In this episode, Ted sits down with Patrick DiDomenico and Kevin Klein, Co-Founders of Legal Tech Connect, to discuss the evolution of knowledge management and innovation in law firms and the launch of their new Innovators and Investors event. From the growth of the KM&I Conference to bridging the gap between law firms, vendors, and investors, Patrick and Kevin share their expertise in legal technology, community building, and event design. With candid insights on AI, market dynamics, and why collaboration matters, this conversation offers law professionals a front-row seat to the future of legal innovation.
In this episode, Patrick and Kevin share insights on how to:
Build stronger connections between knowledge management and innovation leaders
Understand the purpose and goals of the KM & I Conference and Legal Tech Connect
Navigate the shifting investment landscape in legal technology
Recognize the role of AI and automation in reshaping law firm strategies
Leverage community and collaboration to accelerate innovation across the industry
Key takeaways:
The KM & I Conference has become a hub for knowledge management and innovation leaders in law
Legal Tech Connect’s Innovators and Investors event bridges builders, buyers, and funders in legal tech
Market dynamics are shifting, with rapid capital inflows and growing concerns about sustainability
AI hype highlights old problems but also provides powerful new tools for firms to unlock their data
Community-driven collaboration is essential to driving meaningful, long-term change in the legal industry
About the guests Patrick DiDomenico & Kevin Klein
Patrick DiDomenico is the Co-Founder of LegalTech Connect and a leading voice in legal innovation, technology, and knowledge management. A former litigation attorney, he went on to serve as Chief Knowledge Officer and Chief Innovation Officer at several Am Law 100 firms before founding InspireKM Consulting and the KM&I for Legal Conference. An award-winning author, advisor, and investor, Patrick is widely recognized for his contributions to advancing knowledge management and legal technology.
Kevin Klein is the Co-Founder of LegalTech Connect with over 20 years of experience producing high-impact events for the legal sector, centered on knowledge management, innovation, and emerging technology. He previously served as Program Director at ARK Group and VP of Content & Programming at InsidePractice, where he built expertise in market analysis, content strategy, and program design. Widely recognized for his ability to convene leaders, innovators, and emerging voices, Kevin has shaped some of the industry’s most enduring conversations.
“Clearly the dawn of the internet changed the business landscape from that point forward. AI is most certainly going to do the same thing. We’re not sure at what speed and velocity.”
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Patrick and Kevin, how are you this morning?
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Doing great.
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How are you, Ted?
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and awesome.
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This is a treat.
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I don't get to guests on the pod that often.
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So um it's exciting to we can have we have 50 % more banter, which is always fun.
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So I think you know, the audience, you guys are both pretty visible in the KM &I world.
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But for those that that don't know you, I've known you both for a really long time.
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I think maybe early 2010s, Patrick, you were CKO at OD, Ogletree Deacons, and Kevin, you
were running ArcKM back when we were sponsors.
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So a lot of history with you both, and I'm really excited about the conversation.
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We're going to talk about just events.
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We're going to talk about innovation.
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We're going talk about the events you guys have coming up in, God, really, what is that,
six weeks?
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Yeah.
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Eight weeks?
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But who's counting?
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Yeah.
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Yeah.
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We can hear the tick of every moment here, but yes, uh eight weeks.
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Yeah, that's of yesterday.
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And you guys have a new event coming up that we're going to talk about.
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But before we do, let's get you guys introduced.
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um Patrick, why don't you go first?
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Yeah, thanks.
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Patrick DiDomenico here.
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Hello, everybody.
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uh Let's see, where to begin.
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I used to practice law for about nine years, uh switched out of practicing in the early to
mid 2000s.
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I think it was 2005, actually, uh into knowledge management, innovation, technology, at
the firm that I practiced at, uh which is called Givens Selle Deo.
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And then...
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continued to do that type of work for the last 20 years.
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In fact, this is my 20th year, 2025 here, uh doing KM Innovation Technology, et cetera.
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uh Along the way, I did the CKO and Chief Innovation Officer jobs at various firms like
Ogletree Deacons, as you mentioned, and as a double voice in Plimpton for a couple of
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years.
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My most recent firm was Jackson Lewis, where I was the
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chief innovation officer.
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And then in, what was it, 2022?
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It's a blur at this point.
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Last few years, I went out on my own, I started consulting.
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So doing all the fun stuff that I was doing at individual firms, helping other firms do
that.
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Also in-house legal departments and legal tech companies have been advising and investing
in legal tech companies for number of years now.
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ah And then of course started the KM &I conference uh in 2023.
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And Ted, I know you are very familiar with it because you are our very first sponsor,
which we appreciate.
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And this year partnering with Kevin, who I've known for 20 of those years, um spun up
Legal Tech Connect.
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And I know we're going to be talking about that as well.
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So ah excited to be here.
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Thanks for having us, Ted.
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Yeah, absolutely.
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Kevin?
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Yeah, I think that 20 year reference um actually fits like a glove.
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I, in 2005, uh joined the core team at the ARC Group, which was known for its flagship
event, the KM Legal Conference, which initially ran in, I think, September of 2005 in
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Chicago.
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um So I spent about 17 years with ARC.
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uh So we produced
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a number of practice management events.
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We had a BI conference, a competitive intelligence conference, a long running law firm
libraries conference and community that we sort of fostered.
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yeah, Patrick and Joshua Fireman and Ron Friedman, think, you know, initially it was
Joshua and Ron that were co-chairing the KM legal conference.
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And then several years later, we moved it to New York and it was Patrick and Joshua.
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we have been working together.
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uh
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almost all of those 20 years, at least 15 of them.
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So 17 years as program director at our group, just shy of three years with inside
practice.
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And then as Patrick mentioned, more recently joined forces and something we've been
talking about for many years to actually kind of formalize our working relationship and
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collaborate and do this together.
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And it's been a lot of fun right out of the gate.
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Good stuff, man.
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Good stuff.
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Well, yeah, I mean, I'm a big fan of all the events that you both have been involved with.
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I was an ARKKM sponsor in the early days.
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um And, you know, we were a sponsor in the ARKBI event.
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I don't know if there were multiple.
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There was one in New York.
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It was really good.
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It was small, but it was really good.
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I think we presented, actually.
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ran at least eight or nine years, that BI event, which was interesting, interestingly kind
of a precursor to the AI stuff, right?
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The predictive analytics and yeah, that was, it was very finance focused, I think in
general, but that was a great event.
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And it was a little bit on the intimate.
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It was usually 50 to 80 people, you know, like a lot of the archivants were.
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Yeah.
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mean, I think probably most of our listeners are familiar with your KM &I event, but
Patrick, why don't you just kind of give an overview for those that aren't?
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Like, what's the purpose?
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Who's the audience?
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What kind of speakers do you have?
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How long is it?
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All that sort of stuff.
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Yeah, yeah, the basics.
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Yeah, so we're going into our third year.
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So we started in 2023.
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We had a great first year.
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sold out, which we were very happy about because I was very nervous to spin up my own
conference.
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But yeah, we did great the first and second year.
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We grew from the first year to about 230 attendees and sold out last year.
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And this year, we're headed for another sellout, I think.
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which is gonna be great, a brand new venue.
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But the gist of the conference is in some ways it's a um tribute to what Kevin had done
for many, years at ArcKM.
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It's a two day event similar to ArcKM uh bringing together all the leaders in knowledge
management and innovation.
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Of course we sort of tacked down the innovation aspect of it, right?
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So it's not just ArcKM.
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This is knowledge management and innovation for legal.
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you know, I think that's, I know it was intentional, but I think it was a good idea
because a lot of the knowledge management folks in the last, I don't know, 10 or so years
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have started to, um you know, sort of do double, double time, double work in innovation,
right?
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And I know you've done some research on this topic, Ted.
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You, you've analyzed the
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the rise of the innovation professional in law firms.
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And there's been a great increase in the number of people with innovation in their title.
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And, you know, I don't know if we predicted it or if we reacted to it, maybe a little bit
of both, but because knowledge management and innovation folks tend to uh gather together
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and sort of uh some do both of the uh types of work that each other does.
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Sometimes it's the same leader, right?
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We often see
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chief knowledge and innovation officer as the head of innovation and knowledge management
at law firms.
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So we combined those concepts.
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It's very much a peer driven uh event.
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Again, two days in New York City.
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It's October 22, 23 this year.
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And it's all about the community.
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speaking of which, one of the things that's very important to us about that community is
that there's
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As we like to say, there's no second class citizens.
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We really recognize that everybody, uh sponsors, vendors, law firm folks, in-house folks,
we're all members of this community and we treat everybody uh equally at the event because
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we realize that collaboration and cooperation among all members of that community is very
important to success in all respects.
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So we can get into some of the details of
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some of the sessions.
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uh You've been to it ever since it started, so you know the vibe and the sort of uh way we
do things, but happy to sort of expound on any of those things.
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And of course, this year we're co-locating it with our new event, which I know we'll talk
about in a little bit as well.
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Yeah.
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Well, you know, it's interesting about treating everyone as equals.
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The reality is there's a significant amount of cross pollination between those worlds,
especially law firm and vendor.
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I mean, you see people move from the law firm side to the vendor side, then back.
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You know, you have people who are long time vendors.
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Glenn Laforce is a good example.
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Um, you know, he was the global head of sales at Handshake.
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Now he's the
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He was, he was in a KM role at Sherman, now CKIO at Holland and Knight.
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So yeah, these, these, it's these uh constituencies are fluid and they, they, and they
move back and forth.
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Kevin, you want to maybe give us a little overview of Legal Tech Connect and what, the
goals and objectives are there.
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Yeah, yeah, as Patrick mentioned, The KM &I event is very much peer-to-peer, law firm
peer-to-peer in terms of the content.
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And it's uh largely about what's happening within law firms and within KM and innovation
departments.
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think an easy way to describe LegalTech Connect is it's kind of the inverse.
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It's kind of the external.
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It's looking at uh market forces, the regulatory environment, and of course, product
innovation.
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So it's
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the spotlight is expressly on the product developers, the solution providers, uh their
origin stories, what they're solving for.
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So I think it'll be a fascinating uh thread of discussion around what's driving
innovation.
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And I think it kind of opens the aperture up a little bit to have a really dynamic and
broad view of the market and kind of the market pressures kind of.
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hitting law firms from all angles really, in a competitive sense.
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um So it's really a broad view of emerging trends, the regulatory environment, and then
again, that innovation theme on the development side.
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So I think it brings together cohorts that aren't normally typically in the same room at
the same time.
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One of those being the investment community, which a tip of the hat to TLTF uh for tapping
into that energy.
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And they've got one of...
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you know, the preeminent events in the industry.
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And we thought, you know what, that makes a lot of sense to open the door to that
community as well.
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So uh it should be a very lively couple of days.
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you know, you mentioned cross-pollination.
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I think that will be kind of the magic, uh particularly on the networking side, which will
all be completely cross-pollinated, if you will.
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Yeah, I've been, um I didn't go the first year to TLTF, but I've been, they started around
the same time you did um with KM &I, Patrick.
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was 2022.
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that's right.
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might have started.
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Are they in their fourth year?
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Is this their fourth year this coming?
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Yeah.
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Yeah, this is our third for Cam and I, so it must have been a year before.
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Although I think they started during the pandemic.
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I'm not sure.
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I only went for the first time last year.
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Okay, right, right.
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pandemic.
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think their first conference was in 2022 because it hit my radar late.
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I didn't make it to the first one, but I've been to the two since then and I'm going again
this, this year.
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Yeah.
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And they do a great job.
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Um, it is, uh, it's an interesting mix of, you know, law firm stakeholders, investors,
founders.
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Um, they have some thought leaders.
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There were some academics there last year.
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as well, which again, interesting kind of mix.
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So is there, is this a cross access event?
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mean, do people from the buy a Cayman iTicket automatically get access to the LTC content
or vice versa or those separate SKUs?
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Yeah, they're separate.
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Technically, they're separate conferences.
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I mean, not technically, actually, and technically, they are separate conferences.
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And by the way, you know, we were saying Legal Tech Connect, but Legal Tech Connect is the
organization that Kevin and I founded.
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And the event is called Innovators and Investors.
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We just call it LTC for short because it's our first event.
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Of course, we'll have more events under the under the LTC umbrella.
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But the Innovators and Investors event.
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Yeah, it's a separate.
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conference, we found this beautiful space in New York City.
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It's called Ease Hospitality and it's right at it's on third Avenue at 40th Street.
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And, you know, a little bit sort of a opportunistic thing in some ways uh because I've
been wanting to do additional events and been wanting to partner with Kevin for a long
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time.
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And when we found this new venue, it's so big and beautiful.
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There's such great space there.
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We're definitely going to do KMNI there.
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And then we realized there's all this additional space.
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We might be able to do this co-located event and bring together these communities because
there's so much overlap with them.
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So yes, they're separate conferences, but it's almost thinking about it as separate tracks
of the same conference, if you will.
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But they are two separate tickets.
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So in the largest room, there'll be the
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the KMNI room holds about 200, 220 people.
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uh And then the second largest room will be the Legal Tech Connect uh content.
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There's another room that's gonna be sort of an overflow room.
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But those two events will have content in those rooms simultaneously ah and they are
separate tickets.
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Now you can get crossover tickets if you want.
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think...
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We estimate that there'll be about 10 to 15 % of the total crowd in both events that want
a crossover ticket because, you know, some people like me, right?
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I was a CKO, I'm also an investor, I do lots of different things and I think there's a
good number of folks that have that diversity of interest.
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Plus there's quite frankly just a lot of great content and you know Ted, cause you're on
one of these panels, you're moderating one of these panels.
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So I think there's gonna be great interest.
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In both events, the challenge with that, course, is physics.
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You can't be in two places at once, but some people will have those crossover tickets and
want to pop in and out of the two sessions.
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But to Kevin's point, I think one of the best things about this is that all of the other
activities, the networking, the breakfast, lunch, coffee breaks, networking parties, all
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of that stuff over the two days, I think it's about eight hours of networking.
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is combined, right?
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So the content is simultaneously going on and then the networking is simultaneously going
on to bring everybody together.
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So we're talking like 330 people or so um all networking together between and among
themselves.
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So super excited about that aspect of it.
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Yeah, as far as the name goes, people are still going to call you LTC, the event LTC, just
like they do Ilta.
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Like people don't a lot of times they don't say Ilta con I'm going to Ilta or they don't
say TLTF summit.
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They say I'm going to TLTF.
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So it's just yeah, there's worse things that could happen.
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Yeah.
223
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Exactly.
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So capital startups, AI, regulatory change, what, you talked a little bit about it, but
maybe you can drill into high level themes of the content in terms of how are you bringing
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all that together?
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Are there going to be some sessions that are investor focused?
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Are there some sessions that are going to be founder focused?
228
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Is there a lot of kind of blending in?
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on the agenda, what does that look like?
230
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Yeah, great question.
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uh I'll give you the short answer and then Kevin, if you want to expound on some of it.
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At LTC, there's basically three groupings, if you will, of content.
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The first grouping of content is for the investors and for the buyers.
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These are what we're calling solutions showcase stages, right?
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It's kind like a startup stage where uh startups and even some uh more mature companies
236
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get an opportunity to do a five minute pitch on stage, right?
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So telling the investors in the room and the buyers in the room what they're all about.
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Are they seeking funding for a new round?
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Are they seeking new customers?
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Do they just want to get their oh products and services out there in front of more people?
241
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So there'll be at least two stages, two solutions showcase stages.
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So that's one of the groups of content on that stage.
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The second group of content is
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Kind of what it's kind of advice to legal tech startups, right?
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There's sort of mentor panels and, and, um, founders journeys and these types of things.
246
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So we have folks like Haley Altman from Laterra, right?
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Who has, you know, her company docs that was acquired and then she was involved in lots of
acquisitions and other folks like her, uh, Peter Oselin and others who are going to, uh,
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basically be, you know,
249
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temporary mentors to these.
250
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In fact, one of our panels is called the Mentors Panel.
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Advising legal tech startups, and there's a lot of them out there as we know, a lot of new
ones, what it's all about to do this from soup to nuts, right?
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From founding to exit and give lots of great uh advice about that.
253
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And then the third grouping of content at Legal Tech Connect is, I would say it's just
sort of general legal technology sessions.
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What's new in AI?
255
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uh
256
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what's going on, what's the latest, what's important, what needs to be on your radar,
these types of things.
257
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uh So, and it's a nice balance of that type of content, I think.
258
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uh Happy to drill down into any of the areas.
259
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Kevin, I don't know if you want to expound on some of the more interesting sessions.
260
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uh Yeah.
261
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I think high level, think bringing the two events together kind of tells a broader story
about what's happening in legal innovation.
262
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um I don't think it's really incremental, if that's the right word to use.
263
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I think there's market level shifts happening um that require more alignment across
builders, buyers and funders.
264
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I think, you know, I think that's kind of the high level story.
265
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I think there's this gravitational pull.
266
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It's much wider, right?
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Investment capital flowing in.
268
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All of these startups that are solving, oftentimes very discreet uh challenges or
exploring opportunities and shifting client expectations, that's certainly part of the
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story.
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We mentioned regulatory change.
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So all of these things are happening, uh impacting and reshaping this ecosystem.
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So I think from a high level, I think it does tell a really compelling story.
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uh
274
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again, the access piece and who will be in which room.
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As Patrick said, there are distinct physical limitations there.
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In fact, the Legal Tech Connect room is a bit smaller than the KM &I room.
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We're going to feel this out and see exactly where it's like water finding its level.
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I know there will be a lot of interest oh looking in both directions, but we hope to
accommodate.
279
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uh
280
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those desires the best we can.
281
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But yeah, we're excited about this.
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think it's a very comprehensive look at market snapshot, uh which relative to the work
I've done, it's a really, like I said, casting a very wide uh lens on the marketplace.
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You know, it's going to be, there are going to be some interesting conversations now um
about, especially on the investor side and on the founder side, there is, I don't know
284
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anybody who disagrees with that we are frothy right now in terms of uh valuations, capital
influx into the market, number of startups that are being stood up that maybe
285
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You know, don't have a complete vision.
286
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Um, and you know, it's driving interesting dynamics that are exciting and a little
concerning at the same time, you know, cause I, we all know how the story ends.
287
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all three of us are old enough to have seen a few cycles, economic cycles in our day.
288
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And I think what, you know, this, where we're at today, I don't know if you guys would
disagree.
289
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Where we're at today feels a lot like the dot com era.
290
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So, you know, in the late nineties, there was all of this money coming in to, you know,
dot coms that sometimes had no revenue, sometimes had a fairly thrown together business
291
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plan, yet they were acquiring funding.
292
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And that ended in a big correction.
293
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Um, and I think we're, we're, we're, we're, we're headed in that direction as well.
294
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But what's, I think what is a parallel between then and now is the underlying assumptions
that, you know, e-commerce was going to be a massive force and completely disrupt the
295
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retail economy.
296
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We're true.
297
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And just like with AI, you know, the transformational power.
298
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of AI is undeniable.
299
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But as irrational exuberance starts to gain traction, people think they can throw money in
any direction and have a successful outcome.
300
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And that's just not the case.
301
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um I'm um actually relieved.
302
00:23:27,952 --> 00:23:32,333
So InfoDash, for those that don't know, is an intranet extranet platform.
303
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And I consider us AI adjacent.
304
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You guys might not even really know this about us, but we have something called
Integration Hub that we've had this product for years.
305
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We've never named it.
306
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We used to call it the Info-API, but it's essentially a middle tier that we deploy in a
client's Azure tenant that has tentacles into all of their back office systems that is
307
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security trimmed and respects ethical wall boundaries.
308
00:23:59,343 --> 00:24:05,223
And what's interesting about that, we, to be perfectly honest, didn't see this coming.
309
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the need for this, but what it does is it enables law firms to tap into their line of
business data using all of Microsoft's Lego blocks like Azure AI search, Azure open AI,
310
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co-pilot, power automate, power apps.
311
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It creates a, a mechanism for the, for them to tap into their data.
312
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And I don't know how you guys see things in the future, but how I see them.
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is data, know, firms have historically differentiated themselves through brand that's
largely been driven by people and outcomes.
314
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And that's still going to be very important, but there's a new component to the equation,
which is what data do you have access to and how can you leverage it in your legal
315
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workflows to build better work product, to advise clients.
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Um, more effectively and we kind of, we're, AI adjacent, right?
317
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We're not, I'm, and I'm glad because I feel like when the train comes and like, I'm
standing to the side, we'll, we will get impacted if there's a big correction, but not
318
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nearly, you know, all these companies that are, you know, thin wrappers on AI platforms.
319
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Um, I don't know.
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Do you guys see the market?
321
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as frothy as I do or do you have a different perspective?
322
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think that's a tough one.
323
00:25:38,159 --> 00:25:44,581
think there are strong parallels to the dot com era and the AI era, if you will.
324
00:25:44,901 --> 00:25:53,043
But I think, and this is what popped into my mind, Ted, we've been talking about the
unbundling of services for a long time in legal, right?
325
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And then you see these, what they're being described as these AI native law firms like
Crosby and Covenant, if you're familiar with these, that do very specific things
326
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leveraging
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automation and AI.
328
00:26:08,598 --> 00:26:13,700
um And they almost look and have a look and feel of like a ALSP, right?
329
00:26:13,700 --> 00:26:18,281
um But they're law firms doing legal work with lawyers.
330
00:26:18,281 --> 00:26:34,406
uh But again, I feel like it's part of that unbundling concept where you can leverage the
tech to do discrete tasks really effectively, really efficiently to a different price
331
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point.
332
00:26:35,206 --> 00:26:42,151
I think there are some distinctions between where we are now uh relative to the dot com
boom and bust.
333
00:26:42,612 --> 00:26:50,599
And clearly the dawn of the internet changed the business landscape from that point
forward.
334
00:26:50,599 --> 00:26:55,563
uh AI is probably most certainly going to do the same thing.
335
00:26:55,563 --> 00:26:57,805
We're not sure at what speed and velocity.
336
00:26:57,805 --> 00:27:04,478
um do you see, particularly on the transactional side, AI
337
00:27:04,762 --> 00:27:13,452
furthering that unbundling of legal service delivery and kind of putting them in really
specific buckets, if you will.
338
00:27:13,667 --> 00:27:15,668
Yeah, that's a great question.
339
00:27:15,668 --> 00:27:17,648
I think the answer is yes.
340
00:27:18,128 --> 00:27:29,652
know, due diligence is a great example of uh a piece of that value chain that is subject
to a high degree, very high degree of automation.
341
00:27:29,652 --> 00:27:40,755
you know, something, tasks that took, you know, a room full of junior associates pouring
through mountains of documents over weeks.
342
00:27:40,912 --> 00:27:46,052
of time can now be done in days through AI.
343
00:27:46,532 --> 00:28:02,852
So I think that we are absolutely going to see an unbundling and it may be kind of a
decomposition and then a recomposition of, you know, the providers that like it doesn't,
344
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you know, especially on a transaction, it's unlikely that you're going to go.
345
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to one place for your due diligence and somewhere else to draft up your stock purchase
agreements.
346
00:28:14,952 --> 00:28:26,061
um But I think that uh these big law firms that, especially in the transactional world,
where pedigree is such an important aspect of the
347
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the whole process, like when you're on the other side of the table and you see, you know,
Gunderson or Cooley or Wilson Sincini or Goodwin or, you know, one of these big reputable
348
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firms that have a ton of experience on the other side of the table, it changes your
negotiation strategy, right?
349
00:28:43,761 --> 00:28:47,533
Um, versus somebody who's not well represented.
350
00:28:47,533 --> 00:28:50,845
Um, so that stuff is still going to matter.
351
00:28:50,845 --> 00:28:55,767
It's not like people are not going to go to one of these firms to get the work done.
352
00:28:55,801 --> 00:29:10,048
But I think these big firms are going to have to think very carefully about their process
and figure out how to incorporate automation or they're gonna lose work to the firms that
353
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do.
354
00:29:11,189 --> 00:29:13,231
That's what seems to make sense to me.
355
00:29:14,042 --> 00:29:14,782
Yeah.
356
00:29:14,782 --> 00:29:17,162
I think there's a couple of things at play.
357
00:29:17,302 --> 00:29:28,682
First of all, your point about content and data being very important as opposed to, you
know, also important, but as opposed to just resting on the laurels of the reputation and
358
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brand and pedigree of the firm and the lawyers who are there.
359
00:29:32,542 --> 00:29:34,302
I think that's true.
360
00:29:34,302 --> 00:29:37,262
Those things will continue to be important.
361
00:29:38,462 --> 00:29:41,761
Good lawyers are, you you need good lawyers to do good.
362
00:29:41,761 --> 00:29:44,453
legal work.
363
00:29:45,134 --> 00:29:51,859
But I think your point underscores the importance, quite frankly, of knowledge management.
364
00:29:51,859 --> 00:29:58,064
uh This is what we've been, you know, the bell we've been ringing for years and years and
years.
365
00:29:58,064 --> 00:30:11,894
uh The firm, the firm, the, you know, firms, the firm has created content for years and
years and years, millions of documents, you know, millions of pieces of content.
366
00:30:11,950 --> 00:30:21,330
that is codified into documents, saved into some platform, DMS or other.
367
00:30:23,030 --> 00:30:30,190
And what has happened with, and I'll just call them modern technologies, because it's not
all AI.
368
00:30:30,190 --> 00:30:37,250
We're calling all of this new stuff AI, and it's almost meaningless to use that term
already.
369
00:30:37,650 --> 00:30:40,590
I think what most people mean by it is,
370
00:30:41,064 --> 00:30:43,005
modern technologies, right?
371
00:30:43,005 --> 00:30:45,435
Like search tools are not AI, right?
372
00:30:45,435 --> 00:30:49,867
uh Generative AI is a different type of AI than expert systems.
373
00:30:49,867 --> 00:30:55,118
So I think we need to be more precise in a lot of this stuff, but I'll get off that high
horse for a second.
374
00:30:55,218 --> 00:31:08,822
The benefit of all of this, the awareness, the hype, whether it's the market hype or not,
but the hype, the fact that, you know, AI is in every newscast out there, every, you know,
375
00:31:08,822 --> 00:31:09,612
every
376
00:31:10,220 --> 00:31:14,190
discussion about business now includes a discussion about AI.
377
00:31:14,190 --> 00:31:31,556
I think that helps those of us who are trying to promote knowledge management because it
goes to the point that it's important that we leverage the firm's collective knowledge and
378
00:31:31,556 --> 00:31:33,436
wisdom and experience.
379
00:31:33,436 --> 00:31:40,258
And you cannot do that unless you're able to unearth it and access it and share it.
380
00:31:40,331 --> 00:31:43,112
and get it around to the others at the firm.
381
00:31:43,672 --> 00:31:46,273
There's so much oil, right?
382
00:31:46,273 --> 00:31:47,974
Data, the new oil.
383
00:31:48,213 --> 00:31:52,276
There's so much great information at all of these firms.
384
00:31:52,276 --> 00:31:57,768
It's just the accessibility of it has been a huge problem for many, many years.
385
00:31:57,768 --> 00:32:09,542
And to your point about your platform, Ted, the fact that you can tap into other systems
and bring them into an interface that is useful and easy to access,
386
00:32:09,682 --> 00:32:12,744
and is uh intuitive.
387
00:32:12,984 --> 00:32:18,707
This is really where it's at because again, that content has always been there.
388
00:32:18,808 --> 00:32:29,474
And sometimes you have PSLs or practice support lawyers or knowledge management attorneys
or whatever we're calling our folks nowadays, know, sort of manually do some of that work
389
00:32:29,474 --> 00:32:35,908
to, to, to rise it to that, raise it to the top, et cetera.
390
00:32:35,908 --> 00:32:36,332
But
391
00:32:36,332 --> 00:32:47,165
you know, tools like yours and others are really effective in surfacing that gold that has
in many organizations been untapped for many, many years.
392
00:32:47,526 --> 00:33:00,460
so those, those organizations that focus on that and appreciate that and understand that
they're sitting on a gold mine or a oil field or whatever analogy we want to use.
393
00:33:00,618 --> 00:33:08,545
and all they have to do is take the steps to expose it and make it accessible, they're
going to win.
394
00:33:08,545 --> 00:33:21,035
um Whether that's AI or whether that's just automation or whether that's just good
business practices or processes and getting the right people in the right spots, this is
395
00:33:21,035 --> 00:33:23,097
what I love about what's going on now.
396
00:33:23,097 --> 00:33:29,706
Whether or not we're in a bubble, I have some thoughts about that too, but I'm thankful
that this is
397
00:33:29,706 --> 00:33:35,929
shining a light on the, as I like to say, old problems, new tools, right?
398
00:33:36,009 --> 00:33:37,849
It's the same problems, right?
399
00:33:37,849 --> 00:33:39,952
It's accessibility and everything else.
400
00:33:39,952 --> 00:33:45,975
We just have more powerful tools now that enable us to get that work done.
401
00:33:45,975 --> 00:33:54,459
So I'm excited about it, even if it might be a financial bubble or over investment bubble
or these types of things.
402
00:33:54,459 --> 00:33:59,732
There are going to be some of these companies that don't survive, but many will, and I
think many will do well.
403
00:34:00,442 --> 00:34:04,392
You know, no, no, go ahead, Kevin.
404
00:34:04,624 --> 00:34:09,945
I was just gonna say a lot of what Patrick was alluding to strikes me as information
architecture.
405
00:34:10,286 --> 00:34:18,429
And uh arguably perhaps law firms were a little late to the game in terms of focusing on
information architecture.
406
00:34:18,529 --> 00:34:20,850
I think AI clearly lit that fire.
407
00:34:20,850 --> 00:34:28,253
ah But there were a number of firms uh building toward this moment for a decade or more.
408
00:34:28,253 --> 00:34:30,314
um But I think that's.
409
00:34:30,564 --> 00:34:39,785
That's really the challenge on the data side is having systems that can speak to one
another and findability, usability, right?
410
00:34:39,906 --> 00:34:44,531
That's IA before AI, if you will.
411
00:34:45,954 --> 00:34:46,754
Yeah.
412
00:34:46,861 --> 00:34:53,435
know, and we are positioned in an interesting spot on that kind of data landscape.
413
00:34:53,435 --> 00:34:58,388
know, InfoDash, the name comes from, we're DoorDash for your data.
414
00:34:58,749 --> 00:35:03,012
And, you know, we kind of deliver it when you want, where you want.
415
00:35:03,012 --> 00:35:13,219
We've chosen intranets and extranets as kind of the single pane of glass to view these
disparate data sources in a coherent and consolidated way.
416
00:35:13,293 --> 00:35:22,272
But the reality is that that data orchestration layer has a lot of value in the in the AI
scenario too.
417
00:35:22,353 --> 00:35:23,704
So let me ask you guys a question.
418
00:35:23,704 --> 00:35:28,469
Do you do you guys know the average length of a bull market?
419
00:35:32,258 --> 00:35:33,339
not sure.
420
00:35:34,118 --> 00:35:35,376
10 years?
421
00:35:35,376 --> 00:35:41,916
five, and that's the optimistic, that is the optimistic, there's lots of different ways to
measure.
422
00:35:42,756 --> 00:35:45,616
So yeah, five is the average.
423
00:35:46,056 --> 00:35:50,136
Do you know the longest bull market to ever run?
424
00:35:50,136 --> 00:35:51,916
How long it was and when?
425
00:35:54,756 --> 00:35:57,962
You're in it, you're in it, yeah.
426
00:35:57,962 --> 00:35:59,088
That'd be mine.
427
00:35:59,088 --> 00:36:03,488
Yeah, so tend to well, and there's also a debate about this as well.
428
00:36:04,068 --> 00:36:21,428
So 2010 to 2022 during COVID, hard to say that the 30 or 40 % market drop in COVID is
still in scope for the bull market definition, but we so quickly recovered from that.
429
00:36:21,428 --> 00:36:23,208
That wasn't a normal cycle.
430
00:36:23,208 --> 00:36:28,110
So I consider that we are still in the 2010 bull market 15 years.
431
00:36:28,110 --> 00:36:28,955
Hmm.
432
00:36:28,955 --> 00:36:36,179
Um, you know, because essentially it's, is, and what it tells you is that we're overdue.
433
00:36:36,319 --> 00:36:38,871
We're overdue for correction.
434
00:36:38,871 --> 00:36:44,163
these things are natural cycles, like, you know, kind of like the Gartner hype cycle.
435
00:36:44,324 --> 00:36:51,267
And, um, you know, from an investment perspective, there's so much, I keep a spreadsheet
of VCs that reach out to us.
436
00:36:51,267 --> 00:36:57,975
In fact, I shared it with you, um, that it it's longer than the last time I sent it to you
a week ago.
437
00:36:57,975 --> 00:37:07,127
Like I get hit up just so we started recording the spreadsheet maybe six weeks before
Ilta.
438
00:37:07,127 --> 00:37:10,939
So it's been three months tops, maybe less.
439
00:37:10,939 --> 00:37:14,039
And I've got 26 VCs in there.
440
00:37:14,179 --> 00:37:15,860
When you have that number.
441
00:37:15,860 --> 00:37:21,351
So these I'm looking at signals in the market like, all right, what signals can we look at
to tell us we're in a bubble?
442
00:37:21,351 --> 00:37:27,143
All right, we've got capital out there chasing opportunities, uber aggressively.
443
00:37:27,143 --> 00:37:28,193
We've got
444
00:37:28,193 --> 00:37:34,686
Meta spending 250 million dollars as signing bonus bonuses to hire resources.
445
00:37:34,686 --> 00:37:50,743
We've got 100x or sometimes, you know, valuations for companies that don't even have
revenue or a bit even sometimes it's a public um business plan as to what they're going to
446
00:37:50,743 --> 00:37:51,173
do.
447
00:37:51,173 --> 00:37:55,375
um And then, you know, it almost feels like we're heading
448
00:37:55,408 --> 00:37:58,921
You know, there's some parallels to the NFT market back in the day.
449
00:37:58,921 --> 00:38:00,552
Remember the board apes?
450
00:38:02,634 --> 00:38:06,857
and what crazy numbers, like hundreds of thousands of dollars for these NFTs.
451
00:38:06,857 --> 00:38:14,043
Now the difference is that was a bunch of nonsense and there were solving real world
business problems.
452
00:38:14,043 --> 00:38:19,697
There's real applications of the blockchain, but NFTs, I don't know your feelings on them.
453
00:38:19,697 --> 00:38:24,559
Uh, there was so much, there was more hype than really fundamental value there.
454
00:38:24,559 --> 00:38:36,559
I think that's different with this and it's going to be interesting to see the
perspectives of, you know, the investor community and, um, you know, your founder
455
00:38:36,559 --> 00:38:45,819
community that are, you you have to make decisions as a founder of a startup, like, Hey,
do I accept this loft evaluation that I can get a big amount of money for a little bit of
456
00:38:45,819 --> 00:38:46,159
dilution?
457
00:38:46,159 --> 00:38:47,839
That's very attractive.
458
00:38:47,879 --> 00:38:54,399
The debt, the downside of that is if you don't deliver on expectations because maybe we
have some turbulence.
459
00:38:54,615 --> 00:39:02,300
or the market is over saturated and you can't deliver on expectations, you're going to
have a down round, which is very, very bad.
460
00:39:02,300 --> 00:39:11,247
There's all sorts of provisions that are tied to that money that you accepted that have
really bad consequences for you as a founder when that happens.
461
00:39:11,247 --> 00:39:21,684
So you guys bringing this audience together right now, I think is super interesting
because I can't wait to just read the room and have some side conversations and you know,
462
00:39:21,684 --> 00:39:23,811
from founders and from investors like
463
00:39:23,811 --> 00:39:25,233
Hey, how are you guys thinking about this?
464
00:39:25,233 --> 00:39:32,224
Like you're coming in at 12, 14 X revenue on a startup that's in a crowded space and lots
of uncertainty.
465
00:39:32,224 --> 00:39:39,425
Um, but I, I, I would imagine Patrick, that's the goal is to like have these
conversations.
466
00:39:39,939 --> 00:39:41,240
Yeah, absolutely.
467
00:39:41,240 --> 00:39:41,730
Absolutely.
468
00:39:41,730 --> 00:39:46,461
And to your point, it's going to be such a nice mix of folks in the room, right?
469
00:39:46,461 --> 00:39:56,245
The investors who are, you know, trying to get a piece of these legal tech companies, the
legal tech companies that are, you know, trying to figure it all out.
470
00:39:56,245 --> 00:39:56,665
Right.
471
00:39:56,665 --> 00:40:04,468
And that's why I love that we have a lot of these experienced folks who have been through
it and could give those legal tech companies some advice.
472
00:40:04,468 --> 00:40:06,549
And then the buyers in the room as well.
473
00:40:06,549 --> 00:40:08,599
And, you know, I
474
00:40:09,100 --> 00:40:25,260
I'm kind of glad I'm not at a law firm anymore because, ah you know, trying to schedule,
hear this among my friends who are former peers in positions that I used to occupy, just
475
00:40:25,260 --> 00:40:31,563
trying to keep up with the vendors and see the demos and not miss anything.
476
00:40:31,563 --> 00:40:35,918
And then of course, it's compounded by the fact that the
477
00:40:35,918 --> 00:40:42,180
partners at the firm are seeing this stuff in regular sort of the course of their day.
478
00:40:42,340 --> 00:40:47,121
Sometimes clients come to them and say, hey, would you take a look at our stuff?
479
00:40:47,121 --> 00:40:58,424
But now you've got the additional, this used to be a little bit of a problem, but a lot
more these partners are coming to the KM and innovation folks and saying, have we looked
480
00:40:58,424 --> 00:40:59,364
at this tool?
481
00:40:59,364 --> 00:41:00,475
Have we looked at that tool?
482
00:41:00,475 --> 00:41:02,195
And if it happens once in a while, it's fine.
483
00:41:02,195 --> 00:41:05,302
And sometimes you learn about something new, but
484
00:41:05,302 --> 00:41:13,869
what I'm hearing is it's happening multiple times a week from multiple partners and it
just adds and you can't say, know, well, we're not going look at that one.
485
00:41:13,869 --> 00:41:21,996
You know, you say, yes, we'll absolutely add it to the list and we'll get back to you and
give you our assessment.
486
00:41:21,996 --> 00:41:30,703
But, you know, some firms have full time uh AI assessors in terms of like assessing tool,
new tools.
487
00:41:30,963 --> 00:41:34,516
And that's just a job that never existed.
488
00:41:34,567 --> 00:41:35,468
when I was doing it.
489
00:41:35,468 --> 00:41:41,973
um So yeah, it's hard on everybody, but there's a lot of opportunities to your point as
well.
490
00:41:41,973 --> 00:41:52,442
And I think there's gonna be some big winners and I think there's gonna be a lot that just
sort of fall off and try something else, but it'll be interesting.
491
00:41:52,442 --> 00:41:56,425
But to your point earlier, I think we've been through this as well, even within legal,
right?
492
00:41:56,425 --> 00:41:58,827
Think about the early e-discovery days, right?
493
00:41:58,827 --> 00:42:03,246
In the early 2000s, there were so many companies trying to get
494
00:42:03,246 --> 00:42:06,229
piece of that action, because it was so lucrative.
495
00:42:06,229 --> 00:42:11,994
And that market has sort of uh consolidated and settled down.
496
00:42:11,994 --> 00:42:16,468
And there's some leaders, and there's some niche players as well.
497
00:42:16,468 --> 00:42:20,722
I suspect that'll happen uh with legal AI.
498
00:42:20,722 --> 00:42:23,146
uh And that's a good thing.
499
00:42:23,146 --> 00:42:25,546
I don't think this is sustainable.
500
00:42:25,546 --> 00:42:29,740
I don't think anybody wants it to continue like it is now.
501
00:42:30,466 --> 00:42:40,826
I think everybody wants it to calm down a little bit and let the, you know, the best stuff
rise to the top and let the mediocrity, you know, fade away.
502
00:42:40,826 --> 00:42:42,342
I think that's a good thing.
503
00:42:42,342 --> 00:42:44,742
Do you actually see things calming down?
504
00:42:44,742 --> 00:42:49,462
Maybe from a new product entrant perspective, things will calm down.
505
00:42:49,462 --> 00:42:56,382
But in terms of implications on a law firm business model, I don't see that calming down
anytime soon.
506
00:42:56,682 --> 00:42:59,221
I'd see that getting more complicated.
507
00:42:59,702 --> 00:43:02,042
I think we're just at the front end of that personally.
508
00:43:02,211 --> 00:43:09,838
Well, with money pushing so aggressively into the space, it's going to continue until that
dries up.
509
00:43:09,838 --> 00:43:14,282
Once the capital dries up, there will be less fuel.
510
00:43:14,282 --> 00:43:20,387
There'll be less dry powder for these startups to leverage, to create their wares.
511
00:43:20,387 --> 00:43:24,041
um mean, look at the Harvey situation.
512
00:43:24,041 --> 00:43:27,023
So Harvey raised, I think they did two rounds.
513
00:43:27,023 --> 00:43:29,165
I don't remember which rounds they were.
514
00:43:29,171 --> 00:43:35,317
One was at a $3 billion valuation and three or four months later, it was at a $5 billion
valuation.
515
00:43:35,378 --> 00:43:36,459
Now, okay.
516
00:43:36,459 --> 00:43:37,760
You might say, great.
517
00:43:37,760 --> 00:43:44,747
If you were early in on Harvey, man, I, know, and no shade to Harvey, like they're doing
great.
518
00:43:44,747 --> 00:43:52,112
Um, Ligora is doing great, but if I'm an investor, I'm looking at that and going, I don't
want any.
519
00:43:52,112 --> 00:43:52,912
piece of that.
520
00:43:52,912 --> 00:44:03,486
Like don't want to go anywhere near that because it's just the volatility like having such
a meteoric rise creates risk.
521
00:44:03,486 --> 00:44:11,630
You know how much of um and this isn't specific to Harvey but just in general with
startups like how much of your revenue is vibe revenue right?
522
00:44:11,630 --> 00:44:20,303
People trying out maybe you keep doing paid POCs and what sort of churn are you going to
experience once things stabilize?
523
00:44:20,525 --> 00:44:29,461
That those are really important questions and you know, startup valuations are driven by
on revenue, multiples of revenue.
524
00:44:29,461 --> 00:44:39,017
And it's like your company is being valued based on this revenue that, is probably a good
significant chunk of it's going to churn when things stabilize.
525
00:44:39,017 --> 00:44:45,911
So that, whole situation makes me nervous, just as a player in the space, like it's
getting risky.
526
00:44:46,892 --> 00:44:47,983
Yeah, for sure.
527
00:44:47,983 --> 00:44:59,139
And you know, we've always said even, even the largest law firms are relatively small
businesses and those who, you know, cater to them, you could do very, very well, of
528
00:44:59,139 --> 00:45:06,173
course, um, being a focused on legal tech or whatever niche you might be focused on.
529
00:45:06,173 --> 00:45:16,094
But when you're talking really large numbers, when you're talking multiple billions, these
are the types of numbers that, sort of
530
00:45:16,094 --> 00:45:23,668
larger, uh broader, uh non-niche companies usually go for, right?
531
00:45:23,668 --> 00:45:36,375
You know, if you're selling to Walmart or, you know, Walmart's the biggest, it's maybe,
maybe not a great example, but if you're selling to, you know, IBM, Oracle, selling to
532
00:45:36,375 --> 00:45:39,787
Apple, these companies have hundreds of thousands of employees.
533
00:45:39,787 --> 00:45:41,548
The largest law firm has what?
534
00:45:41,548 --> 00:45:44,019
I don't know, 14,000 employees, something like that.
535
00:45:44,019 --> 00:45:45,231
And then it drops off
536
00:45:45,231 --> 00:45:46,392
pretty quickly from there.
537
00:45:46,392 --> 00:45:51,075
uh So even large law firms are relatively small businesses.
538
00:45:51,075 --> 00:46:00,000
So if you're selling into the legal world, into law firms, there's only so many seats you
can sell to.
539
00:46:00,040 --> 00:46:05,364
And of course, some smart companies have broadened their targets.
540
00:46:05,364 --> 00:46:09,326
So uh outside of legal, you expand to
541
00:46:09,738 --> 00:46:12,829
more generally professional services that do similar work.
542
00:46:12,829 --> 00:46:19,041
And then there's more TAM, more total addressable market there for you to target, which is
smart, of course.
543
00:46:19,041 --> 00:46:32,725
um But yeah, I think there's some delusion in terms of uh how big can we get, especially
if you're sort of very niche, right?
544
00:46:32,725 --> 00:46:36,456
uh But it's interesting to see.
545
00:46:36,456 --> 00:46:38,346
And what I love about
546
00:46:38,562 --> 00:46:46,921
today is, you know, there's, think more than ever, people are really trying to figure out
how to do it better, right?
547
00:46:46,921 --> 00:46:48,157
And that's what we're all about, right?
548
00:46:48,157 --> 00:46:49,514
What we've always been all about.
549
00:46:49,514 --> 00:46:51,817
How can we do this better, stronger, faster?
550
00:46:51,817 --> 00:46:57,964
And I think there's a lot of interesting, uh smart people trying to accomplish those
goals.
551
00:46:57,964 --> 00:46:59,427
So I'm excited about that.
552
00:46:59,427 --> 00:47:09,776
Yeah, well, I'm going to be um moderating your keynote panel at the Legal Tech Connect
conference.
553
00:47:09,776 --> 00:47:13,519
We're sponsors and we're going, we have a demo room.
554
00:47:13,720 --> 00:47:17,313
I can't remember which day it is, but we have a demo room one day at KMNI.
555
00:47:17,313 --> 00:47:22,187
We're going to be showing our new extranet platform, which is a high key replacement.
556
00:47:22,248 --> 00:47:26,177
We're really bullish about our opportunity in that space.
557
00:47:26,177 --> 00:47:31,953
Nothing has really changed in the legal extranet space in honestly more than 10 years.
558
00:47:31,953 --> 00:47:46,419
um And we are really doing it differently by again enabling the firms to surface data and
um make it client facing in some really interesting ways and then a whole bunch of client
559
00:47:46,419 --> 00:47:47,950
facing AI stuff.
560
00:47:48,324 --> 00:47:52,786
For those that come, we'll be showing that solution off.
561
00:47:52,786 --> 00:47:54,717
Kevin, how do people find out more?
562
00:47:54,717 --> 00:47:56,448
Because we're wrapping up here.
563
00:47:56,948 --> 00:48:03,371
Before we do, I want you guys to tell people how to find out more about LTC and the KM &I
Summit.
564
00:48:04,964 --> 00:48:08,677
Yeah, well, we've got uh obviously a landing page for each.
565
00:48:08,677 --> 00:48:10,419
uh What is it?
566
00:48:10,419 --> 00:48:18,986
KMNIforlegal.com, uh which will provide links to LegalTechConnect, which
LegalTechConnect.com.
567
00:48:18,986 --> 00:48:23,430
uh There's information about both events uh on both websites.
568
00:48:23,430 --> 00:48:25,572
uh So check it out.
569
00:48:25,572 --> 00:48:32,228
We've just recently expanded what we've got coming into shape with respect to the agenda.
570
00:48:32,758 --> 00:48:37,641
and the speakers and the solutions showcase stage that continues to grow.
571
00:48:37,641 --> 00:48:39,412
We've just added a third segment.
572
00:48:39,412 --> 00:48:50,889
So there will be a lot of buzz, a lot of energy in a beautiful space um in October in New
York, which tends to be a great time uh to spend some time in New York City.
573
00:48:50,889 --> 00:48:52,910
So it should be a lot of fun.
574
00:48:52,910 --> 00:48:55,012
uh We're excited about it.
575
00:48:55,012 --> 00:48:58,874
So appreciate you letting us talk about it and share some details, Ted.
576
00:48:58,874 --> 00:48:59,323
Thank you.
577
00:48:59,323 --> 00:48:59,863
absolutely.
578
00:48:59,863 --> 00:49:01,783
And I'll give my stamp of approval.
579
00:49:01,783 --> 00:49:03,403
I go to a lot of conferences.
580
00:49:03,403 --> 00:49:09,863
I think this year we're doing 14 and I, and I, I do 12 of them.
581
00:49:09,863 --> 00:49:22,263
So I'm not doing, I didn't do, there was a TLTF and P P WC event in London and I let
somebody else make that transatlantic trip and then legal geek I'm missing as well.
582
00:49:22,263 --> 00:49:28,023
Matt, uh, yes, a bitch or you guys know, and Adam young are, um, are heading over there.
583
00:49:28,045 --> 00:49:30,437
That transatlantic travel is rough.
584
00:49:30,437 --> 00:49:36,129
Um, you know, doing a red, so I'll let the younger guys with more hair do.
585
00:49:36,129 --> 00:49:38,978
say you're getting too old for that stuff.
586
00:49:39,150 --> 00:49:40,701
No doubt, no doubt.
587
00:49:40,701 --> 00:49:42,802
um Well, I can vouch.
588
00:49:42,802 --> 00:49:45,983
I do a lot of events and I can vouch for Cam and I.
589
00:49:45,983 --> 00:49:47,003
It is fantastic.
590
00:49:47,003 --> 00:49:48,934
You guys, top notch food.
591
00:49:48,934 --> 00:49:51,245
It's a really nice space.
592
00:49:51,385 --> 00:49:55,587
It uh is a very class act.
593
00:49:55,587 --> 00:50:02,430
um And I've seen the agenda for LTC and the content looks incredible.
594
00:50:02,430 --> 00:50:04,831
So I'm really excited about that.
595
00:50:04,831 --> 00:50:05,651
So.
596
00:50:05,795 --> 00:50:12,547
Thank you guys for spending a few minutes with me today and I'm going to see you person in
about eight weeks.
597
00:50:13,328 --> 00:50:13,873
Sounds great.
598
00:50:13,873 --> 00:50:14,585
Thank you, Ted.
599
00:50:14,585 --> 00:50:14,997
you, Ted.
600
00:50:14,997 --> 00:50:15,731
Thanks for having us.
601
00:50:15,731 --> 00:50:16,735
We appreciate it.
602
00:50:16,735 --> 00:50:17,622
Absolutely.
603
00:50:17,622 --> 00:50:18,175
All right.
604
00:50:18,175 --> 00:50:19,032
Take care.
605
00:50:19,032 --> 00:50:19,995
See you soon.
606
00:50:19,995 --> 00:50:20,346
too.
607
00:50:20,346 --> 00:50:21,326
Thank you.
00:00:04,757
Patrick and Kevin, how are you this morning?
2
00:00:05,735 --> 00:00:06,567
Doing great.
3
00:00:06,567 --> 00:00:07,704
How are you, Ted?
4
00:00:08,383 --> 00:00:09,654
and awesome.
5
00:00:09,654 --> 00:00:10,634
This is a treat.
6
00:00:10,634 --> 00:00:14,117
I don't get to guests on the pod that often.
7
00:00:14,117 --> 00:00:23,402
So um it's exciting to we can have we have 50 % more banter, which is always fun.
8
00:00:24,303 --> 00:00:31,087
So I think you know, the audience, you guys are both pretty visible in the KM &I world.
9
00:00:31,087 --> 00:00:36,300
But for those that that don't know you, I've known you both for a really long time.
10
00:00:36,558 --> 00:00:46,258
I think maybe early 2010s, Patrick, you were CKO at OD, Ogletree Deacons, and Kevin, you
were running ArcKM back when we were sponsors.
11
00:00:47,178 --> 00:00:52,378
So a lot of history with you both, and I'm really excited about the conversation.
12
00:00:52,458 --> 00:00:57,398
We're going to talk about just events.
13
00:00:57,398 --> 00:00:58,778
We're going to talk about innovation.
14
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We're going talk about the events you guys have coming up in, God, really, what is that,
six weeks?
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Yeah.
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Eight weeks?
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But who's counting?
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Yeah.
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Yeah.
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We can hear the tick of every moment here, but yes, uh eight weeks.
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Yeah, that's of yesterday.
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And you guys have a new event coming up that we're going to talk about.
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But before we do, let's get you guys introduced.
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um Patrick, why don't you go first?
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Yeah, thanks.
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Patrick DiDomenico here.
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Hello, everybody.
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uh Let's see, where to begin.
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I used to practice law for about nine years, uh switched out of practicing in the early to
mid 2000s.
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I think it was 2005, actually, uh into knowledge management, innovation, technology, at
the firm that I practiced at, uh which is called Givens Selle Deo.
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And then...
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continued to do that type of work for the last 20 years.
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In fact, this is my 20th year, 2025 here, uh doing KM Innovation Technology, et cetera.
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uh Along the way, I did the CKO and Chief Innovation Officer jobs at various firms like
Ogletree Deacons, as you mentioned, and as a double voice in Plimpton for a couple of
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years.
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My most recent firm was Jackson Lewis, where I was the
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chief innovation officer.
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And then in, what was it, 2022?
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It's a blur at this point.
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Last few years, I went out on my own, I started consulting.
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So doing all the fun stuff that I was doing at individual firms, helping other firms do
that.
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Also in-house legal departments and legal tech companies have been advising and investing
in legal tech companies for number of years now.
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ah And then of course started the KM &I conference uh in 2023.
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And Ted, I know you are very familiar with it because you are our very first sponsor,
which we appreciate.
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And this year partnering with Kevin, who I've known for 20 of those years, um spun up
Legal Tech Connect.
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And I know we're going to be talking about that as well.
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So ah excited to be here.
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Thanks for having us, Ted.
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Yeah, absolutely.
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Kevin?
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Yeah, I think that 20 year reference um actually fits like a glove.
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I, in 2005, uh joined the core team at the ARC Group, which was known for its flagship
event, the KM Legal Conference, which initially ran in, I think, September of 2005 in
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Chicago.
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um So I spent about 17 years with ARC.
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uh So we produced
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a number of practice management events.
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We had a BI conference, a competitive intelligence conference, a long running law firm
libraries conference and community that we sort of fostered.
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yeah, Patrick and Joshua Fireman and Ron Friedman, think, you know, initially it was
Joshua and Ron that were co-chairing the KM legal conference.
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And then several years later, we moved it to New York and it was Patrick and Joshua.
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we have been working together.
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uh
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almost all of those 20 years, at least 15 of them.
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So 17 years as program director at our group, just shy of three years with inside
practice.
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And then as Patrick mentioned, more recently joined forces and something we've been
talking about for many years to actually kind of formalize our working relationship and
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collaborate and do this together.
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And it's been a lot of fun right out of the gate.
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Good stuff, man.
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Good stuff.
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Well, yeah, I mean, I'm a big fan of all the events that you both have been involved with.
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I was an ARKKM sponsor in the early days.
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um And, you know, we were a sponsor in the ARKBI event.
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I don't know if there were multiple.
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There was one in New York.
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It was really good.
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It was small, but it was really good.
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I think we presented, actually.
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ran at least eight or nine years, that BI event, which was interesting, interestingly kind
of a precursor to the AI stuff, right?
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The predictive analytics and yeah, that was, it was very finance focused, I think in
general, but that was a great event.
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And it was a little bit on the intimate.
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It was usually 50 to 80 people, you know, like a lot of the archivants were.
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Yeah.
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mean, I think probably most of our listeners are familiar with your KM &I event, but
Patrick, why don't you just kind of give an overview for those that aren't?
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Like, what's the purpose?
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Who's the audience?
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What kind of speakers do you have?
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How long is it?
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All that sort of stuff.
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Yeah, yeah, the basics.
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Yeah, so we're going into our third year.
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So we started in 2023.
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We had a great first year.
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sold out, which we were very happy about because I was very nervous to spin up my own
conference.
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But yeah, we did great the first and second year.
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We grew from the first year to about 230 attendees and sold out last year.
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And this year, we're headed for another sellout, I think.
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which is gonna be great, a brand new venue.
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But the gist of the conference is in some ways it's a um tribute to what Kevin had done
for many, years at ArcKM.
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It's a two day event similar to ArcKM uh bringing together all the leaders in knowledge
management and innovation.
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Of course we sort of tacked down the innovation aspect of it, right?
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So it's not just ArcKM.
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This is knowledge management and innovation for legal.
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you know, I think that's, I know it was intentional, but I think it was a good idea
because a lot of the knowledge management folks in the last, I don't know, 10 or so years
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have started to, um you know, sort of do double, double time, double work in innovation,
right?
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And I know you've done some research on this topic, Ted.
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You, you've analyzed the
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the rise of the innovation professional in law firms.
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And there's been a great increase in the number of people with innovation in their title.
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And, you know, I don't know if we predicted it or if we reacted to it, maybe a little bit
of both, but because knowledge management and innovation folks tend to uh gather together
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and sort of uh some do both of the uh types of work that each other does.
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Sometimes it's the same leader, right?
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We often see
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chief knowledge and innovation officer as the head of innovation and knowledge management
at law firms.
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So we combined those concepts.
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It's very much a peer driven uh event.
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Again, two days in New York City.
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It's October 22, 23 this year.
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And it's all about the community.
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speaking of which, one of the things that's very important to us about that community is
that there's
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As we like to say, there's no second class citizens.
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We really recognize that everybody, uh sponsors, vendors, law firm folks, in-house folks,
we're all members of this community and we treat everybody uh equally at the event because
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we realize that collaboration and cooperation among all members of that community is very
important to success in all respects.
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So we can get into some of the details of
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some of the sessions.
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uh You've been to it ever since it started, so you know the vibe and the sort of uh way we
do things, but happy to sort of expound on any of those things.
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And of course, this year we're co-locating it with our new event, which I know we'll talk
about in a little bit as well.
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Yeah.
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Well, you know, it's interesting about treating everyone as equals.
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The reality is there's a significant amount of cross pollination between those worlds,
especially law firm and vendor.
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I mean, you see people move from the law firm side to the vendor side, then back.
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You know, you have people who are long time vendors.
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Glenn Laforce is a good example.
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Um, you know, he was the global head of sales at Handshake.
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Now he's the
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He was, he was in a KM role at Sherman, now CKIO at Holland and Knight.
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So yeah, these, these, it's these uh constituencies are fluid and they, they, and they
move back and forth.
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Kevin, you want to maybe give us a little overview of Legal Tech Connect and what, the
goals and objectives are there.
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Yeah, yeah, as Patrick mentioned, The KM &I event is very much peer-to-peer, law firm
peer-to-peer in terms of the content.
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And it's uh largely about what's happening within law firms and within KM and innovation
departments.
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think an easy way to describe LegalTech Connect is it's kind of the inverse.
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It's kind of the external.
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It's looking at uh market forces, the regulatory environment, and of course, product
innovation.
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So it's
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the spotlight is expressly on the product developers, the solution providers, uh their
origin stories, what they're solving for.
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So I think it'll be a fascinating uh thread of discussion around what's driving
innovation.
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And I think it kind of opens the aperture up a little bit to have a really dynamic and
broad view of the market and kind of the market pressures kind of.
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hitting law firms from all angles really, in a competitive sense.
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um So it's really a broad view of emerging trends, the regulatory environment, and then
again, that innovation theme on the development side.
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So I think it brings together cohorts that aren't normally typically in the same room at
the same time.
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One of those being the investment community, which a tip of the hat to TLTF uh for tapping
into that energy.
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And they've got one of...
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you know, the preeminent events in the industry.
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And we thought, you know what, that makes a lot of sense to open the door to that
community as well.
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So uh it should be a very lively couple of days.
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you know, you mentioned cross-pollination.
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I think that will be kind of the magic, uh particularly on the networking side, which will
all be completely cross-pollinated, if you will.
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Yeah, I've been, um I didn't go the first year to TLTF, but I've been, they started around
the same time you did um with KM &I, Patrick.
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was 2022.
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that's right.
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might have started.
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Are they in their fourth year?
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Is this their fourth year this coming?
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Yeah.
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Yeah, this is our third for Cam and I, so it must have been a year before.
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Although I think they started during the pandemic.
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I'm not sure.
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I only went for the first time last year.
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Okay, right, right.
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pandemic.
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think their first conference was in 2022 because it hit my radar late.
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I didn't make it to the first one, but I've been to the two since then and I'm going again
this, this year.
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Yeah.
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And they do a great job.
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Um, it is, uh, it's an interesting mix of, you know, law firm stakeholders, investors,
founders.
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Um, they have some thought leaders.
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There were some academics there last year.
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as well, which again, interesting kind of mix.
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So is there, is this a cross access event?
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mean, do people from the buy a Cayman iTicket automatically get access to the LTC content
or vice versa or those separate SKUs?
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Yeah, they're separate.
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Technically, they're separate conferences.
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I mean, not technically, actually, and technically, they are separate conferences.
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And by the way, you know, we were saying Legal Tech Connect, but Legal Tech Connect is the
organization that Kevin and I founded.
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And the event is called Innovators and Investors.
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We just call it LTC for short because it's our first event.
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Of course, we'll have more events under the under the LTC umbrella.
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But the Innovators and Investors event.
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Yeah, it's a separate.
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conference, we found this beautiful space in New York City.
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It's called Ease Hospitality and it's right at it's on third Avenue at 40th Street.
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And, you know, a little bit sort of a opportunistic thing in some ways uh because I've
been wanting to do additional events and been wanting to partner with Kevin for a long
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time.
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And when we found this new venue, it's so big and beautiful.
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There's such great space there.
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We're definitely going to do KMNI there.
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And then we realized there's all this additional space.
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We might be able to do this co-located event and bring together these communities because
there's so much overlap with them.
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So yes, they're separate conferences, but it's almost thinking about it as separate tracks
of the same conference, if you will.
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But they are two separate tickets.
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So in the largest room, there'll be the
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the KMNI room holds about 200, 220 people.
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uh And then the second largest room will be the Legal Tech Connect uh content.
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There's another room that's gonna be sort of an overflow room.
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But those two events will have content in those rooms simultaneously ah and they are
separate tickets.
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Now you can get crossover tickets if you want.
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think...
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We estimate that there'll be about 10 to 15 % of the total crowd in both events that want
a crossover ticket because, you know, some people like me, right?
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I was a CKO, I'm also an investor, I do lots of different things and I think there's a
good number of folks that have that diversity of interest.
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Plus there's quite frankly just a lot of great content and you know Ted, cause you're on
one of these panels, you're moderating one of these panels.
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So I think there's gonna be great interest.
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In both events, the challenge with that, course, is physics.
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You can't be in two places at once, but some people will have those crossover tickets and
want to pop in and out of the two sessions.
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But to Kevin's point, I think one of the best things about this is that all of the other
activities, the networking, the breakfast, lunch, coffee breaks, networking parties, all
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of that stuff over the two days, I think it's about eight hours of networking.
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is combined, right?
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So the content is simultaneously going on and then the networking is simultaneously going
on to bring everybody together.
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So we're talking like 330 people or so um all networking together between and among
themselves.
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So super excited about that aspect of it.
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Yeah, as far as the name goes, people are still going to call you LTC, the event LTC, just
like they do Ilta.
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Like people don't a lot of times they don't say Ilta con I'm going to Ilta or they don't
say TLTF summit.
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They say I'm going to TLTF.
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So it's just yeah, there's worse things that could happen.
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Yeah.
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Exactly.
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So capital startups, AI, regulatory change, what, you talked a little bit about it, but
maybe you can drill into high level themes of the content in terms of how are you bringing
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all that together?
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Are there going to be some sessions that are investor focused?
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Are there some sessions that are going to be founder focused?
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Is there a lot of kind of blending in?
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on the agenda, what does that look like?
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Yeah, great question.
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uh I'll give you the short answer and then Kevin, if you want to expound on some of it.
232
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At LTC, there's basically three groupings, if you will, of content.
233
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The first grouping of content is for the investors and for the buyers.
234
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These are what we're calling solutions showcase stages, right?
235
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It's kind like a startup stage where uh startups and even some uh more mature companies
236
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get an opportunity to do a five minute pitch on stage, right?
237
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So telling the investors in the room and the buyers in the room what they're all about.
238
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Are they seeking funding for a new round?
239
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Are they seeking new customers?
240
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Do they just want to get their oh products and services out there in front of more people?
241
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So there'll be at least two stages, two solutions showcase stages.
242
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So that's one of the groups of content on that stage.
243
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The second group of content is
244
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Kind of what it's kind of advice to legal tech startups, right?
245
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There's sort of mentor panels and, and, um, founders journeys and these types of things.
246
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So we have folks like Haley Altman from Laterra, right?
247
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Who has, you know, her company docs that was acquired and then she was involved in lots of
acquisitions and other folks like her, uh, Peter Oselin and others who are going to, uh,
248
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basically be, you know,
249
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temporary mentors to these.
250
00:18:42,325 --> 00:18:45,236
In fact, one of our panels is called the Mentors Panel.
251
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Advising legal tech startups, and there's a lot of them out there as we know, a lot of new
ones, what it's all about to do this from soup to nuts, right?
252
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From founding to exit and give lots of great uh advice about that.
253
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And then the third grouping of content at Legal Tech Connect is, I would say it's just
sort of general legal technology sessions.
254
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What's new in AI?
255
00:19:07,769 --> 00:19:09,346
uh
256
00:19:09,346 --> 00:19:14,172
what's going on, what's the latest, what's important, what needs to be on your radar,
these types of things.
257
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uh So, and it's a nice balance of that type of content, I think.
258
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uh Happy to drill down into any of the areas.
259
00:19:21,746 --> 00:19:25,868
Kevin, I don't know if you want to expound on some of the more interesting sessions.
260
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uh Yeah.
261
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I think high level, think bringing the two events together kind of tells a broader story
about what's happening in legal innovation.
262
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um I don't think it's really incremental, if that's the right word to use.
263
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I think there's market level shifts happening um that require more alignment across
builders, buyers and funders.
264
00:19:46,742 --> 00:19:50,966
I think, you know, I think that's kind of the high level story.
265
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I think there's this gravitational pull.
266
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It's much wider, right?
267
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Investment capital flowing in.
268
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All of these startups that are solving, oftentimes very discreet uh challenges or
exploring opportunities and shifting client expectations, that's certainly part of the
269
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story.
270
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We mentioned regulatory change.
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So all of these things are happening, uh impacting and reshaping this ecosystem.
272
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So I think from a high level, I think it does tell a really compelling story.
273
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uh
274
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again, the access piece and who will be in which room.
275
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As Patrick said, there are distinct physical limitations there.
276
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In fact, the Legal Tech Connect room is a bit smaller than the KM &I room.
277
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We're going to feel this out and see exactly where it's like water finding its level.
278
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I know there will be a lot of interest oh looking in both directions, but we hope to
accommodate.
279
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uh
280
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those desires the best we can.
281
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But yeah, we're excited about this.
282
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think it's a very comprehensive look at market snapshot, uh which relative to the work
I've done, it's a really, like I said, casting a very wide uh lens on the marketplace.
283
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You know, it's going to be, there are going to be some interesting conversations now um
about, especially on the investor side and on the founder side, there is, I don't know
284
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anybody who disagrees with that we are frothy right now in terms of uh valuations, capital
influx into the market, number of startups that are being stood up that maybe
285
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You know, don't have a complete vision.
286
00:21:44,344 --> 00:21:59,812
Um, and you know, it's driving interesting dynamics that are exciting and a little
concerning at the same time, you know, cause I, we all know how the story ends.
287
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all three of us are old enough to have seen a few cycles, economic cycles in our day.
288
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And I think what, you know, this, where we're at today, I don't know if you guys would
disagree.
289
00:22:11,862 --> 00:22:17,204
Where we're at today feels a lot like the dot com era.
290
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So, you know, in the late nineties, there was all of this money coming in to, you know,
dot coms that sometimes had no revenue, sometimes had a fairly thrown together business
291
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plan, yet they were acquiring funding.
292
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And that ended in a big correction.
293
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Um, and I think we're, we're, we're, we're, we're headed in that direction as well.
294
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But what's, I think what is a parallel between then and now is the underlying assumptions
that, you know, e-commerce was going to be a massive force and completely disrupt the
295
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retail economy.
296
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We're true.
297
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And just like with AI, you know, the transformational power.
298
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of AI is undeniable.
299
00:23:12,247 --> 00:23:23,200
But as irrational exuberance starts to gain traction, people think they can throw money in
any direction and have a successful outcome.
300
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And that's just not the case.
301
00:23:24,391 --> 00:23:27,952
um I'm um actually relieved.
302
00:23:27,952 --> 00:23:32,333
So InfoDash, for those that don't know, is an intranet extranet platform.
303
00:23:32,333 --> 00:23:35,104
And I consider us AI adjacent.
304
00:23:35,343 --> 00:23:43,183
You guys might not even really know this about us, but we have something called
Integration Hub that we've had this product for years.
305
00:23:43,183 --> 00:23:44,083
We've never named it.
306
00:23:44,083 --> 00:23:55,503
We used to call it the Info-API, but it's essentially a middle tier that we deploy in a
client's Azure tenant that has tentacles into all of their back office systems that is
307
00:23:55,503 --> 00:23:58,583
security trimmed and respects ethical wall boundaries.
308
00:23:59,343 --> 00:24:05,223
And what's interesting about that, we, to be perfectly honest, didn't see this coming.
309
00:24:05,250 --> 00:24:19,116
the need for this, but what it does is it enables law firms to tap into their line of
business data using all of Microsoft's Lego blocks like Azure AI search, Azure open AI,
310
00:24:19,116 --> 00:24:22,057
co-pilot, power automate, power apps.
311
00:24:22,257 --> 00:24:28,759
It creates a, a mechanism for the, for them to tap into their data.
312
00:24:28,840 --> 00:24:34,826
And I don't know how you guys see things in the future, but how I see them.
313
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is data, know, firms have historically differentiated themselves through brand that's
largely been driven by people and outcomes.
314
00:24:44,713 --> 00:24:57,132
And that's still going to be very important, but there's a new component to the equation,
which is what data do you have access to and how can you leverage it in your legal
315
00:24:57,132 --> 00:25:03,066
workflows to build better work product, to advise clients.
316
00:25:03,086 --> 00:25:08,848
Um, more effectively and we kind of, we're, AI adjacent, right?
317
00:25:08,848 --> 00:25:19,571
We're not, I'm, and I'm glad because I feel like when the train comes and like, I'm
standing to the side, we'll, we will get impacted if there's a big correction, but not
318
00:25:19,571 --> 00:25:27,273
nearly, you know, all these companies that are, you know, thin wrappers on AI platforms.
319
00:25:27,273 --> 00:25:28,439
Um, I don't know.
320
00:25:28,439 --> 00:25:30,594
Do you guys see the market?
321
00:25:31,044 --> 00:25:35,135
as frothy as I do or do you have a different perspective?
322
00:25:36,839 --> 00:25:38,159
think that's a tough one.
323
00:25:38,159 --> 00:25:44,581
think there are strong parallels to the dot com era and the AI era, if you will.
324
00:25:44,901 --> 00:25:53,043
But I think, and this is what popped into my mind, Ted, we've been talking about the
unbundling of services for a long time in legal, right?
325
00:25:53,323 --> 00:26:05,286
And then you see these, what they're being described as these AI native law firms like
Crosby and Covenant, if you're familiar with these, that do very specific things
326
00:26:05,866 --> 00:26:07,066
leveraging
327
00:26:07,118 --> 00:26:08,598
automation and AI.
328
00:26:08,598 --> 00:26:13,700
um And they almost look and have a look and feel of like a ALSP, right?
329
00:26:13,700 --> 00:26:18,281
um But they're law firms doing legal work with lawyers.
330
00:26:18,281 --> 00:26:34,406
uh But again, I feel like it's part of that unbundling concept where you can leverage the
tech to do discrete tasks really effectively, really efficiently to a different price
331
00:26:34,406 --> 00:26:35,146
point.
332
00:26:35,206 --> 00:26:42,151
I think there are some distinctions between where we are now uh relative to the dot com
boom and bust.
333
00:26:42,612 --> 00:26:50,599
And clearly the dawn of the internet changed the business landscape from that point
forward.
334
00:26:50,599 --> 00:26:55,563
uh AI is probably most certainly going to do the same thing.
335
00:26:55,563 --> 00:26:57,805
We're not sure at what speed and velocity.
336
00:26:57,805 --> 00:27:04,478
um do you see, particularly on the transactional side, AI
337
00:27:04,762 --> 00:27:13,452
furthering that unbundling of legal service delivery and kind of putting them in really
specific buckets, if you will.
338
00:27:13,667 --> 00:27:15,668
Yeah, that's a great question.
339
00:27:15,668 --> 00:27:17,648
I think the answer is yes.
340
00:27:18,128 --> 00:27:29,652
know, due diligence is a great example of uh a piece of that value chain that is subject
to a high degree, very high degree of automation.
341
00:27:29,652 --> 00:27:40,755
you know, something, tasks that took, you know, a room full of junior associates pouring
through mountains of documents over weeks.
342
00:27:40,912 --> 00:27:46,052
of time can now be done in days through AI.
343
00:27:46,532 --> 00:28:02,852
So I think that we are absolutely going to see an unbundling and it may be kind of a
decomposition and then a recomposition of, you know, the providers that like it doesn't,
344
00:28:02,852 --> 00:28:06,652
you know, especially on a transaction, it's unlikely that you're going to go.
345
00:28:06,947 --> 00:28:14,952
to one place for your due diligence and somewhere else to draft up your stock purchase
agreements.
346
00:28:14,952 --> 00:28:26,061
um But I think that uh these big law firms that, especially in the transactional world,
where pedigree is such an important aspect of the
347
00:28:26,061 --> 00:28:36,537
the whole process, like when you're on the other side of the table and you see, you know,
Gunderson or Cooley or Wilson Sincini or Goodwin or, you know, one of these big reputable
348
00:28:36,537 --> 00:28:43,761
firms that have a ton of experience on the other side of the table, it changes your
negotiation strategy, right?
349
00:28:43,761 --> 00:28:47,533
Um, versus somebody who's not well represented.
350
00:28:47,533 --> 00:28:50,845
Um, so that stuff is still going to matter.
351
00:28:50,845 --> 00:28:55,767
It's not like people are not going to go to one of these firms to get the work done.
352
00:28:55,801 --> 00:29:10,048
But I think these big firms are going to have to think very carefully about their process
and figure out how to incorporate automation or they're gonna lose work to the firms that
353
00:29:10,048 --> 00:29:10,828
do.
354
00:29:11,189 --> 00:29:13,231
That's what seems to make sense to me.
355
00:29:14,042 --> 00:29:14,782
Yeah.
356
00:29:14,782 --> 00:29:17,162
I think there's a couple of things at play.
357
00:29:17,302 --> 00:29:28,682
First of all, your point about content and data being very important as opposed to, you
know, also important, but as opposed to just resting on the laurels of the reputation and
358
00:29:28,682 --> 00:29:32,542
brand and pedigree of the firm and the lawyers who are there.
359
00:29:32,542 --> 00:29:34,302
I think that's true.
360
00:29:34,302 --> 00:29:37,262
Those things will continue to be important.
361
00:29:38,462 --> 00:29:41,761
Good lawyers are, you you need good lawyers to do good.
362
00:29:41,761 --> 00:29:44,453
legal work.
363
00:29:45,134 --> 00:29:51,859
But I think your point underscores the importance, quite frankly, of knowledge management.
364
00:29:51,859 --> 00:29:58,064
uh This is what we've been, you know, the bell we've been ringing for years and years and
years.
365
00:29:58,064 --> 00:30:11,894
uh The firm, the firm, the, you know, firms, the firm has created content for years and
years and years, millions of documents, you know, millions of pieces of content.
366
00:30:11,950 --> 00:30:21,330
that is codified into documents, saved into some platform, DMS or other.
367
00:30:23,030 --> 00:30:30,190
And what has happened with, and I'll just call them modern technologies, because it's not
all AI.
368
00:30:30,190 --> 00:30:37,250
We're calling all of this new stuff AI, and it's almost meaningless to use that term
already.
369
00:30:37,650 --> 00:30:40,590
I think what most people mean by it is,
370
00:30:41,064 --> 00:30:43,005
modern technologies, right?
371
00:30:43,005 --> 00:30:45,435
Like search tools are not AI, right?
372
00:30:45,435 --> 00:30:49,867
uh Generative AI is a different type of AI than expert systems.
373
00:30:49,867 --> 00:30:55,118
So I think we need to be more precise in a lot of this stuff, but I'll get off that high
horse for a second.
374
00:30:55,218 --> 00:31:08,822
The benefit of all of this, the awareness, the hype, whether it's the market hype or not,
but the hype, the fact that, you know, AI is in every newscast out there, every, you know,
375
00:31:08,822 --> 00:31:09,612
every
376
00:31:10,220 --> 00:31:14,190
discussion about business now includes a discussion about AI.
377
00:31:14,190 --> 00:31:31,556
I think that helps those of us who are trying to promote knowledge management because it
goes to the point that it's important that we leverage the firm's collective knowledge and
378
00:31:31,556 --> 00:31:33,436
wisdom and experience.
379
00:31:33,436 --> 00:31:40,258
And you cannot do that unless you're able to unearth it and access it and share it.
380
00:31:40,331 --> 00:31:43,112
and get it around to the others at the firm.
381
00:31:43,672 --> 00:31:46,273
There's so much oil, right?
382
00:31:46,273 --> 00:31:47,974
Data, the new oil.
383
00:31:48,213 --> 00:31:52,276
There's so much great information at all of these firms.
384
00:31:52,276 --> 00:31:57,768
It's just the accessibility of it has been a huge problem for many, many years.
385
00:31:57,768 --> 00:32:09,542
And to your point about your platform, Ted, the fact that you can tap into other systems
and bring them into an interface that is useful and easy to access,
386
00:32:09,682 --> 00:32:12,744
and is uh intuitive.
387
00:32:12,984 --> 00:32:18,707
This is really where it's at because again, that content has always been there.
388
00:32:18,808 --> 00:32:29,474
And sometimes you have PSLs or practice support lawyers or knowledge management attorneys
or whatever we're calling our folks nowadays, know, sort of manually do some of that work
389
00:32:29,474 --> 00:32:35,908
to, to, to rise it to that, raise it to the top, et cetera.
390
00:32:35,908 --> 00:32:36,332
But
391
00:32:36,332 --> 00:32:47,165
you know, tools like yours and others are really effective in surfacing that gold that has
in many organizations been untapped for many, many years.
392
00:32:47,526 --> 00:33:00,460
so those, those organizations that focus on that and appreciate that and understand that
they're sitting on a gold mine or a oil field or whatever analogy we want to use.
393
00:33:00,618 --> 00:33:08,545
and all they have to do is take the steps to expose it and make it accessible, they're
going to win.
394
00:33:08,545 --> 00:33:21,035
um Whether that's AI or whether that's just automation or whether that's just good
business practices or processes and getting the right people in the right spots, this is
395
00:33:21,035 --> 00:33:23,097
what I love about what's going on now.
396
00:33:23,097 --> 00:33:29,706
Whether or not we're in a bubble, I have some thoughts about that too, but I'm thankful
that this is
397
00:33:29,706 --> 00:33:35,929
shining a light on the, as I like to say, old problems, new tools, right?
398
00:33:36,009 --> 00:33:37,849
It's the same problems, right?
399
00:33:37,849 --> 00:33:39,952
It's accessibility and everything else.
400
00:33:39,952 --> 00:33:45,975
We just have more powerful tools now that enable us to get that work done.
401
00:33:45,975 --> 00:33:54,459
So I'm excited about it, even if it might be a financial bubble or over investment bubble
or these types of things.
402
00:33:54,459 --> 00:33:59,732
There are going to be some of these companies that don't survive, but many will, and I
think many will do well.
403
00:34:00,442 --> 00:34:04,392
You know, no, no, go ahead, Kevin.
404
00:34:04,624 --> 00:34:09,945
I was just gonna say a lot of what Patrick was alluding to strikes me as information
architecture.
405
00:34:10,286 --> 00:34:18,429
And uh arguably perhaps law firms were a little late to the game in terms of focusing on
information architecture.
406
00:34:18,529 --> 00:34:20,850
I think AI clearly lit that fire.
407
00:34:20,850 --> 00:34:28,253
ah But there were a number of firms uh building toward this moment for a decade or more.
408
00:34:28,253 --> 00:34:30,314
um But I think that's.
409
00:34:30,564 --> 00:34:39,785
That's really the challenge on the data side is having systems that can speak to one
another and findability, usability, right?
410
00:34:39,906 --> 00:34:44,531
That's IA before AI, if you will.
411
00:34:45,954 --> 00:34:46,754
Yeah.
412
00:34:46,861 --> 00:34:53,435
know, and we are positioned in an interesting spot on that kind of data landscape.
413
00:34:53,435 --> 00:34:58,388
know, InfoDash, the name comes from, we're DoorDash for your data.
414
00:34:58,749 --> 00:35:03,012
And, you know, we kind of deliver it when you want, where you want.
415
00:35:03,012 --> 00:35:13,219
We've chosen intranets and extranets as kind of the single pane of glass to view these
disparate data sources in a coherent and consolidated way.
416
00:35:13,293 --> 00:35:22,272
But the reality is that that data orchestration layer has a lot of value in the in the AI
scenario too.
417
00:35:22,353 --> 00:35:23,704
So let me ask you guys a question.
418
00:35:23,704 --> 00:35:28,469
Do you do you guys know the average length of a bull market?
419
00:35:32,258 --> 00:35:33,339
not sure.
420
00:35:34,118 --> 00:35:35,376
10 years?
421
00:35:35,376 --> 00:35:41,916
five, and that's the optimistic, that is the optimistic, there's lots of different ways to
measure.
422
00:35:42,756 --> 00:35:45,616
So yeah, five is the average.
423
00:35:46,056 --> 00:35:50,136
Do you know the longest bull market to ever run?
424
00:35:50,136 --> 00:35:51,916
How long it was and when?
425
00:35:54,756 --> 00:35:57,962
You're in it, you're in it, yeah.
426
00:35:57,962 --> 00:35:59,088
That'd be mine.
427
00:35:59,088 --> 00:36:03,488
Yeah, so tend to well, and there's also a debate about this as well.
428
00:36:04,068 --> 00:36:21,428
So 2010 to 2022 during COVID, hard to say that the 30 or 40 % market drop in COVID is
still in scope for the bull market definition, but we so quickly recovered from that.
429
00:36:21,428 --> 00:36:23,208
That wasn't a normal cycle.
430
00:36:23,208 --> 00:36:28,110
So I consider that we are still in the 2010 bull market 15 years.
431
00:36:28,110 --> 00:36:28,955
Hmm.
432
00:36:28,955 --> 00:36:36,179
Um, you know, because essentially it's, is, and what it tells you is that we're overdue.
433
00:36:36,319 --> 00:36:38,871
We're overdue for correction.
434
00:36:38,871 --> 00:36:44,163
these things are natural cycles, like, you know, kind of like the Gartner hype cycle.
435
00:36:44,324 --> 00:36:51,267
And, um, you know, from an investment perspective, there's so much, I keep a spreadsheet
of VCs that reach out to us.
436
00:36:51,267 --> 00:36:57,975
In fact, I shared it with you, um, that it it's longer than the last time I sent it to you
a week ago.
437
00:36:57,975 --> 00:37:07,127
Like I get hit up just so we started recording the spreadsheet maybe six weeks before
Ilta.
438
00:37:07,127 --> 00:37:10,939
So it's been three months tops, maybe less.
439
00:37:10,939 --> 00:37:14,039
And I've got 26 VCs in there.
440
00:37:14,179 --> 00:37:15,860
When you have that number.
441
00:37:15,860 --> 00:37:21,351
So these I'm looking at signals in the market like, all right, what signals can we look at
to tell us we're in a bubble?
442
00:37:21,351 --> 00:37:27,143
All right, we've got capital out there chasing opportunities, uber aggressively.
443
00:37:27,143 --> 00:37:28,193
We've got
444
00:37:28,193 --> 00:37:34,686
Meta spending 250 million dollars as signing bonus bonuses to hire resources.
445
00:37:34,686 --> 00:37:50,743
We've got 100x or sometimes, you know, valuations for companies that don't even have
revenue or a bit even sometimes it's a public um business plan as to what they're going to
446
00:37:50,743 --> 00:37:51,173
do.
447
00:37:51,173 --> 00:37:55,375
um And then, you know, it almost feels like we're heading
448
00:37:55,408 --> 00:37:58,921
You know, there's some parallels to the NFT market back in the day.
449
00:37:58,921 --> 00:38:00,552
Remember the board apes?
450
00:38:02,634 --> 00:38:06,857
and what crazy numbers, like hundreds of thousands of dollars for these NFTs.
451
00:38:06,857 --> 00:38:14,043
Now the difference is that was a bunch of nonsense and there were solving real world
business problems.
452
00:38:14,043 --> 00:38:19,697
There's real applications of the blockchain, but NFTs, I don't know your feelings on them.
453
00:38:19,697 --> 00:38:24,559
Uh, there was so much, there was more hype than really fundamental value there.
454
00:38:24,559 --> 00:38:36,559
I think that's different with this and it's going to be interesting to see the
perspectives of, you know, the investor community and, um, you know, your founder
455
00:38:36,559 --> 00:38:45,819
community that are, you you have to make decisions as a founder of a startup, like, Hey,
do I accept this loft evaluation that I can get a big amount of money for a little bit of
456
00:38:45,819 --> 00:38:46,159
dilution?
457
00:38:46,159 --> 00:38:47,839
That's very attractive.
458
00:38:47,879 --> 00:38:54,399
The debt, the downside of that is if you don't deliver on expectations because maybe we
have some turbulence.
459
00:38:54,615 --> 00:39:02,300
or the market is over saturated and you can't deliver on expectations, you're going to
have a down round, which is very, very bad.
460
00:39:02,300 --> 00:39:11,247
There's all sorts of provisions that are tied to that money that you accepted that have
really bad consequences for you as a founder when that happens.
461
00:39:11,247 --> 00:39:21,684
So you guys bringing this audience together right now, I think is super interesting
because I can't wait to just read the room and have some side conversations and you know,
462
00:39:21,684 --> 00:39:23,811
from founders and from investors like
463
00:39:23,811 --> 00:39:25,233
Hey, how are you guys thinking about this?
464
00:39:25,233 --> 00:39:32,224
Like you're coming in at 12, 14 X revenue on a startup that's in a crowded space and lots
of uncertainty.
465
00:39:32,224 --> 00:39:39,425
Um, but I, I, I would imagine Patrick, that's the goal is to like have these
conversations.
466
00:39:39,939 --> 00:39:41,240
Yeah, absolutely.
467
00:39:41,240 --> 00:39:41,730
Absolutely.
468
00:39:41,730 --> 00:39:46,461
And to your point, it's going to be such a nice mix of folks in the room, right?
469
00:39:46,461 --> 00:39:56,245
The investors who are, you know, trying to get a piece of these legal tech companies, the
legal tech companies that are, you know, trying to figure it all out.
470
00:39:56,245 --> 00:39:56,665
Right.
471
00:39:56,665 --> 00:40:04,468
And that's why I love that we have a lot of these experienced folks who have been through
it and could give those legal tech companies some advice.
472
00:40:04,468 --> 00:40:06,549
And then the buyers in the room as well.
473
00:40:06,549 --> 00:40:08,599
And, you know, I
474
00:40:09,100 --> 00:40:25,260
I'm kind of glad I'm not at a law firm anymore because, ah you know, trying to schedule,
hear this among my friends who are former peers in positions that I used to occupy, just
475
00:40:25,260 --> 00:40:31,563
trying to keep up with the vendors and see the demos and not miss anything.
476
00:40:31,563 --> 00:40:35,918
And then of course, it's compounded by the fact that the
477
00:40:35,918 --> 00:40:42,180
partners at the firm are seeing this stuff in regular sort of the course of their day.
478
00:40:42,340 --> 00:40:47,121
Sometimes clients come to them and say, hey, would you take a look at our stuff?
479
00:40:47,121 --> 00:40:58,424
But now you've got the additional, this used to be a little bit of a problem, but a lot
more these partners are coming to the KM and innovation folks and saying, have we looked
480
00:40:58,424 --> 00:40:59,364
at this tool?
481
00:40:59,364 --> 00:41:00,475
Have we looked at that tool?
482
00:41:00,475 --> 00:41:02,195
And if it happens once in a while, it's fine.
483
00:41:02,195 --> 00:41:05,302
And sometimes you learn about something new, but
484
00:41:05,302 --> 00:41:13,869
what I'm hearing is it's happening multiple times a week from multiple partners and it
just adds and you can't say, know, well, we're not going look at that one.
485
00:41:13,869 --> 00:41:21,996
You know, you say, yes, we'll absolutely add it to the list and we'll get back to you and
give you our assessment.
486
00:41:21,996 --> 00:41:30,703
But, you know, some firms have full time uh AI assessors in terms of like assessing tool,
new tools.
487
00:41:30,963 --> 00:41:34,516
And that's just a job that never existed.
488
00:41:34,567 --> 00:41:35,468
when I was doing it.
489
00:41:35,468 --> 00:41:41,973
um So yeah, it's hard on everybody, but there's a lot of opportunities to your point as
well.
490
00:41:41,973 --> 00:41:52,442
And I think there's gonna be some big winners and I think there's gonna be a lot that just
sort of fall off and try something else, but it'll be interesting.
491
00:41:52,442 --> 00:41:56,425
But to your point earlier, I think we've been through this as well, even within legal,
right?
492
00:41:56,425 --> 00:41:58,827
Think about the early e-discovery days, right?
493
00:41:58,827 --> 00:42:03,246
In the early 2000s, there were so many companies trying to get
494
00:42:03,246 --> 00:42:06,229
piece of that action, because it was so lucrative.
495
00:42:06,229 --> 00:42:11,994
And that market has sort of uh consolidated and settled down.
496
00:42:11,994 --> 00:42:16,468
And there's some leaders, and there's some niche players as well.
497
00:42:16,468 --> 00:42:20,722
I suspect that'll happen uh with legal AI.
498
00:42:20,722 --> 00:42:23,146
uh And that's a good thing.
499
00:42:23,146 --> 00:42:25,546
I don't think this is sustainable.
500
00:42:25,546 --> 00:42:29,740
I don't think anybody wants it to continue like it is now.
501
00:42:30,466 --> 00:42:40,826
I think everybody wants it to calm down a little bit and let the, you know, the best stuff
rise to the top and let the mediocrity, you know, fade away.
502
00:42:40,826 --> 00:42:42,342
I think that's a good thing.
503
00:42:42,342 --> 00:42:44,742
Do you actually see things calming down?
504
00:42:44,742 --> 00:42:49,462
Maybe from a new product entrant perspective, things will calm down.
505
00:42:49,462 --> 00:42:56,382
But in terms of implications on a law firm business model, I don't see that calming down
anytime soon.
506
00:42:56,682 --> 00:42:59,221
I'd see that getting more complicated.
507
00:42:59,702 --> 00:43:02,042
I think we're just at the front end of that personally.
508
00:43:02,211 --> 00:43:09,838
Well, with money pushing so aggressively into the space, it's going to continue until that
dries up.
509
00:43:09,838 --> 00:43:14,282
Once the capital dries up, there will be less fuel.
510
00:43:14,282 --> 00:43:20,387
There'll be less dry powder for these startups to leverage, to create their wares.
511
00:43:20,387 --> 00:43:24,041
um mean, look at the Harvey situation.
512
00:43:24,041 --> 00:43:27,023
So Harvey raised, I think they did two rounds.
513
00:43:27,023 --> 00:43:29,165
I don't remember which rounds they were.
514
00:43:29,171 --> 00:43:35,317
One was at a $3 billion valuation and three or four months later, it was at a $5 billion
valuation.
515
00:43:35,378 --> 00:43:36,459
Now, okay.
516
00:43:36,459 --> 00:43:37,760
You might say, great.
517
00:43:37,760 --> 00:43:44,747
If you were early in on Harvey, man, I, know, and no shade to Harvey, like they're doing
great.
518
00:43:44,747 --> 00:43:52,112
Um, Ligora is doing great, but if I'm an investor, I'm looking at that and going, I don't
want any.
519
00:43:52,112 --> 00:43:52,912
piece of that.
520
00:43:52,912 --> 00:44:03,486
Like don't want to go anywhere near that because it's just the volatility like having such
a meteoric rise creates risk.
521
00:44:03,486 --> 00:44:11,630
You know how much of um and this isn't specific to Harvey but just in general with
startups like how much of your revenue is vibe revenue right?
522
00:44:11,630 --> 00:44:20,303
People trying out maybe you keep doing paid POCs and what sort of churn are you going to
experience once things stabilize?
523
00:44:20,525 --> 00:44:29,461
That those are really important questions and you know, startup valuations are driven by
on revenue, multiples of revenue.
524
00:44:29,461 --> 00:44:39,017
And it's like your company is being valued based on this revenue that, is probably a good
significant chunk of it's going to churn when things stabilize.
525
00:44:39,017 --> 00:44:45,911
So that, whole situation makes me nervous, just as a player in the space, like it's
getting risky.
526
00:44:46,892 --> 00:44:47,983
Yeah, for sure.
527
00:44:47,983 --> 00:44:59,139
And you know, we've always said even, even the largest law firms are relatively small
businesses and those who, you know, cater to them, you could do very, very well, of
528
00:44:59,139 --> 00:45:06,173
course, um, being a focused on legal tech or whatever niche you might be focused on.
529
00:45:06,173 --> 00:45:16,094
But when you're talking really large numbers, when you're talking multiple billions, these
are the types of numbers that, sort of
530
00:45:16,094 --> 00:45:23,668
larger, uh broader, uh non-niche companies usually go for, right?
531
00:45:23,668 --> 00:45:36,375
You know, if you're selling to Walmart or, you know, Walmart's the biggest, it's maybe,
maybe not a great example, but if you're selling to, you know, IBM, Oracle, selling to
532
00:45:36,375 --> 00:45:39,787
Apple, these companies have hundreds of thousands of employees.
533
00:45:39,787 --> 00:45:41,548
The largest law firm has what?
534
00:45:41,548 --> 00:45:44,019
I don't know, 14,000 employees, something like that.
535
00:45:44,019 --> 00:45:45,231
And then it drops off
536
00:45:45,231 --> 00:45:46,392
pretty quickly from there.
537
00:45:46,392 --> 00:45:51,075
uh So even large law firms are relatively small businesses.
538
00:45:51,075 --> 00:46:00,000
So if you're selling into the legal world, into law firms, there's only so many seats you
can sell to.
539
00:46:00,040 --> 00:46:05,364
And of course, some smart companies have broadened their targets.
540
00:46:05,364 --> 00:46:09,326
So uh outside of legal, you expand to
541
00:46:09,738 --> 00:46:12,829
more generally professional services that do similar work.
542
00:46:12,829 --> 00:46:19,041
And then there's more TAM, more total addressable market there for you to target, which is
smart, of course.
543
00:46:19,041 --> 00:46:32,725
um But yeah, I think there's some delusion in terms of uh how big can we get, especially
if you're sort of very niche, right?
544
00:46:32,725 --> 00:46:36,456
uh But it's interesting to see.
545
00:46:36,456 --> 00:46:38,346
And what I love about
546
00:46:38,562 --> 00:46:46,921
today is, you know, there's, think more than ever, people are really trying to figure out
how to do it better, right?
547
00:46:46,921 --> 00:46:48,157
And that's what we're all about, right?
548
00:46:48,157 --> 00:46:49,514
What we've always been all about.
549
00:46:49,514 --> 00:46:51,817
How can we do this better, stronger, faster?
550
00:46:51,817 --> 00:46:57,964
And I think there's a lot of interesting, uh smart people trying to accomplish those
goals.
551
00:46:57,964 --> 00:46:59,427
So I'm excited about that.
552
00:46:59,427 --> 00:47:09,776
Yeah, well, I'm going to be um moderating your keynote panel at the Legal Tech Connect
conference.
553
00:47:09,776 --> 00:47:13,519
We're sponsors and we're going, we have a demo room.
554
00:47:13,720 --> 00:47:17,313
I can't remember which day it is, but we have a demo room one day at KMNI.
555
00:47:17,313 --> 00:47:22,187
We're going to be showing our new extranet platform, which is a high key replacement.
556
00:47:22,248 --> 00:47:26,177
We're really bullish about our opportunity in that space.
557
00:47:26,177 --> 00:47:31,953
Nothing has really changed in the legal extranet space in honestly more than 10 years.
558
00:47:31,953 --> 00:47:46,419
um And we are really doing it differently by again enabling the firms to surface data and
um make it client facing in some really interesting ways and then a whole bunch of client
559
00:47:46,419 --> 00:47:47,950
facing AI stuff.
560
00:47:48,324 --> 00:47:52,786
For those that come, we'll be showing that solution off.
561
00:47:52,786 --> 00:47:54,717
Kevin, how do people find out more?
562
00:47:54,717 --> 00:47:56,448
Because we're wrapping up here.
563
00:47:56,948 --> 00:48:03,371
Before we do, I want you guys to tell people how to find out more about LTC and the KM &I
Summit.
564
00:48:04,964 --> 00:48:08,677
Yeah, well, we've got uh obviously a landing page for each.
565
00:48:08,677 --> 00:48:10,419
uh What is it?
566
00:48:10,419 --> 00:48:18,986
KMNIforlegal.com, uh which will provide links to LegalTechConnect, which
LegalTechConnect.com.
567
00:48:18,986 --> 00:48:23,430
uh There's information about both events uh on both websites.
568
00:48:23,430 --> 00:48:25,572
uh So check it out.
569
00:48:25,572 --> 00:48:32,228
We've just recently expanded what we've got coming into shape with respect to the agenda.
570
00:48:32,758 --> 00:48:37,641
and the speakers and the solutions showcase stage that continues to grow.
571
00:48:37,641 --> 00:48:39,412
We've just added a third segment.
572
00:48:39,412 --> 00:48:50,889
So there will be a lot of buzz, a lot of energy in a beautiful space um in October in New
York, which tends to be a great time uh to spend some time in New York City.
573
00:48:50,889 --> 00:48:52,910
So it should be a lot of fun.
574
00:48:52,910 --> 00:48:55,012
uh We're excited about it.
575
00:48:55,012 --> 00:48:58,874
So appreciate you letting us talk about it and share some details, Ted.
576
00:48:58,874 --> 00:48:59,323
Thank you.
577
00:48:59,323 --> 00:48:59,863
absolutely.
578
00:48:59,863 --> 00:49:01,783
And I'll give my stamp of approval.
579
00:49:01,783 --> 00:49:03,403
I go to a lot of conferences.
580
00:49:03,403 --> 00:49:09,863
I think this year we're doing 14 and I, and I, I do 12 of them.
581
00:49:09,863 --> 00:49:22,263
So I'm not doing, I didn't do, there was a TLTF and P P WC event in London and I let
somebody else make that transatlantic trip and then legal geek I'm missing as well.
582
00:49:22,263 --> 00:49:28,023
Matt, uh, yes, a bitch or you guys know, and Adam young are, um, are heading over there.
583
00:49:28,045 --> 00:49:30,437
That transatlantic travel is rough.
584
00:49:30,437 --> 00:49:36,129
Um, you know, doing a red, so I'll let the younger guys with more hair do.
585
00:49:36,129 --> 00:49:38,978
say you're getting too old for that stuff.
586
00:49:39,150 --> 00:49:40,701
No doubt, no doubt.
587
00:49:40,701 --> 00:49:42,802
um Well, I can vouch.
588
00:49:42,802 --> 00:49:45,983
I do a lot of events and I can vouch for Cam and I.
589
00:49:45,983 --> 00:49:47,003
It is fantastic.
590
00:49:47,003 --> 00:49:48,934
You guys, top notch food.
591
00:49:48,934 --> 00:49:51,245
It's a really nice space.
592
00:49:51,385 --> 00:49:55,587
It uh is a very class act.
593
00:49:55,587 --> 00:50:02,430
um And I've seen the agenda for LTC and the content looks incredible.
594
00:50:02,430 --> 00:50:04,831
So I'm really excited about that.
595
00:50:04,831 --> 00:50:05,651
So.
596
00:50:05,795 --> 00:50:12,547
Thank you guys for spending a few minutes with me today and I'm going to see you person in
about eight weeks.
597
00:50:13,328 --> 00:50:13,873
Sounds great.
598
00:50:13,873 --> 00:50:14,585
Thank you, Ted.
599
00:50:14,585 --> 00:50:14,997
you, Ted.
600
00:50:14,997 --> 00:50:15,731
Thanks for having us.
601
00:50:15,731 --> 00:50:16,735
We appreciate it.
602
00:50:16,735 --> 00:50:17,622
Absolutely.
603
00:50:17,622 --> 00:50:18,175
All right.
604
00:50:18,175 --> 00:50:19,032
Take care.
605
00:50:19,032 --> 00:50:19,995
See you soon.
606
00:50:19,995 --> 00:50:20,346
too.
607
00:50:20,346 --> 00:50:21,326
Thank you.
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