
an infrastructure problem.
422
00:23:21,450 --> 00:23:28,415
But if you try and, uh, bet against
models improving, it is a losing be.
423
00:23:28,980 --> 00:23:31,020
So that's the scary thing to me.
424
00:23:31,320 --> 00:23:38,100
I ran tests, so when I stumbled upon
this, I ran tests on, uh, open source
425
00:23:38,100 --> 00:23:42,450
models and they were horrible on
legal data, but the frontier models,
426
00:23:42,450 --> 00:23:46,740
the closed models, the cloud models,
they were constantly improving.
427
00:23:47,220 --> 00:23:50,370
And now with their hybrid
architecture, whereby.
428
00:23:51,209 --> 00:23:54,449
Some of them are doing web
search, you know, under the hood,
429
00:23:54,540 --> 00:23:56,669
others are routing or whatever.
430
00:23:56,730 --> 00:24:01,169
Maybe they're just using straight up index
search in the backend and then have a
431
00:24:01,169 --> 00:24:06,330
model go in and some, I don't know what
they're doing, but slowly but surely.
432
00:24:06,735 --> 00:24:09,225
Uh, hallucinations has been reducing.
433
00:24:09,315 --> 00:24:14,505
Now, what does a judge
think a hallucination is?
434
00:24:14,595 --> 00:24:18,885
It's a totally different story
than when a model hallucinates.
435
00:24:18,975 --> 00:24:22,005
A lot of times we think about, you know,
you're too poor to afford attorneys
436
00:24:22,005 --> 00:24:23,835
so that you, one is provided for you.
437
00:24:23,835 --> 00:24:24,045
Right?
438
00:24:24,045 --> 00:24:28,980
The law and order St. Um, but that's
not the case in civil ca in civil
439
00:24:28,980 --> 00:24:32,580
law, there's no, uh, constitutional
right to an attorney in a civil case.
440
00:24:33,000 --> 00:24:34,200
And people don't understand that.
441
00:24:34,200 --> 00:24:38,790
Civil cases can be as life
impacting as a criminal case.
442
00:24:39,120 --> 00:24:41,340
So you can get up to a year in prison.
443
00:24:41,370 --> 00:24:45,660
In a civil case, you can lose your
kids in, um, custody, family matters.
444
00:24:45,930 --> 00:24:47,640
Uh, divorce, you can lose your home.
445
00:24:47,640 --> 00:24:47,850
Right?
446
00:24:47,850 --> 00:24:49,470
Foreclosure, eviction.
447
00:24:49,860 --> 00:24:52,139
You can have your paycheck
taken away, right?
448
00:24:52,139 --> 00:24:53,760
If they, if you have a debt issue.
449
00:24:53,760 --> 00:24:58,050
And so there's all of these things that
are bubbling up in civil court that
450
00:24:58,050 --> 00:25:00,600
are hugely impacting people's lives.
451
00:25:00,960 --> 00:25:03,540
Civil court's actually, where they're
spending a lot of time, most people
452
00:25:03,540 --> 00:25:06,270
are interacting with the justice
system through civil court, and they
453
00:25:06,270 --> 00:25:07,230
don't have the right to an attorney.
454
00:25:07,710 --> 00:25:08,985
So some statistics, right?
455
00:25:08,985 --> 00:25:13,770
So the Legal Services Corporation is
the entity funded by Congress to provide
456
00:25:13,770 --> 00:25:15,480
for, for legal aid across the country.
457
00:25:15,810 --> 00:25:19,379
There are LSC funded legal aid
organizations in every state.
458
00:25:20,430 --> 00:25:24,600
And they have, um, an interesting
project called, or, uh, um, a
459
00:25:24,600 --> 00:25:26,970
funding stream called the tig.
460
00:25:27,240 --> 00:25:31,260
So technology innovation grants
special money set aside to do
461
00:25:31,260 --> 00:25:35,250
innovative things with technology
to impact, uh, the justice gap.
462
00:25:35,850 --> 00:25:37,200
So the justice gap in general, right?
463
00:25:37,200 --> 00:25:37,920
So, um.
464
00:25:39,000 --> 00:25:41,940
2022 study from the Legal
Services Corporation.
465
00:25:41,940 --> 00:25:44,940
It's, uh, literally called
the Justice Gap Report.
466
00:25:45,420 --> 00:25:49,890
Um, something like 92% of people who
are low income have a legal issue
467
00:25:49,890 --> 00:25:51,780
and they can't or don't address it.
468
00:25:51,840 --> 00:25:53,850
So people are sitting there.
469
00:25:54,780 --> 00:25:56,430
Hundreds of millions of people.
470
00:25:56,430 --> 00:26:00,720
I think I did a little statistics
with the census, something like
471
00:26:00,930 --> 00:26:05,520
potentially a hundred million people
are sitting around with life changing
472
00:26:05,520 --> 00:26:09,030
potentially legal issues, and they're
not dealing with them because they
473
00:26:09,060 --> 00:26:10,230
don't have money for an attorney.
474
00:26:10,290 --> 00:26:14,100
They don't know that it's a legal issue
or they go to legal aid and there's not
475
00:26:14,100 --> 00:26:16,889
enough help there to actually get them.
476
00:26:16,889 --> 00:26:18,930
The free lawyers that we've provided.
477
00:26:19,320 --> 00:26:22,050
Through federal funding streams
or local funding streams.
478
00:26:22,050 --> 00:26:25,560
So it's really, a lot of people
are dealing with the justice gap
479
00:26:25,560 --> 00:26:28,620
and technology is around to help.
480
00:26:28,620 --> 00:26:30,810
And so that's what I've
spent my career working on.
481
00:26:30,870 --> 00:26:34,560
I think the starting point is to be
realistic about where the technology
482
00:26:34,560 --> 00:26:39,475
is now, but also very cognizant of
where the technology's going and,
483
00:26:39,480 --> 00:26:43,170
and we've gone, you know, both these
places in our conversation, right?
484
00:26:43,170 --> 00:26:46,350
Like ai, it's not doing the
high value stuff right now.
485
00:26:47,055 --> 00:26:49,665
There's a possible world
where it does do that.
486
00:26:49,995 --> 00:26:54,465
So then the question is, strategically
for an organization, how do I leverage
487
00:26:54,645 --> 00:27:00,915
what it can do now and build a blueprint
for where the technology's going?
488
00:27:01,514 --> 00:27:05,325
So an example that I think I
and probably others use all the
489
00:27:05,325 --> 00:27:07,605
time is that of Netflix, right?
490
00:27:07,605 --> 00:27:12,610
When, when Netflix built its company,
it was on version one of the internet.
491
00:27:13,485 --> 00:27:14,595
There was no streaming.
492
00:27:14,595 --> 00:27:16,605
Broadband wasn't happening.
493
00:27:16,605 --> 00:27:20,235
Like the technical capabilities
were not there for an on
494
00:27:20,235 --> 00:27:22,965
demand video delivery service.
495
00:27:22,965 --> 00:27:23,295
Right.
496
00:27:24,135 --> 00:27:29,325
But strategically, they built
their company to win in that world.
497
00:27:29,699 --> 00:27:31,139
That was very quickly coming.
498
00:27:31,169 --> 00:27:32,939
So what do you need to win?
499
00:27:32,939 --> 00:27:34,379
In a streaming world?
500
00:27:34,649 --> 00:27:35,790
You need a customer base.
501
00:27:35,790 --> 00:27:37,949
You need algorithms for recommendation.
502
00:27:37,949 --> 00:27:41,879
You need to get people used to
clicking on websites in order to
503
00:27:42,179 --> 00:27:45,689
navigate their VI video rentals
rather than going into a store, you
504
00:27:45,689 --> 00:27:47,459
need all these different capacities.
505
00:27:47,459 --> 00:27:50,760
You need a inventory catalog,
you need licensing agreements
506
00:27:50,760 --> 00:27:51,659
with different companies.
507
00:27:51,959 --> 00:27:55,500
All this stuff is necessary
for the streaming world.
508
00:27:56,205 --> 00:27:57,195
But what did they do?
509
00:27:57,195 --> 00:28:02,085
They built a mail order business because
that's what this technology could support
510
00:28:02,085 --> 00:28:06,765
at the time, and it wasn't as good as
brick and mortar in some ways, but they
511
00:28:06,765 --> 00:28:11,145
made use of what the technology could do
in the present in order to win the future.
512
00:28:11,745 --> 00:28:16,035
And that's really why I think it's
important that law firms look at what can
513
00:28:16,035 --> 00:28:22,365
AI do right now and how can we use that
as a blueprint in order to win a future?
514
00:28:22,754 --> 00:28:25,845
Where AI can lawyer just
as well as people can.
515
00:28:25,875 --> 00:28:26,264
Yeah.
516
00:28:26,264 --> 00:28:29,685
And you know what's another interesting
aspect of Netflix and what they were
517
00:28:29,685 --> 00:28:34,544
able to accomplish is they started
streaming other people's content.
518
00:28:35,024 --> 00:28:35,145
Yeah.
519
00:28:35,145 --> 00:28:40,305
And then they, they saw the writing
on the wall of, you know, Disney's
520
00:28:40,305 --> 00:28:45,524
and NBC and all these content
producers creating their own networks.
521
00:28:45,524 --> 00:28:48,315
And they got ahead of that and
started doing original content.
522
00:28:48,959 --> 00:28:55,230
So, yeah, kudos to Netflix for,
you know, seeing the future and
523
00:28:55,230 --> 00:28:56,879
preparing for it proactively.
524
00:28:56,879 --> 00:29:00,959
They didn't wait until these
content providers turned the
525
00:29:00,959 --> 00:29:07,080
screws on the licensing agreements
to make their business unviable.
526
00:29:07,350 --> 00:29:12,389
They started, started early and got
ahead of it, and have been wildly
527
00:29:12,389 --> 00:29:13,740
successful as a result of that.
528
00:29:14,399 --> 00:29:16,560
It's what every successful
company has done.
529
00:29:16,560 --> 00:29:17,459
You look at Uber.
530
00:29:18,105 --> 00:29:22,035
They didn't build their company
in order to create a gig economy.
531
00:29:22,065 --> 00:29:23,385
They happened to do that.
532
00:29:23,805 --> 00:29:27,315
They built their company because
of self-driving vehicles.
533
00:29:27,315 --> 00:29:29,655
That is the future we're
moving into, right?
534
00:29:29,655 --> 00:29:31,575
That's where the profitability is, right?
535
00:29:31,575 --> 00:29:34,125
So you look to the future,
where are we going?
536
00:29:34,545 --> 00:29:38,205
But what do I need to build in the
present in order to win that future?
537
00:29:38,205 --> 00:29:43,845
Because I need a customer base in
order to win the self-driving fleet.
538
00:29:44,565 --> 00:29:45,885
Possible future, right?
539
00:29:45,885 --> 00:29:50,595
So what do law firms need to build right
now to win the future of AI lawyering?
540
00:29:50,895 --> 00:29:53,145
Thanks for listening to
Legal Innovation Spotlight.
541
00:29:53,685 --> 00:29:57,165
If you found value in this chat, hit
the subscribe button to be notified
542
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543
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544
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545
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