In this episode, Ted sits down with Mike Schmidtberger, Chairman & Partner at Norm Law LLP, to discuss the rise of AI-native law firms and how technology is reshaping legal service delivery. From combining experienced lawyers with autonomous AI agents to rethinking pricing, transparency, and the traditional law firm value proposition, Mike shares his expertise in legal practice, firm leadership, and AI-driven innovation. As AI-native firms move beyond routine work and into increasingly sophisticated matters, this conversation explores what their emergence could mean for Big Law, clients, and the future of legal services.
In this episode, Mike Schmidtberger shares insights on how to:
Combine experienced legal talent with AI-native workflows to deliver sophisticated legal services
Use autonomous AI agents to handle the first pass of legal work and create reusable capabilities
Take advantage of a clean-slate operating model to rethink traditional law firm processes
Approach pricing and client communication with greater predictability and transparency
Identify where AI-native firms can compete with Big Law as their capabilities continue to evolve
Key takeaways:
AI-native firms have a clean-slate advantage because they can design their operating models around AI rather than retrofit technology into legacy structures.
Experienced lawyers remain essential, particularly as AI-native firms move from routine matters toward more sophisticated “operate the company” legal work.
Reusable AI agents can create significant efficiencies across recurring legal tasks and transactions.
Data can provide a competitive advantage, but Mike distinguishes that advantage from a lasting moat as models and technology continue to evolve.
AI-driven efficiency creates an opportunity to rethink legal pricing while giving clients greater transparency and predictability around their legal spend.
About the guest, Mike Schmidtberger
Mike Schmidtberger is Chairman & Partner and Head of Private Funds and Regulatory at Norm Law LLP, following more than 35 years at Sidley Austin LLP, where he served as Chair of the Executive Committee, Managing Partner of the New York office, and global co-leader of the Private Funds practice. A highly recognized authority on private funds, securities, and regulatory matters, Mike was named one of the Financial Times’ 50 innovators in law in 2026 for his work as a “Business Model Rebuilder.”
We know a transition needs to occur in terms of utilizing technology, but that efficiency is going to be disruptive.
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Mike, thank you so much for joining today.
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Ted, great to be with you.
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Yeah, I've been, uh, I've been
looking forward to this conversation.
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I knew I wanted you on as soon as
I read about, uh, Norm Law, and I
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think there are some really unique
characteristics about what you guys
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are doing, and that's been reflected
in the market and, um, the headlines.
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But before we jump in, um, if you
don't mind, why don't you tell our
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listeners a little bit about yourself
and how, how Norm Law came to be?
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Um, well, as for myself, um, I practiced,
uh, for 35 years at Sidley Austin, um,
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where I grew up as an investment funds
and asset management lawyer, um, and
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regulatory specialist in that space.
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Um, I eventually became, uh,
a group head, uh, in that
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practice, uh, for about 10 years.
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Um, and then while continuing to lead
that practice globally as it was growing,
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um, became the managing partner of
Sidley's New York office, uh, in 2011.
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Uh, I had that role through the
end of 2017, uh, when I was elected
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chair, uh, of the executive committee.
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And so I led the firm from January
of 2018 through April of 2025.
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Um, and my term was non-renewable, and I
stepped down, um, in accordance with our
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partnership agreement, uh, that April,
um, and, uh, was introduced, uh, to Norm
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AI and John Ney, um, by a mutual friend
who was on the advisory board of Norm AI.
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Um, and I was introduced, uh, shortly
after my retirement announcement went
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out, uh, at Thanksgiving of 2025.
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Um, and, uh, I ended up spending some time
with John, and then between Christmas and
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New Year's, I met with the rest of the
advisory board, uh, of Norm AI, um, and,
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uh, saw the company, I think the first
or second business day of January, and
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failed retirement after 11 days, uh, and
signed on to lead Nu- Norm Law, um, and
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to, uh, contribute as a senior, uh, legal
engineer at Norm AI Very interesting.
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Well, you mentioned your board.
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That was your advisory board.
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That was what caught my eye
when Norm was announced.
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You have a really kind of a who's
who in the regulatory space, even in
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the law firm and legal tech space.
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You've got, you know, former SEC
general counsel and CFTC commissioner,
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former CEO of Thomson Reuters, uh,
former partner at Cadwalader and King
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& Spalding, um, former superintendent of
the New York Department of Financial
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Services, and a former SEC commissioner.
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That is not your typical advisory board.
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Um, that-- As soon as I saw that
list, I said to myself, "This sounds
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different than what I've seen thus far
in the AI native space." And it feels
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like, um, uh, like a second generation.
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The first generation, I think,
of AI native firms had a fairly
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narrow focus, you know, a lot of
contract work, MSAs, DPAs, uh,
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quick turnaround times, low cost.
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And seeing that and then hearing
about your background coming to the
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firm, um, really made me feel like
this is kind of a second generation.
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Is, is that how you see it as well?
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Yeah, that's, that's right, Ted.
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Um, I, I think there is
a substantial difference.
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Um, I think one of the reasons that John
introduced me to the Flow advisory board
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is, um, he understood that my sitting down
with them, um, would shift a paradigm,
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um, around what either a startup law
firm might be or a startup AI native
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law firm might be, because as you point
out, these are very serious people.
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They've had really important, uh, policy
and governance roles around our financial
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markets, um, and sort of if you look
at what we do in this country, um,
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that supports our standard of living,
it's while we invent the world's new
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knowledge and specifically technology.
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But the other thing is we manage the
world's money, um, and, you know,
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our financial markets and their
regulation in that are critical.
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Um, and of course, you know, law firms,
uh, you know, play a big role in the
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transactions around, uh, those markets,
um, and the regulation of those markets.
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Um, and my time meeting with that,
uh, advisory board between Christmas
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and New Year's was just extraordinary.
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Um, you know, the conversations
were, you know, far into the future.
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Um, they were very much about, uh, the
role that, um, Norm Law could play in the
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financial markets, um, in representing
clients, uh, in those markets, um, and,
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you know, and a role at a level, as you
point out, very different from what AI
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native law firms had been focusing on.
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And they were doing a, a great job and
are doing a great job around what I would
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call, you know, vendor contract work
and other, you know, very automatable
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work, but where there isn't, you
know, a real depth of, you know, legal
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knowledge and experience required.
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Um And here I was spending all these ti-
this time with people that had tremendous,
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uh, depth and experience in that.
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And, you know, to hear a vision about an
AI firm that would practice law, you know,
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at those levels, um, really intrigued me.
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Um, and that's in fact what got me to
go see the company, as I said, on the
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first or second business day of January.
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And it, you know, walking through
those doors just really blew my mind.
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Um, and so in the space of, you know,
10 days, I have these extraordinary
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conversations with the advisory board,
and then I go see the company, and those
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two things together persuaded me that
this was the future of law, um, at, you
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know, a really different paradigm, um,
and in a way where, you know, you could
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do work faster at the same quality, more
economically, but really importantly,
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high value work, um, that you would
bring real intellectual, um, rigor and,
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uh, and development to the practice,
just like you would at any law firm,
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elite law firm, but now delivering
those services very differently.
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Yeah.
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So you and I got a chance to meet in
London at the Financial Times Summit,
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and I, um, really enjoyed th- your panel.
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We, uh, we had-- You were up there
with your investor, uh, one of your
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investors, which is Blackstone.
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And, you know, the, the message
was, I mean, you've got very se-
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you got a very serious, uh, board of
directors, um, extremely credible.
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Uh, you've got a very
serious, incredible cap table.
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You know, you've got you, who has a,
a very, um Prestigious background in
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big law, and it just paints a different
kind of picture than what we've seen.
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And I've been, uh, I've been in the
space for about 20 years, uh, primarily
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selling to law firms, but also, you
know, in the early days, I was in the
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trenches helping law firms with technology
initiatives and optimizing knowledge
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management and innovation processes.
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And, you know, they're slow movers,
and we're in a very fast-paced
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environment where the technology
is rapidly innovating, and it feels
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like law firms aren't keeping up.
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Um, I believe his name is, uh, I'm
gonna, I'm gonna miss the name.
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Steven Crowley from Ford.
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The, the GC at Ford published an article
on Bloomberg Law and said, "Law firms,
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you're not keeping up with us internally."
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So it feels like there's a
tension building between, um, the
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expectations of inside legal teams
in terms of tech-enabled legal
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service delivery and big law.
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And it seems like, you, you
can tell me if I'm wrong here,
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you're kind of filling that void.
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Is that an accurate way to frame it?
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I, I think that's fair.
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Um, I, I, I believe that Norm
Law exists for three reasons.
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The first is to do excellent
legal work and to do it faster
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and at the same level or better
quality, um, and more economically.
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The second reason we exist is to, um,
help educate, excite, um, in-house legal
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departments about, uh, AI tools that
they can use on a co-pilot basis and to
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become more AI forward, more productive.
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Um, and the third reason is,
frankly, to be used as a cudgel
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against legacy counsel's rates.
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Um, and i- if going into our meetings
with clients, uh, you know, uh, we come
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away with only two and three, we fail.
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But, you know, we are
there to do legal work.
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But you're exactly right.
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We are some-- we are something of, um, you
know, a step function forward in terms of
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the way legal service can be delivered.
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And I think general counsels, including
the general counsel of Ford, are
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taking note of those possibilities
and trying to drive change.
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It makes sense.
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So there's been, you know, a decade
plus of, of rate increases in the
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big law space, and I think there is
mount-- and record profits, right?
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I mean, Kirkland broke the ten billion
barrier and, you know, twelve billion in
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PPEP and things have never been better.
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Uh, these law firms are printing
money, and I think there's a little
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bit of innovator's dilemma taking hold
where it's kind of hard to disrupt
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and, you know, tell a room full of
millionaires, especially ones that have
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their retirement horizons in sight,
"Hey, we need to take partner capital
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and deploy it on changing this model
that is delivering record profits."
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Is that kind of how you
see the things as well?
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Well, I think innovator's dilemma
is the, the right frame, um,
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for the situation currently.
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We know a transition needs to occur, um,
in terms of utilizing technology because
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it is extraordinarily capable and has
become so much so-- more so recently.
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Um, but that efficiency, if it
reduces the hours of human labor,
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um, which is the model, the economic
model that drives Big Law, you know,
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that is going to be disruptive.
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Um, you know, they, they need to
keep-- Big Law needs to keep, um, its
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revenue model, uh, stable in order
to keep equity partners happy, uh,
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and in order to buy lateral practice
groups, which has become a real part
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of the strategy for a number of firms.
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Um, and they will struggle with passing
through the benefits of the, the economic
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benefits of more efficiency, um, if it
either lowers e-equity partner profits
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or reduces their lateral partner budget.
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Um, and so it is a dilemma, um, but they
are going to have to transition through
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because the technology is, has arrived, it
is utilizable, efficiencies are possible,
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and general counsels have noticed.
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Yeah, I did a post recently on some
of the sacred cows that must be
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slaughtered in Big Law to, as part of
this transformation, and they are, they
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are daunting to say the least, right?
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They're cornerstones of the industry, and
I'm gonna pull it up here and reference
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it, but it's, uh… What, what I'm most--
The biggest question in my mind is, is
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it What does this transition look like?
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So performance metrics, top
line metrics become much less
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useful in a, in a world of AFAs.
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The billable hour, which doesn't just
affect pricing, it affects compensation,
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staffing, partner track, KPIs the
firm measures themself against,
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the apprenticeship model, how they
value, recruit, train, and compensate
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and empower business professionals.
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Systems and data, law firm
data is typically a mess.
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Um, the cash basis profit sweep, where,
you know, you close out the books at
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the end of the year and there's not
much left for a capital investment.
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Um, client transparency, that's
one I'm, I'm hearing much
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more about on the GC side.
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So I get a lot of GCs and, uh, CLOs as
part of the podcast, and the message I'm
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getting is today they have very little
transparency into how technology's being
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used and even less transparency in how
that's gonna translate into more efficient
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de- uh, service delivery for them.
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Like, that seems like a big jump
where if you start with a clean slate,
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all of those really strong cultural
norms don't have to be redirected.
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It seems like a firm like Norm would
be at a huge advantage in that respect.
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Well, I, I, I think that's, that's right.
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Um, we do have a, a clean
slate on which to build.
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Uh, we aren't burdened by, uh,
tying to the billable hour.
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In fact, we don't at all.
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We- we're outcome-based in terms
of our pricing, uh, either by
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document or by transaction.
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Um, and, and so we do have, uh, I think,
uh, some agility available to us that,
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that maybe is, uh, gonna be part of
a transition or, you know, some deep
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thinking about strategy for, for big law.
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And big law, you know, the, the elite
firms are really good at a whole bunch
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of things and, in fact, the best in
the world at really sophisticated,
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complex, multidisciplinary work.
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But there's also a lot of work that needs
to be reexamined in terms of the value
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proposition, uh, offered to clients.
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And, you know, uh, I'm not gonna
advise big law, but they will have
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to go-- the different firms will have
to think about, you know, the things
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they're really and truly exceptional
at and the things that they just do.
201
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Um, and then there maybe there are things
that shouldn't be part of their offering
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any longer, and they'll have to adjust
through that, uh, as technology sort of
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changes, um, their capabilities, improves
their capabilities and efficiencies, um,
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and in fact, their ability to deliver
even more high-value work because
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they can be faster in integrating
these complex, uh, transactions
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or regulatory situations and that.
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So I think there's a real opportunity
for big law there, but you're correct.
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There are a whole bunch of sacred cows,
if you will, that they, you know, that
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law firm leaders are gonna have to go off
and consider, um, and that, you know, we
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are, uh, we're not in a position to have
to sort of, uh, reform our- ourselves.
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We can just move forward.
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00:17:19,903 --> 00:17:20,253
Yeah.
213
00:17:20,254 --> 00:17:24,424
What, what sort of reaction have you
gotten from your former colleagues,
214
00:17:24,424 --> 00:17:26,563
peers, the industry as a whole?
215
00:17:26,564 --> 00:17:34,533
Has it been, has it been positive, um,
or has it been, um, something else?
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00:17:36,214 --> 00:17:44,774
Um, I would say it's positive, um, and an
awful lot of interest in terms of how we
217
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are thinking about, um, uh, the practice
of law and the delivery of client service.
218
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And I, I've been willing to, and I
have spoken with many, uh, uh, big law
219
00:17:56,303 --> 00:18:01,533
leaders that I got to know during my
seven and a half years as the chair
220
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of the executive committee at Sidley.
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Um, and you know, by and large, they're
very, very interested in, um, how
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we're thinking about what we're doing.
223
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Um, and I'm happy to
talk to them about it.
224
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Um, most of them know, including my former
colleagues, that knowledge management
225
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and trying to understand what we knew,
who knew it, and where to find it, you
226
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know, was a, was a real driver of my
tenure, um, including eventually the, uh,
227
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legging into the Harvey pilot and that.
228
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So I think most folks that know
me, uh, understand that this has
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been a passion, uh, for a long
time, um, in terms of offering
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better, uh, value, um, and faster.
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Um, and so it's, uh, it's been
a lot of good conversation.
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Good.
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That, that's good to hear.
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00:18:55,343 --> 00:18:58,303
I mean, if you don't do it,
somebody's gonna do it, right?
235
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I mean, it's, it's not like,
um, Mike doesn't do this and
236
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the opportunity evaporates.
237
00:19:03,953 --> 00:19:05,493
Somebody's gonna fill this void.
238
00:19:06,703 --> 00:19:12,863
Well, the general counsels, as you pointed
out earlier, um, you know, frankly, uh,
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without any regard to norm law, um, have
noticed, uh, where their legal bills are,
240
00:19:21,793 --> 00:19:26,734
uh, particularly as I was saying, for the
high value but not highest value work.
241
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Um, and so this is really, uh, something
that it was gonna impact and in a way
242
00:19:34,473 --> 00:19:42,584
disrupt, uh, big law regardless of norm
law, but we, we are, um, certainly,
243
00:19:42,943 --> 00:19:53,273
um, a, a tangible, um, a tangible,
uh, you know, flag, uh, planted in the
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space of, okay, we need to talk about,
you know, what, what, what the value
245
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really is and what it-- and what the
cost is and are we in alignment Yeah,
246
00:20:03,690 --> 00:20:08,070
I don't know that there are official
definitions around these terms, but I
247
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think there's a general consensus, um,
around them, which is kind of bet the
248
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company versus operate the company.
249
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And if you hear estimates on what
the ratio is of work that gets
250
00:20:21,730 --> 00:20:25,540
sent to external legal counsel,
it's roughly eighty/twenty.
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Um, eighty being operate the company,
twenty being bet the company.
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00:20:30,470 --> 00:20:35,280
And there are, there are, there are
different takes on that, but from
253
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my just anecdotal observation, it
seems like most people land in that.
254
00:20:39,139 --> 00:20:49,629
H-how, how can Norm and other, or can
Norm and other AI legal firms compete
255
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with Big Law in the bet the company space?
256
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Not right now.
257
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Um, uh, I, I think again, um, you know,
the breadth of the most elite law firms
258
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in terms of, you know, their capabilities
in multiple jurisdictions with multiple
259
00:21:12,219 --> 00:21:19,779
regulatory schemes, uh, with various types
of transactions that can be hybridized to
260
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do something new, um, to take account of a
combination that's never been done before.
261
00:21:26,079 --> 00:21:32,350
No, those are things that are far
too human, um, at this point in time.
262
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Um, and, uh, it is where, again, um,
the innovation, um, and, uh, um, and
263
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expertise that elite law firms really in
the, in the US and UK bring, um, frankly
264
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affect the whole standard of living of
the, of the countries, the two countries.
265
00:21:55,609 --> 00:22:03,099
Um, and no, we-- the AI native law
firms, uh, aren't going to compete.
266
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Uh, and frankly, you know, what I
would call middle market law firms just
267
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because they have access to AI tools and
that aren't going to contend with the
268
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most elite firms for that work either.
269
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Um, there is just too much important human
experience, knowledge, and judgment, as
270
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well as, um, the ability to innovate, um,
that are housed i-in, in those practices.
271
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Yeah, that makes sense.
272
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So where, where can AI native
firms compete with Big Law?
273
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Well, in two different places,
and it depends, uh, on the talent
274
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that, uh, you know, is at the firm.
275
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And so, um, AI native firms can do
basic document work, um, and do it
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very well if, uh, there is a pretty
tight sandbox, uh, around that, uh,
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around that workflow, um, and you don't
need a lot of, you know, sophisticated
278
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lawyers, uh, or experienced lawyers.
279
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You know, that-- And we've seen that
proposition, you know, proved out already.
280
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Um, as you move up in the water column of
work from the most basic, you know, to,
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into what is really operate the company,
not just, um, status quo, um, but you
282
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move into transactions, financings, um,
uh, uh, investments, uh, more complex
283
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commercial arrangements and agreements.
284
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Um, you need human beings,
uh, real estate transactions.
285
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You need human beings that have
experience functioning, you
286
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know, at that level of practice.
287
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And ideally, and frankly what
we're doing at Norm Law, is we're
288
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overpowering that level of practice.
289
00:24:00,328 --> 00:24:05,687
We're bringing in market leading
lawyers that have seen the operate
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the company work day in and day
out for many years, but have also
291
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practiced at the highest levels.
292
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And so to sort of quip, um,
doing the operate the company
293
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work is like riding a bike.
294
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They've never forgotten.
295
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It's straightforward.
296
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They know how to do it.
297
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Um, and they're going to be able
to ensure that the quality that
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the clients are requiring, um, that
those quality standards are met.
299
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Uh, and so it really becomes
if you are utilizing AI,
300
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and I'd say whether it as a co-pilot,
meaning tools doing it better than
301
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you used to or native doing the
first pass of the work autonomously,
302
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the lawyers you have ultimately are
the differentiator, um, uh, in the
303
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value proposition that you can offer.
304
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And the more sophisticated the lawyers
you have, the more sophisticated work you
305
00:25:01,888 --> 00:25:06,418
can do for clients, and the more you can
take advantage of the efficiencies that
306
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AI offers if you're willing to pass those
through to the clients Yeah, interesting.
307
00:25:13,220 --> 00:25:16,129
You know, I think about, and
I've, I've said this before on
308
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the show, I think about this
transformation happening in waves.
309
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And the first wave, which Big Law
is squarely in, is the copilot,
310
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lowercase C copilot phase, right?
311
00:25:28,170 --> 00:25:35,090
Where, uh, you take a platform and
you pair it, it with an attorney who
312
00:25:35,479 --> 00:25:41,379
is largely doing work the way they
have for thirty years, and you get
313
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some incremental efficiency gains.
314
00:25:43,750 --> 00:25:49,849
I think wave two is going to be
the re-architecting of, of work and
315
00:25:49,899 --> 00:25:56,660
unbundling legal tasks, bringing in proper
process engineering discipline into the
316
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practice, and formally documenting and
evaluating how the work gets delivered.
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And then I think the third wave is
the agentic era, where this work gets
318
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automated to the largest extent possible,
and it feels like you're-- you guys are
319
00:26:15,709 --> 00:26:21,460
skipping wave one and two because, you
know, well, maybe you're jumping right
320
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into wave two, which is kind of the
re-architecting of how the work gets done.
321
00:26:26,639 --> 00:26:28,209
Does that-- is that a fair assessment?
322
00:26:29,209 --> 00:26:29,569
Yeah.
323
00:26:30,020 --> 00:26:31,109
So two and three.
324
00:26:31,399 --> 00:26:31,979
Um- Yes.
325
00:26:32,009 --> 00:26:38,040
We are re-architecting in the sense that,
um, we've moved past the copilot stage.
326
00:26:38,499 --> 00:26:45,909
Um, we are building reusable AI agents
that have skills, um, and those skills
327
00:26:45,909 --> 00:26:48,520
are around certain types of transactions.
328
00:26:49,060 --> 00:26:53,569
And we've built an architecture on
which the-- a software architecture
329
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on which those agents sit and are
callable, as if you would call certain
330
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associates with different expertises.
331
00:27:00,159 --> 00:27:07,209
On top of that, we've built agents
that have specialized knowledge
332
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around the client's precedents and
playbooks and predilections And
333
00:27:15,998 --> 00:27:23,548
essentially educated those agents to
do the work a-autonomously, but the
334
00:27:23,548 --> 00:27:28,907
way an associate that had been doing
that kind of transaction for that
335
00:27:28,908 --> 00:27:31,528
particular client for several years.
336
00:27:31,858 --> 00:27:36,248
And so we are in the two and three
in the sense we are re-architecting
337
00:27:36,257 --> 00:27:42,658
because the process, uh, uh, and,
uh, moving a document, moving flow,
338
00:27:42,907 --> 00:27:47,548
getting approvals, including through
the client, that's software, and we're
339
00:27:47,548 --> 00:27:51,557
doing that, but we're also building
these skills that are reusable.
340
00:27:51,568 --> 00:27:56,628
So unlike a copilot where you do your task
and then it kind of thrown away and you go
341
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do a task again, the agents that are built
with specific skill sets are permanent.
342
00:28:02,868 --> 00:28:03,778
They're available.
343
00:28:04,127 --> 00:28:07,007
They never quit, they never get
tired, they never have a bad day,
344
00:28:07,537 --> 00:28:13,927
um, and they are callable by more
senior lawyers to do these functions,
345
00:28:14,307 --> 00:28:17,807
um, or tasks, um, autonomously.
346
00:28:18,327 --> 00:28:28,957
Um, and so if a lawyer working with
copilot tools is two X, well, if that
347
00:28:28,957 --> 00:28:34,947
same transaction term sheet comes in
to a partner but drops a-automatically
348
00:28:34,948 --> 00:28:40,747
to an AI agent that has been trained to
do the suite of documents the way the
349
00:28:40,897 --> 00:28:46,717
particular client would require them and
subject to their preferences, it's already
350
00:28:46,717 --> 00:28:50,817
working in the background while the
partner is talking to the in-house team.
351
00:28:51,637 --> 00:28:54,747
That suite of documents will be
delivered somewhere between five and
352
00:28:54,798 --> 00:29:00,848
ten X faster than a lawyer working
with tools would be able to deliver it,
353
00:29:01,368 --> 00:29:03,878
and at the same level, uh, of quality.
354
00:29:04,368 --> 00:29:10,087
And that level is about a third-year
associate, and it's then ready for review.
355
00:29:10,857 --> 00:29:15,367
So we've moved up the first human
interaction with the document suite,
356
00:29:15,647 --> 00:29:19,718
whether it's the generation of documents
or it's commenting on someone else's.
357
00:29:20,097 --> 00:29:24,548
We've moved that level of human
interaction up to a more sophisticated
358
00:29:24,618 --> 00:29:31,457
point of sort of the mid to senior
associate or partner level, and that is
359
00:29:31,457 --> 00:29:39,066
dramatically more efficient You know,
um, one potential gap I, I see in the AI
360
00:29:39,256 --> 00:29:45,786
native strategy, and I don't think it's as
big a, a gap as people make it out to be.
361
00:29:46,236 --> 00:29:48,126
Um, I have a theory on data.
362
00:29:48,626 --> 00:29:54,676
So I think data is a necessary
component, but an insufficient one.
363
00:29:54,676 --> 00:29:57,996
In, in other words, there's a lot
of talk about data is the new oil.
364
00:29:58,466 --> 00:30:01,595
Uh, I don't, I don't think it--
data by itself creates a moat.
365
00:30:01,635 --> 00:30:08,336
I think what is going to create a moat for
law firms in particular is how they deploy
366
00:30:08,536 --> 00:30:16,115
tech, build learning loops, and then
package that into a go-to-market motion
367
00:30:16,315 --> 00:30:20,766
that aligns really well with client needs.
368
00:30:21,106 --> 00:30:22,796
I think that is gonna
be the differentiator.
369
00:30:22,796 --> 00:30:27,606
In other words, the incremental
value of, let's say, transactional
370
00:30:27,626 --> 00:30:31,766
data between Latham & Kirkland
isn't a dial mover, right?
371
00:30:31,766 --> 00:30:36,366
Kirkland's bigger, but it's-- once you
get to a certain critical mass of a
372
00:30:36,366 --> 00:30:43,076
data corpus, I think that any, you know,
uh, additional data that's acquired
373
00:30:43,095 --> 00:30:45,136
only provides an incremental gain.
374
00:30:45,136 --> 00:30:50,216
I really think that it's the p- the
packaging and the, the learning loops and
375
00:30:50,216 --> 00:30:56,386
how effectively firms capture and improve
knowledge and improve systems with it.
376
00:30:56,676 --> 00:31:00,635
Do you see it the same way, or do,
do you feel like, um, data- No.
377
00:31:00,635 --> 00:31:01,745
Yeah … is, is the new oil?
378
00:31:02,816 --> 00:31:03,386
No.
379
00:31:03,406 --> 00:31:11,096
Um, d- data, data is important, um, and
in the way we're thinking about it, the
380
00:31:11,096 --> 00:31:17,655
client's library, you know, is, uh, is
incredibly important in terms of, you
381
00:31:17,656 --> 00:31:25,065
know, working through, um, a specific,
uh, work stream, um, or transaction type.
382
00:31:25,415 --> 00:31:30,345
Um, but what's also important is what's
in the head of the client, uh, and
383
00:31:30,345 --> 00:31:32,415
the domain expertise of our partners.
384
00:31:32,735 --> 00:31:36,666
Um, and so data is a
very big component of it.
385
00:31:37,305 --> 00:31:44,515
I'm not sure generalized data is as
valuable, um, in terms of working with
386
00:31:44,595 --> 00:31:53,385
large institutions that have a history,
um, of transactions, um, or even in the
387
00:31:53,386 --> 00:31:59,705
dispute space, um, and have their own
in-in-house department that frankly,
388
00:31:59,715 --> 00:32:05,845
y-you know, is driving, uh, the strategy
or the pain points or the must-haves.
389
00:32:06,225 --> 00:32:11,305
Um, I'm, I'm not sure undifferentiated
data is all that, that helpful.
390
00:32:11,305 --> 00:32:19,885
I think what is helpful is the data that
is really useful to the client and really
391
00:32:19,886 --> 00:32:27,266
good project management and plumbing,
and a lot of that can be software.
392
00:32:27,676 --> 00:32:33,375
Um, but, uh, and, you know, so I
think, I think it is a combination,
393
00:32:33,375 --> 00:32:40,375
but I think just having more data, um,
i-is not necessarily, uh, you know,
394
00:32:40,415 --> 00:32:42,225
gonna create efficiencies for clients.
395
00:32:42,225 --> 00:32:47,456
And one example might be if I were
doing fund number four for a large
396
00:32:47,485 --> 00:32:52,005
private equity house, I really
don't need to boil the ocean in
397
00:32:52,005 --> 00:32:56,455
order to come up with the limited
partnership agreement for fund five.
398
00:32:56,955 --> 00:33:03,395
I really wanna look at fund four, and I
wanna look at all the investor asks that
399
00:33:03,395 --> 00:33:08,196
they put into side letters and things
that occurred during the operation of that
400
00:33:08,265 --> 00:33:16,190
partnership as I think about, okay, what
is the best design for fund five Taking
401
00:33:16,200 --> 00:33:20,350
those things into account, I really don't
need to know what everybody else has done
402
00:33:20,350 --> 00:33:23,879
with all their agreements and what other
investors have done with other funds.
403
00:33:24,740 --> 00:33:25,649
Not so much.
404
00:33:26,170 --> 00:33:31,330
Maybe, maybe that little increment lives
in the head of the human being, the
405
00:33:31,330 --> 00:33:34,129
partner, or the in-house legal department.
406
00:33:34,339 --> 00:33:36,030
So I agree with you.
407
00:33:36,810 --> 00:33:42,210
You need to think carefully about whether
or not i-in the way you're utilizing data,
408
00:33:42,540 --> 00:33:50,490
you're actually completing the client's
mission, or y-you're just adding a lot of
409
00:33:50,499 --> 00:33:59,952
time and effort and, you know, information
that doesn't really move the needle I
410
00:33:59,952 --> 00:34:02,691
think, yep, I, we're aligned on that.
411
00:34:02,952 --> 00:34:07,952
Um, there is a perception, and
I think it's a valid one in,
412
00:34:08,161 --> 00:34:13,541
from clients about Big Law, that
they are not customer-centric.
413
00:34:13,741 --> 00:34:19,442
And I'm sure there are some exceptions to
this, but in general, um, a- and to get
414
00:34:19,442 --> 00:34:25,562
specific a- about why they feel that way,
they feel there's a lack of transparency.
415
00:34:26,051 --> 00:34:31,461
They feel, they feel like there's a lack
of, hmm-- or they feel the relationship,
416
00:34:31,491 --> 00:34:35,001
I'll go the opposite direction,
is sometimes feels arm's length.
417
00:34:35,732 --> 00:34:44,812
Um, there's, uh, you know, a lack
of, um, customer needs considered
418
00:34:44,901 --> 00:34:49,771
when pricing models are developed.
419
00:34:50,061 --> 00:34:51,571
And I mean, there's real data on this.
420
00:34:51,572 --> 00:34:59,761
Deloitte had a study from, uh, June of
this year where they surveyed 121 inside
421
00:34:59,761 --> 00:35:07,191
legal leaders, and something like 65%
said that they have only had either an
422
00:35:07,191 --> 00:35:12,511
initial conversation or no conversation
at all about how AI is going to impact
423
00:35:12,511 --> 00:35:14,221
the economics of the relationship.
424
00:35:14,981 --> 00:35:21,191
And so I think Big Law has a lot of work
to do in making, putting the customers
425
00:35:21,222 --> 00:35:24,011
at the center of their thinking.
426
00:35:24,331 --> 00:35:29,762
Um, how are you approaching
this customer-centric matter?
427
00:35:31,142 --> 00:35:31,412
Right.
428
00:35:31,491 --> 00:35:38,571
So in terms of what we're doing at Norm
Law, w- we're getting the pricing out
429
00:35:38,572 --> 00:35:43,061
of the way right at the beginning by
charging on a flat rate per transaction
430
00:35:43,631 --> 00:35:50,611
or, uh, per document, and that, um,
we're not talking about pricing and, you
431
00:35:50,612 --> 00:35:54,312
know, phone calls that relate to the work
stream and that we don't charge for them.
432
00:35:54,711 --> 00:36:01,341
It's all part of the cost, and so we
can move immediately to, okay, what
433
00:36:01,341 --> 00:36:10,352
is the work and how do we get it done
fast, efficiently, expertly, and how
434
00:36:10,352 --> 00:36:15,881
do we work with the in-house department
to make that happen collaboratively?
435
00:36:16,331 --> 00:36:21,141
Um, and, and that's a very
important part of our model.
436
00:36:21,572 --> 00:36:27,731
In order to improve the performance of
the AI agent, it needs to be informed.
437
00:36:27,851 --> 00:36:33,271
It needs to be informed by the drafts
that the lawyers at Norm Law exchange
438
00:36:33,271 --> 00:36:39,390
with the counterparties The comments
that come from in-house review of our
439
00:36:39,390 --> 00:36:45,220
work, um, and conversations that happen
between the partner and the in-house team,
440
00:36:45,220 --> 00:36:47,170
and that has to be fed into the agent.
441
00:36:47,690 --> 00:36:54,359
So it's in our interest to spend
more time talking to the client and
442
00:36:54,359 --> 00:36:59,059
making sure that we're updating the
agent, and we don't wanna put, put a
443
00:36:59,060 --> 00:37:04,849
disincentive around that improvement
in performance by saying, "Well, we're
444
00:37:04,849 --> 00:37:06,840
gonna charge you for that conversation."
445
00:37:07,310 --> 00:37:15,350
So I think we've tried to construct our
way of working i-i- so that we create
446
00:37:15,359 --> 00:37:20,949
the most value, uh, and efficiency
and improvement in the AI agent
447
00:37:20,970 --> 00:37:24,779
performance as the work streams progress.
448
00:37:25,359 --> 00:37:31,049
Um, in terms of big law, what I would
say about it is, yes, there's been a
449
00:37:31,049 --> 00:37:36,219
pull apart between the lawyers and the
clients, and a lot of it relates to the
450
00:37:36,220 --> 00:37:42,939
rate raises over the last decade that,
you know, frankly went previously from
451
00:37:42,949 --> 00:37:46,199
three to five percent to nine to 14%.
452
00:37:46,939 --> 00:37:53,340
And with that, you saw the advent of
procurement departments at clients.
453
00:37:53,979 --> 00:37:58,000
Procurement departments didn't
exist, you know, 15, 20 years ago.
454
00:37:58,499 --> 00:38:03,419
They were a response to pricing pressures.
455
00:38:03,949 --> 00:38:11,929
And, you know, that dynamic is not one of
alignment or certainly strains alignment.
456
00:38:12,859 --> 00:38:17,009
Now, what I would say about the
lawyers at big law, frankly,
457
00:38:17,009 --> 00:38:22,549
but this pertains generally with
lawyers, is they are client-driven.
458
00:38:23,119 --> 00:38:30,830
Um, they came into the profession because
they wanted to be in service to clients.
459
00:38:31,170 --> 00:38:35,569
They wanted to be valued for their
expertise and their responsiveness.
460
00:38:35,999 --> 00:38:41,959
Um, and, you know, the, some of
the operating elements, um, at
461
00:38:41,979 --> 00:38:47,989
clients and at big law have gotten
in the way of those relationships.
462
00:38:48,429 --> 00:38:53,760
And, you know, it might be one of those
times where at least with some firms
463
00:38:53,760 --> 00:39:00,139
and some clients, they both disarm,
um, and, uh, you know, can realign.
464
00:39:00,580 --> 00:39:03,380
Um, and maybe that's with some of
these transac- transitions, you know,
465
00:39:05,429 --> 00:39:08,729
we'll see some of that, um, you know, TBD.
466
00:39:09,868 --> 00:39:12,598
I went to a, uh, I go
to a lot of conferences.
467
00:39:12,598 --> 00:39:16,898
I'm at about fourteen, fifteen a year,
and last year I went to my first pricing
468
00:39:16,898 --> 00:39:22,867
conference, and it was a panel of
GCs and all the pricing professionals
469
00:39:22,868 --> 00:39:27,198
at law firms in the audience, and I
thought a fistfight was gonna break out.
470
00:39:28,397 --> 00:39:32,777
It was super entertaining, um,
to hear, and they were very
471
00:39:32,777 --> 00:39:35,418
candid that, um, on both sides.
472
00:39:35,787 --> 00:39:41,217
You know, the GCs were basically
saying, "Look, this, this trajectory
473
00:39:41,267 --> 00:39:48,157
of rates is unsustainable, and, you
know, we, we-- what we want is, like,
474
00:39:48,917 --> 00:39:55,297
more predictable predictability around,
you know, rate increases for hourly
475
00:39:55,297 --> 00:40:00,638
work, but also a much higher percentage
of alternative fee arrangements."
476
00:40:01,187 --> 00:40:04,857
And then on the, on the pr- the pricing
professional side, they, they-- there was
477
00:40:04,858 --> 00:40:07,047
a lot of what sounded like valid pushback.
478
00:40:07,047 --> 00:40:12,647
Like, "Hey, look, fixed price requires
fixed scope, and you can't fix scope
479
00:40:12,777 --> 00:40:16,697
around… It's very difficult to do
around a big category of legal work."
480
00:40:17,147 --> 00:40:23,127
And, um, you know, so there's the, uh--
But the tension was palpable in that
481
00:40:23,128 --> 00:40:28,268
room, and it, it ended up, I saw, I
stuck around afterwards, ev- you know,
482
00:40:28,268 --> 00:40:32,897
a lot of friendly conversations, but
that was a really heated dialogue, and
483
00:40:32,957 --> 00:40:38,397
it-- I think it captures the disconnect
today between inside legal team, what
484
00:40:38,707 --> 00:40:43,167
inside legal teams want and what external
legal providers are, are offering.
485
00:40:43,167 --> 00:40:46,517
And I'm not saying who's at fault
there because I think there's plenty
486
00:40:46,547 --> 00:40:51,137
on both sides, but, um, it seems
like you're kind of filling s-some
487
00:40:51,137 --> 00:40:54,372
of that void Well, that's right.
488
00:40:54,532 --> 00:40:59,662
Um, and, and to your point, um, you
know, look, when I see kickoff meetings
489
00:40:59,662 --> 00:41:04,572
on transactions, you know, for, for the
last, you know, my, my years of practice
490
00:41:04,572 --> 00:41:09,692
in that, um, or other get-togethers
between the lawyers and the clients, um,
491
00:41:10,262 --> 00:41:16,152
you see the relationships and you see
how much the clients value the work that
492
00:41:16,152 --> 00:41:21,531
the lawyers do, um, their responsiveness,
you know, e- even, you know, their
493
00:41:21,531 --> 00:41:24,312
character, um, and personalities.
494
00:41:24,371 --> 00:41:28,572
That there's a reason there's a fit
between their lawyers and their clients.
495
00:41:29,032 --> 00:41:34,131
It's the pricing, the billing, and the
collecting that gets in the way of that.
496
00:41:34,602 --> 00:41:38,881
Um, and we've tried to just
take that off the table.
497
00:41:39,361 --> 00:41:44,542
Um, and, uh, I, I think, you know,
that puts us in a healthier place where
498
00:41:44,731 --> 00:41:50,382
we can concentrate on, you know, what
it is that is bringing us together.
499
00:41:50,391 --> 00:41:56,032
What is the mission that we collectively
are going to embark on and accomplish?
500
00:41:56,422 --> 00:42:02,362
Um, and we're not talking about, um,
what each increment is gonna cost.
501
00:42:02,381 --> 00:42:10,162
Now, to your point, you know, you need
to have trust, um, and transparency
502
00:42:10,221 --> 00:42:15,282
so that we can get that pricing
correct and then get it off the table.
503
00:42:15,631 --> 00:42:23,232
Um, and, um, I, I, I think that is
possible , um, you know, but you need
504
00:42:23,232 --> 00:42:29,752
to have transparency and trust and
commitment, um, to the longer term.
505
00:42:29,992 --> 00:42:33,491
I'm not gonna take advantage of
you today because you're gonna need
506
00:42:33,492 --> 00:42:36,292
me again tomorrow, and vice versa.
507
00:42:36,901 --> 00:42:44,822
Um, but, you know, we're a long way
from getting back to, um, nirvana.
508
00:42:45,471 --> 00:42:45,891
Yeah.
509
00:42:45,922 --> 00:42:51,841
How, how is Norm managing the
unpredictability that's inherent in some
510
00:42:51,852 --> 00:42:56,512
legal work when you're You know, going
through your pricing strategy- Yeah
511
00:42:56,522 --> 00:42:57,542
how do you think about that?
512
00:42:58,542 --> 00:43:02,681
Yeah, and a- and again, um, well, and,
and here, you know, there's a bit of
513
00:43:02,682 --> 00:43:08,431
an unfairness in, in, uh, the, the
commentary in the sense that we are not
514
00:43:08,432 --> 00:43:13,751
doing the highest value work that is
the most complex and the most unique,
515
00:43:13,802 --> 00:43:20,301
um, and iterative on, uh, you know,
prior, uh, uh, prior knowledge and that.
516
00:43:20,312 --> 00:43:23,651
And so, um, it is more predictable.
517
00:43:24,222 --> 00:43:28,232
Um, it's high value, it's
important, and there can be a range.
518
00:43:29,001 --> 00:43:34,742
But our view of that is that we're--
if we have a commitment with a client
519
00:43:35,102 --> 00:43:40,631
to do multiple transactions, it's worth
our investment, um, it's worth training
520
00:43:40,641 --> 00:43:43,372
the agent, and we can price that.
521
00:43:43,372 --> 00:43:46,452
And if one transaction
takes longer, so be it.
522
00:43:46,821 --> 00:43:48,841
If one is shorter, so be it.
523
00:43:49,271 --> 00:43:54,872
But we basically index to the client's
average cost, and we accept that.
524
00:43:55,391 --> 00:44:00,511
Um, and we aren't looking to pick up, you
know, nickels in front of a steamroller.
525
00:44:01,152 --> 00:44:01,562
Yeah.
526
00:44:02,171 --> 00:44:08,792
And, um, I think that there is, there
have been unhealthy dynamics on the inside
527
00:44:09,222 --> 00:44:15,781
legal realm as well, like shadow billing,
you know, where, "Hey, I want a fixed
528
00:44:15,791 --> 00:44:17,941
price, but I also wanna see your hours."
529
00:44:18,501 --> 00:44:22,011
And, or- Right … or asking
for, like, does not exceeds.
530
00:44:22,411 --> 00:44:25,572
You know, I-- we're a service provider,
we're a product company, but for
531
00:44:25,582 --> 00:44:31,561
f- 14 years, from '08 to 2022, we
were consultants, and we would get
532
00:44:31,561 --> 00:44:36,810
approached and be asked to deliver
Uh, fixed price engagements and
533
00:44:36,819 --> 00:44:39,710
the default was does not exceeds.
534
00:44:40,140 --> 00:44:43,340
And that is the worst possible
scenario for a service provider
535
00:44:43,340 --> 00:44:44,690
because there's no upside.
536
00:44:44,819 --> 00:44:52,579
It's if, if I'm, if I beat the estimate,
I, I lose revenue, and if I go over,
537
00:44:52,629 --> 00:44:54,889
I lose because I'm eating hours.
538
00:44:55,170 --> 00:45:00,450
So- Right … you know, um, h-how,
how- Yeah, so we're not doing that.
539
00:45:00,450 --> 00:45:00,519
Yeah.
540
00:45:00,519 --> 00:45:04,619
Yeah, we're not doing the, the, you
know, the, the caps and things like that.
541
00:45:04,639 --> 00:45:10,709
It's just a straight cost, um, and,
uh, and, and build a relationship,
542
00:45:10,719 --> 00:45:12,390
meaning we wanna have conversations.
543
00:45:12,390 --> 00:45:14,449
Conversations use up human time.
544
00:45:14,959 --> 00:45:16,179
Human time is finite.
545
00:45:16,569 --> 00:45:20,819
Um, so we need an understanding
with the clients that we're gonna
546
00:45:20,819 --> 00:45:26,579
work together, you know, in good
faith on this mission, um, and we're
547
00:45:26,580 --> 00:45:31,749
gonna have to have conversations
if that starts not to be the case.
548
00:45:32,139 --> 00:45:37,769
But, you know, we also, you know, spend
a fair amount of time scoping and doing
549
00:45:37,769 --> 00:45:41,769
project management upfront so that
we all understand what we're doing.
550
00:45:42,160 --> 00:45:51,390
Um, but really, it's to no one's benefit
when, um, the parties aren't, uh,
551
00:45:51,410 --> 00:45:56,350
don't have an understanding, uh, of one
another and aren't willing, you know,
552
00:45:56,350 --> 00:45:58,950
to engage in sort of a mutual journey.
553
00:45:59,319 --> 00:46:06,769
You know, the adversarial advantage
from one to another really doesn't,
554
00:46:06,919 --> 00:46:13,160
doesn't work for the client, and it, it,
that is not a good way for an in-house
555
00:46:13,199 --> 00:46:17,899
department to behave, and it doesn't
work for outside counsel, and it's
556
00:46:17,909 --> 00:46:24,399
not a good way to foster the long-term
relationship that Big Law depends on.
557
00:46:24,679 --> 00:46:31,170
So there is a way to, through, again,
transparent conversation, you know,
558
00:46:31,170 --> 00:46:37,020
to get there, but both sides have
to be willing to, you know, engage
559
00:46:37,049 --> 00:46:43,829
and be honest about, you know, what
they're doing, what the value really
560
00:46:43,830 --> 00:46:48,450
is, and what the cost really should
be, and how it's going to be staffed
561
00:46:48,520 --> 00:46:54,749
to make sure you meet that quality,
um, and how it's gonna be supported
562
00:46:54,770 --> 00:47:00,849
internally, um, so that everybody
comes out where, you know, they expect.
563
00:47:01,109 --> 00:47:05,370
Or in the words of Yogi Berra, you
know, "If you don't know where you're
564
00:47:05,370 --> 00:47:10,760
going, you wind up somewhere else."
And that's not good for anybody.
565
00:47:11,559 --> 00:47:15,220
That's a great quote, and we're out
of time, so we'll, we'll end on that
566
00:47:15,229 --> 00:47:17,410
because I love Yogi Berra quotes.
567
00:47:17,819 --> 00:47:21,140
Um, well, it's been an absolute
pleasure to have you on.
568
00:47:21,149 --> 00:47:26,120
Mike, how do people find out more about
y- you know, you and, and Norm Law?
569
00:47:27,648 --> 00:47:28,518
Well, we're you--
570
00:47:30,998 --> 00:47:36,928
normlaw, uh, .com and, uh, Norm AI,
um, and, uh, we're, we're out there.
571
00:47:37,098 --> 00:47:41,798
Um, we're easily findable on
the worldwide web of knowledge.
572
00:47:42,248 --> 00:47:42,778
Awesome.
573
00:47:42,837 --> 00:47:46,387
And we'll include some links- It's been
a pleasure … links in the show notes.
574
00:47:46,387 --> 00:47:47,828
It-- Yeah, the pleasure's been mine.
575
00:47:47,828 --> 00:47:51,048
I've been looking forward to this
podcast for, for quite some time.
576
00:47:51,048 --> 00:47:54,298
So thank you so much for
taking time out of your day.
577
00:47:54,298 --> 00:47:58,947
I know you're very busy and, um, I hope to
bump into you at a conference again soon.
578
00:48:00,048 --> 00:48:00,688
Look forward to it.
579
00:48:01,028 --> 00:48:01,357
All right.
580
00:48:01,357 --> 00:48:01,608
Bye-bye.
581
00:48:01,618 --> 00:48:02,167
Thanks, Mike.
582
00:48:02,217 --> 00:48:04,487
Thanks for listening to
Legal Innovation Spotlight.
583
00:48:05,017 --> 00:48:08,487
If you found value in this chat, hit
the subscribe button to be notified
584
00:48:08,487 --> 00:48:09,847
when we release new episodes.
585
00:48:10,487 --> 00:48:13,177
We'd also really appreciate it if
you could take a moment to rate
586
00:48:13,177 --> 00:48:15,797
us and leave us a review wherever
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587
00:48:16,397 --> 00:48:19,047
Your feedback helps us provide
you with top-notch content.
00:00:02,618
Mike, thank you so much for joining today.
2
00:00:03,988 --> 00:00:05,188
Ted, great to be with you.
3
00:00:06,188 --> 00:00:09,758
Yeah, I've been, uh, I've been
looking forward to this conversation.
4
00:00:09,838 --> 00:00:14,957
I knew I wanted you on as soon as
I read about, uh, Norm Law, and I
5
00:00:14,978 --> 00:00:18,837
think there are some really unique
characteristics about what you guys
6
00:00:18,838 --> 00:00:24,578
are doing, and that's been reflected
in the market and, um, the headlines.
7
00:00:25,148 --> 00:00:29,807
But before we jump in, um, if you
don't mind, why don't you tell our
8
00:00:29,808 --> 00:00:33,917
listeners a little bit about yourself
and how, how Norm Law came to be?
9
00:00:35,948 --> 00:00:45,208
Um, well, as for myself, um, I practiced,
uh, for 35 years at Sidley Austin, um,
10
00:00:45,238 --> 00:00:51,268
where I grew up as an investment funds
and asset management lawyer, um, and
11
00:00:51,268 --> 00:00:53,918
regulatory specialist in that space.
12
00:00:54,358 --> 00:01:00,358
Um, I eventually became, uh,
a group head, uh, in that
13
00:01:00,358 --> 00:01:03,278
practice, uh, for about 10 years.
14
00:01:03,598 --> 00:01:08,268
Um, and then while continuing to lead
that practice globally as it was growing,
15
00:01:08,717 --> 00:01:15,527
um, became the managing partner of
Sidley's New York office, uh, in 2011.
16
00:01:16,078 --> 00:01:22,217
Uh, I had that role through the
end of 2017, uh, when I was elected
17
00:01:22,217 --> 00:01:24,868
chair, uh, of the executive committee.
18
00:01:24,877 --> 00:01:32,357
And so I led the firm from January
of 2018 through April of 2025.
19
00:01:32,837 --> 00:01:39,358
Um, and my term was non-renewable, and I
stepped down, um, in accordance with our
20
00:01:39,358 --> 00:01:49,018
partnership agreement, uh, that April,
um, and, uh, was introduced, uh, to Norm
21
00:01:49,018 --> 00:01:56,947
AI and John Ney, um, by a mutual friend
who was on the advisory board of Norm AI.
22
00:01:57,627 --> 00:02:04,857
Um, and I was introduced, uh, shortly
after my retirement announcement went
23
00:02:04,857 --> 00:02:07,877
out, uh, at Thanksgiving of 2025.
24
00:02:09,607 --> 00:02:18,167
Um, and, uh, I ended up spending some time
with John, and then between Christmas and
25
00:02:18,227 --> 00:02:26,957
New Year's, I met with the rest of the
advisory board, uh, of Norm AI, um, and,
26
00:02:27,187 --> 00:02:33,077
uh, saw the company, I think the first
or second business day of January, and
27
00:02:33,137 --> 00:02:41,018
failed retirement after 11 days, uh, and
signed on to lead Nu- Norm Law, um, and
28
00:02:41,018 --> 00:02:48,670
to, uh, contribute as a senior, uh, legal
engineer at Norm AI Very interesting.
29
00:02:48,690 --> 00:02:49,900
Well, you mentioned your board.
30
00:02:49,910 --> 00:02:51,590
That was your advisory board.
31
00:02:51,600 --> 00:02:56,180
That was what caught my eye
when Norm was announced.
32
00:02:56,549 --> 00:03:02,620
You have a really kind of a who's
who in the regulatory space, even in
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the law firm and legal tech space.
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You've got, you know, former SEC
general counsel and CFTC commissioner,
35
00:03:10,809 --> 00:03:16,170
former CEO of Thomson Reuters, uh,
former partner at Cadwalader and King
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00:03:16,170 --> 00:03:20,850
& Spalding, um, former superintendent of
the New York Department of Financial
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00:03:20,850 --> 00:03:23,809
Services, and a former SEC commissioner.
38
00:03:24,240 --> 00:03:26,679
That is not your typical advisory board.
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00:03:27,040 --> 00:03:34,999
Um, that-- As soon as I saw that
list, I said to myself, "This sounds
40
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different than what I've seen thus far
in the AI native space." And it feels
41
00:03:40,819 --> 00:03:44,459
like, um, uh, like a second generation.
42
00:03:44,519 --> 00:03:49,029
The first generation, I think,
of AI native firms had a fairly
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narrow focus, you know, a lot of
contract work, MSAs, DPAs, uh,
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00:03:55,690 --> 00:03:57,629
quick turnaround times, low cost.
45
00:03:58,290 --> 00:04:03,539
And seeing that and then hearing
about your background coming to the
46
00:04:03,540 --> 00:04:08,729
firm, um, really made me feel like
this is kind of a second generation.
47
00:04:09,099 --> 00:04:11,080
Is, is that how you see it as well?
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00:04:12,142 --> 00:04:13,542
Yeah, that's, that's right, Ted.
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Um, I, I think there is
a substantial difference.
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Um, I think one of the reasons that John
introduced me to the Flow advisory board
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is, um, he understood that my sitting down
with them, um, would shift a paradigm,
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um, around what either a startup law
firm might be or a startup AI native
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law firm might be, because as you point
out, these are very serious people.
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They've had really important, uh, policy
and governance roles around our financial
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markets, um, and sort of if you look
at what we do in this country, um,
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that supports our standard of living,
it's while we invent the world's new
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knowledge and specifically technology.
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But the other thing is we manage the
world's money, um, and, you know,
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our financial markets and their
regulation in that are critical.
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00:05:12,471 --> 00:05:18,671
Um, and of course, you know, law firms,
uh, you know, play a big role in the
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transactions around, uh, those markets,
um, and the regulation of those markets.
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Um, and my time meeting with that,
uh, advisory board between Christmas
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and New Year's was just extraordinary.
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Um, you know, the conversations
were, you know, far into the future.
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Um, they were very much about, uh, the
role that, um, Norm Law could play in the
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financial markets, um, in representing
clients, uh, in those markets, um, and,
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you know, and a role at a level, as you
point out, very different from what AI
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native law firms had been focusing on.
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And they were doing a, a great job and
are doing a great job around what I would
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call, you know, vendor contract work
and other, you know, very automatable
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work, but where there isn't, you
know, a real depth of, you know, legal
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knowledge and experience required.
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Um And here I was spending all these ti-
this time with people that had tremendous,
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uh, depth and experience in that.
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00:06:29,623 --> 00:06:36,974
And, you know, to hear a vision about an
AI firm that would practice law, you know,
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at those levels, um, really intrigued me.
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Um, and that's in fact what got me to
go see the company, as I said, on the
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first or second business day of January.
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And it, you know, walking through
those doors just really blew my mind.
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Um, and so in the space of, you know,
10 days, I have these extraordinary
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conversations with the advisory board,
and then I go see the company, and those
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two things together persuaded me that
this was the future of law, um, at, you
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know, a really different paradigm, um,
and in a way where, you know, you could
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do work faster at the same quality, more
economically, but really importantly,
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high value work, um, that you would
bring real intellectual, um, rigor and,
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00:07:34,424 --> 00:07:41,773
uh, and development to the practice,
just like you would at any law firm,
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elite law firm, but now delivering
those services very differently.
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Yeah.
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00:07:47,174 --> 00:07:50,823
So you and I got a chance to meet in
London at the Financial Times Summit,
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and I, um, really enjoyed th- your panel.
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00:07:57,064 --> 00:08:01,884
We, uh, we had-- You were up there
with your investor, uh, one of your
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investors, which is Blackstone.
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And, you know, the, the message
was, I mean, you've got very se-
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you got a very serious, uh, board of
directors, um, extremely credible.
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00:08:13,533 --> 00:08:18,294
Uh, you've got a very
serious, incredible cap table.
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You know, you've got you, who has a,
a very, um Prestigious background in
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big law, and it just paints a different
kind of picture than what we've seen.
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00:08:32,765 --> 00:08:37,566
And I've been, uh, I've been in the
space for about 20 years, uh, primarily
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00:08:37,566 --> 00:08:41,535
selling to law firms, but also, you
know, in the early days, I was in the
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trenches helping law firms with technology
initiatives and optimizing knowledge
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management and innovation processes.
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And, you know, they're slow movers,
and we're in a very fast-paced
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environment where the technology
is rapidly innovating, and it feels
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like law firms aren't keeping up.
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00:09:02,335 --> 00:09:06,536
Um, I believe his name is, uh, I'm
gonna, I'm gonna miss the name.
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00:09:06,566 --> 00:09:08,406
Steven Crowley from Ford.
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00:09:09,005 --> 00:09:12,935
The, the GC at Ford published an article
on Bloomberg Law and said, "Law firms,
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00:09:12,936 --> 00:09:15,455
you're not keeping up with us internally."
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00:09:15,695 --> 00:09:19,945
So it feels like there's a
tension building between, um, the
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expectations of inside legal teams
in terms of tech-enabled legal
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service delivery and big law.
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00:09:26,616 --> 00:09:30,706
And it seems like, you, you
can tell me if I'm wrong here,
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you're kind of filling that void.
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Is that an accurate way to frame it?
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I, I think that's fair.
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00:09:37,864 --> 00:09:43,644
Um, I, I, I believe that Norm
Law exists for three reasons.
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The first is to do excellent
legal work and to do it faster
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and at the same level or better
quality, um, and more economically.
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00:09:54,273 --> 00:10:02,083
The second reason we exist is to, um,
help educate, excite, um, in-house legal
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departments about, uh, AI tools that
they can use on a co-pilot basis and to
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become more AI forward, more productive.
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Um, and the third reason is,
frankly, to be used as a cudgel
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against legacy counsel's rates.
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Um, and i- if going into our meetings
with clients, uh, you know, uh, we come
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away with only two and three, we fail.
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But, you know, we are
there to do legal work.
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But you're exactly right.
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We are some-- we are something of, um, you
know, a step function forward in terms of
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the way legal service can be delivered.
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00:10:45,523 --> 00:10:50,504
And I think general counsels, including
the general counsel of Ford, are
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taking note of those possibilities
and trying to drive change.
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It makes sense.
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So there's been, you know, a decade
plus of, of rate increases in the
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big law space, and I think there is
mount-- and record profits, right?
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00:11:07,593 --> 00:11:13,264
I mean, Kirkland broke the ten billion
barrier and, you know, twelve billion in
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00:11:13,433 --> 00:11:16,704
PPEP and things have never been better.
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Uh, these law firms are printing
money, and I think there's a little
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bit of innovator's dilemma taking hold
where it's kind of hard to disrupt
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00:11:26,314 --> 00:11:30,163
and, you know, tell a room full of
millionaires, especially ones that have
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00:11:30,163 --> 00:11:34,963
their retirement horizons in sight,
"Hey, we need to take partner capital
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00:11:35,003 --> 00:11:39,893
and deploy it on changing this model
that is delivering record profits."
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00:11:40,153 --> 00:11:43,283
Is that kind of how you
see the things as well?
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00:11:44,536 --> 00:11:48,555
Well, I think innovator's dilemma
is the, the right frame, um,
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for the situation currently.
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00:11:51,606 --> 00:11:58,085
We know a transition needs to occur, um,
in terms of utilizing technology because
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it is extraordinarily capable and has
become so much so-- more so recently.
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00:12:04,555 --> 00:12:10,505
Um, but that efficiency, if it
reduces the hours of human labor,
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um, which is the model, the economic
model that drives Big Law, you know,
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that is going to be disruptive.
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00:12:19,006 --> 00:12:24,175
Um, you know, they, they need to
keep-- Big Law needs to keep, um, its
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revenue model, uh, stable in order
to keep equity partners happy, uh,
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and in order to buy lateral practice
groups, which has become a real part
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of the strategy for a number of firms.
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Um, and they will struggle with passing
through the benefits of the, the economic
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benefits of more efficiency, um, if it
either lowers e-equity partner profits
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or reduces their lateral partner budget.
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Um, and so it is a dilemma, um, but they
are going to have to transition through
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because the technology is, has arrived, it
is utilizable, efficiencies are possible,
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and general counsels have noticed.
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00:13:14,465 --> 00:13:21,245
Yeah, I did a post recently on some
of the sacred cows that must be
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slaughtered in Big Law to, as part of
this transformation, and they are, they
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are daunting to say the least, right?
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They're cornerstones of the industry, and
I'm gonna pull it up here and reference
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it, but it's, uh… What, what I'm most--
The biggest question in my mind is, is
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it What does this transition look like?
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So performance metrics, top
line metrics become much less
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useful in a, in a world of AFAs.
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The billable hour, which doesn't just
affect pricing, it affects compensation,
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staffing, partner track, KPIs the
firm measures themself against,
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00:14:00,612 --> 00:14:05,411
the apprenticeship model, how they
value, recruit, train, and compensate
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and empower business professionals.
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Systems and data, law firm
data is typically a mess.
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Um, the cash basis profit sweep, where,
you know, you close out the books at
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the end of the year and there's not
much left for a capital investment.
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Um, client transparency, that's
one I'm, I'm hearing much
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more about on the GC side.
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So I get a lot of GCs and, uh, CLOs as
part of the podcast, and the message I'm
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getting is today they have very little
transparency into how technology's being
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used and even less transparency in how
that's gonna translate into more efficient
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de- uh, service delivery for them.
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Like, that seems like a big jump
where if you start with a clean slate,
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all of those really strong cultural
norms don't have to be redirected.
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It seems like a firm like Norm would
be at a huge advantage in that respect.
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Well, I, I, I think that's, that's right.
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Um, we do have a, a clean
slate on which to build.
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Uh, we aren't burdened by, uh,
tying to the billable hour.
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In fact, we don't at all.
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We- we're outcome-based in terms
of our pricing, uh, either by
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document or by transaction.
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Um, and, and so we do have, uh, I think,
uh, some agility available to us that,
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00:15:32,163 --> 00:15:38,413
that maybe is, uh, gonna be part of
a transition or, you know, some deep
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thinking about strategy for, for big law.
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00:15:41,473 --> 00:15:47,564
And big law, you know, the, the elite
firms are really good at a whole bunch
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of things and, in fact, the best in
the world at really sophisticated,
195
00:15:53,483 --> 00:15:56,373
complex, multidisciplinary work.
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But there's also a lot of work that needs
to be reexamined in terms of the value
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proposition, uh, offered to clients.
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00:16:05,343 --> 00:16:09,834
And, you know, uh, I'm not gonna
advise big law, but they will have
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to go-- the different firms will have
to think about, you know, the things
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they're really and truly exceptional
at and the things that they just do.
201
00:16:19,833 --> 00:16:25,213
Um, and then there maybe there are things
that shouldn't be part of their offering
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any longer, and they'll have to adjust
through that, uh, as technology sort of
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00:16:32,244 --> 00:16:39,823
changes, um, their capabilities, improves
their capabilities and efficiencies, um,
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and in fact, their ability to deliver
even more high-value work because
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they can be faster in integrating
these complex, uh, transactions
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or regulatory situations and that.
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00:16:54,674 --> 00:16:59,524
So I think there's a real opportunity
for big law there, but you're correct.
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There are a whole bunch of sacred cows,
if you will, that they, you know, that
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00:17:05,793 --> 00:17:11,273
law firm leaders are gonna have to go off
and consider, um, and that, you know, we
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are, uh, we're not in a position to have
to sort of, uh, reform our- ourselves.
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We can just move forward.
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00:17:19,903 --> 00:17:20,253
Yeah.
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00:17:20,254 --> 00:17:24,424
What, what sort of reaction have you
gotten from your former colleagues,
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00:17:24,424 --> 00:17:26,563
peers, the industry as a whole?
215
00:17:26,564 --> 00:17:34,533
Has it been, has it been positive, um,
or has it been, um, something else?
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00:17:36,214 --> 00:17:44,774
Um, I would say it's positive, um, and an
awful lot of interest in terms of how we
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are thinking about, um, uh, the practice
of law and the delivery of client service.
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00:17:51,014 --> 00:17:56,293
And I, I've been willing to, and I
have spoken with many, uh, uh, big law
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00:17:56,303 --> 00:18:01,533
leaders that I got to know during my
seven and a half years as the chair
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of the executive committee at Sidley.
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Um, and you know, by and large, they're
very, very interested in, um, how
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we're thinking about what we're doing.
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Um, and I'm happy to
talk to them about it.
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Um, most of them know, including my former
colleagues, that knowledge management
225
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and trying to understand what we knew,
who knew it, and where to find it, you
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00:18:26,053 --> 00:18:32,843
know, was a, was a real driver of my
tenure, um, including eventually the, uh,
227
00:18:32,863 --> 00:18:35,793
legging into the Harvey pilot and that.
228
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So I think most folks that know
me, uh, understand that this has
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been a passion, uh, for a long
time, um, in terms of offering
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better, uh, value, um, and faster.
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Um, and so it's, uh, it's been
a lot of good conversation.
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Good.
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That, that's good to hear.
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I mean, if you don't do it,
somebody's gonna do it, right?
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00:18:58,343 --> 00:19:02,324
I mean, it's, it's not like,
um, Mike doesn't do this and
236
00:19:02,324 --> 00:19:03,944
the opportunity evaporates.
237
00:19:03,953 --> 00:19:05,493
Somebody's gonna fill this void.
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00:19:06,703 --> 00:19:12,863
Well, the general counsels, as you pointed
out earlier, um, you know, frankly, uh,
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without any regard to norm law, um, have
noticed, uh, where their legal bills are,
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00:19:21,793 --> 00:19:26,734
uh, particularly as I was saying, for the
high value but not highest value work.
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00:19:27,123 --> 00:19:34,443
Um, and so this is really, uh, something
that it was gonna impact and in a way
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00:19:34,473 --> 00:19:42,584
disrupt, uh, big law regardless of norm
law, but we, we are, um, certainly,
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um, a, a tangible, um, a tangible,
uh, you know, flag, uh, planted in the
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space of, okay, we need to talk about,
you know, what, what, what the value
245
00:19:57,784 --> 00:20:03,659
really is and what it-- and what the
cost is and are we in alignment Yeah,
246
00:20:03,690 --> 00:20:08,070
I don't know that there are official
definitions around these terms, but I
247
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think there's a general consensus, um,
around them, which is kind of bet the
248
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company versus operate the company.
249
00:20:16,090 --> 00:20:21,730
And if you hear estimates on what
the ratio is of work that gets
250
00:20:21,730 --> 00:20:25,540
sent to external legal counsel,
it's roughly eighty/twenty.
251
00:20:26,189 --> 00:20:30,330
Um, eighty being operate the company,
twenty being bet the company.
252
00:20:30,470 --> 00:20:35,280
And there are, there are, there are
different takes on that, but from
253
00:20:35,280 --> 00:20:39,130
my just anecdotal observation, it
seems like most people land in that.
254
00:20:39,139 --> 00:20:49,629
H-how, how can Norm and other, or can
Norm and other AI legal firms compete
255
00:20:49,629 --> 00:20:52,419
with Big Law in the bet the company space?
256
00:20:54,279 --> 00:20:55,310
Not right now.
257
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Um, uh, I, I think again, um, you know,
the breadth of the most elite law firms
258
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in terms of, you know, their capabilities
in multiple jurisdictions with multiple
259
00:21:12,219 --> 00:21:19,779
regulatory schemes, uh, with various types
of transactions that can be hybridized to
260
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do something new, um, to take account of a
combination that's never been done before.
261
00:21:26,079 --> 00:21:32,350
No, those are things that are far
too human, um, at this point in time.
262
00:21:32,719 --> 00:21:42,430
Um, and, uh, it is where, again, um,
the innovation, um, and, uh, um, and
263
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expertise that elite law firms really in
the, in the US and UK bring, um, frankly
264
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affect the whole standard of living of
the, of the countries, the two countries.
265
00:21:55,609 --> 00:22:03,099
Um, and no, we-- the AI native law
firms, uh, aren't going to compete.
266
00:22:03,129 --> 00:22:07,039
Uh, and frankly, you know, what I
would call middle market law firms just
267
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because they have access to AI tools and
that aren't going to contend with the
268
00:22:13,030 --> 00:22:15,300
most elite firms for that work either.
269
00:22:15,369 --> 00:22:23,059
Um, there is just too much important human
experience, knowledge, and judgment, as
270
00:22:23,069 --> 00:22:30,219
well as, um, the ability to innovate, um,
that are housed i-in, in those practices.
271
00:22:32,078 --> 00:22:32,958
Yeah, that makes sense.
272
00:22:32,958 --> 00:22:37,158
So where, where can AI native
firms compete with Big Law?
273
00:22:38,428 --> 00:22:42,758
Well, in two different places,
and it depends, uh, on the talent
274
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that, uh, you know, is at the firm.
275
00:22:45,498 --> 00:22:50,518
And so, um, AI native firms can do
basic document work, um, and do it
276
00:22:50,518 --> 00:22:56,518
very well if, uh, there is a pretty
tight sandbox, uh, around that, uh,
277
00:22:56,687 --> 00:23:03,418
around that workflow, um, and you don't
need a lot of, you know, sophisticated
278
00:23:03,447 --> 00:23:05,927
lawyers, uh, or experienced lawyers.
279
00:23:06,598 --> 00:23:11,498
You know, that-- And we've seen that
proposition, you know, proved out already.
280
00:23:11,868 --> 00:23:18,207
Um, as you move up in the water column of
work from the most basic, you know, to,
281
00:23:18,238 --> 00:23:25,648
into what is really operate the company,
not just, um, status quo, um, but you
282
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move into transactions, financings, um,
uh, uh, investments, uh, more complex
283
00:23:37,677 --> 00:23:40,668
commercial arrangements and agreements.
284
00:23:41,207 --> 00:23:45,647
Um, you need human beings,
uh, real estate transactions.
285
00:23:45,798 --> 00:23:51,027
You need human beings that have
experience functioning, you
286
00:23:51,027 --> 00:23:53,727
know, at that level of practice.
287
00:23:54,118 --> 00:23:58,198
And ideally, and frankly what
we're doing at Norm Law, is we're
288
00:23:58,198 --> 00:24:00,328
overpowering that level of practice.
289
00:24:00,328 --> 00:24:05,687
We're bringing in market leading
lawyers that have seen the operate
290
00:24:05,737 --> 00:24:09,167
the company work day in and day
out for many years, but have also
291
00:24:09,167 --> 00:24:10,867
practiced at the highest levels.
292
00:24:11,298 --> 00:24:16,737
And so to sort of quip, um,
doing the operate the company
293
00:24:16,758 --> 00:24:18,127
work is like riding a bike.
294
00:24:18,427 --> 00:24:19,518
They've never forgotten.
295
00:24:19,688 --> 00:24:21,337
It's straightforward.
296
00:24:21,337 --> 00:24:22,247
They know how to do it.
297
00:24:22,548 --> 00:24:28,697
Um, and they're going to be able
to ensure that the quality that
298
00:24:28,807 --> 00:24:33,657
the clients are requiring, um, that
those quality standards are met.
299
00:24:34,087 --> 00:24:38,358
Uh, and so it really becomes
if you are utilizing AI,
300
00:24:40,408 --> 00:24:45,128
and I'd say whether it as a co-pilot,
meaning tools doing it better than
301
00:24:45,128 --> 00:24:49,527
you used to or native doing the
first pass of the work autonomously,
302
00:24:50,348 --> 00:24:55,357
the lawyers you have ultimately are
the differentiator, um, uh, in the
303
00:24:55,357 --> 00:24:57,137
value proposition that you can offer.
304
00:24:57,567 --> 00:25:01,888
And the more sophisticated the lawyers
you have, the more sophisticated work you
305
00:25:01,888 --> 00:25:06,418
can do for clients, and the more you can
take advantage of the efficiencies that
306
00:25:06,418 --> 00:25:13,160
AI offers if you're willing to pass those
through to the clients Yeah, interesting.
307
00:25:13,220 --> 00:25:16,129
You know, I think about, and
I've, I've said this before on
308
00:25:16,129 --> 00:25:20,260
the show, I think about this
transformation happening in waves.
309
00:25:20,639 --> 00:25:25,150
And the first wave, which Big Law
is squarely in, is the copilot,
310
00:25:25,230 --> 00:25:28,169
lowercase C copilot phase, right?
311
00:25:28,170 --> 00:25:35,090
Where, uh, you take a platform and
you pair it, it with an attorney who
312
00:25:35,479 --> 00:25:41,379
is largely doing work the way they
have for thirty years, and you get
313
00:25:41,379 --> 00:25:43,349
some incremental efficiency gains.
314
00:25:43,750 --> 00:25:49,849
I think wave two is going to be
the re-architecting of, of work and
315
00:25:49,899 --> 00:25:56,660
unbundling legal tasks, bringing in proper
process engineering discipline into the
316
00:25:56,660 --> 00:26:02,610
practice, and formally documenting and
evaluating how the work gets delivered.
317
00:26:03,130 --> 00:26:09,379
And then I think the third wave is
the agentic era, where this work gets
318
00:26:09,389 --> 00:26:15,709
automated to the largest extent possible,
and it feels like you're-- you guys are
319
00:26:15,709 --> 00:26:21,460
skipping wave one and two because, you
know, well, maybe you're jumping right
320
00:26:21,460 --> 00:26:26,329
into wave two, which is kind of the
re-architecting of how the work gets done.
321
00:26:26,639 --> 00:26:28,209
Does that-- is that a fair assessment?
322
00:26:29,209 --> 00:26:29,569
Yeah.
323
00:26:30,020 --> 00:26:31,109
So two and three.
324
00:26:31,399 --> 00:26:31,979
Um- Yes.
325
00:26:32,009 --> 00:26:38,040
We are re-architecting in the sense that,
um, we've moved past the copilot stage.
326
00:26:38,499 --> 00:26:45,909
Um, we are building reusable AI agents
that have skills, um, and those skills
327
00:26:45,909 --> 00:26:48,520
are around certain types of transactions.
328
00:26:49,060 --> 00:26:53,569
And we've built an architecture on
which the-- a software architecture
329
00:26:53,569 --> 00:26:57,269
on which those agents sit and are
callable, as if you would call certain
330
00:26:57,270 --> 00:26:59,409
associates with different expertises.
331
00:27:00,159 --> 00:27:07,209
On top of that, we've built agents
that have specialized knowledge
332
00:27:07,630 --> 00:27:15,748
around the client's precedents and
playbooks and predilections And
333
00:27:15,998 --> 00:27:23,548
essentially educated those agents to
do the work a-autonomously, but the
334
00:27:23,548 --> 00:27:28,907
way an associate that had been doing
that kind of transaction for that
335
00:27:28,908 --> 00:27:31,528
particular client for several years.
336
00:27:31,858 --> 00:27:36,248
And so we are in the two and three
in the sense we are re-architecting
337
00:27:36,257 --> 00:27:42,658
because the process, uh, uh, and,
uh, moving a document, moving flow,
338
00:27:42,907 --> 00:27:47,548
getting approvals, including through
the client, that's software, and we're
339
00:27:47,548 --> 00:27:51,557
doing that, but we're also building
these skills that are reusable.
340
00:27:51,568 --> 00:27:56,628
So unlike a copilot where you do your task
and then it kind of thrown away and you go
341
00:27:56,647 --> 00:28:02,847
do a task again, the agents that are built
with specific skill sets are permanent.
342
00:28:02,868 --> 00:28:03,778
They're available.
343
00:28:04,127 --> 00:28:07,007
They never quit, they never get
tired, they never have a bad day,
344
00:28:07,537 --> 00:28:13,927
um, and they are callable by more
senior lawyers to do these functions,
345
00:28:14,307 --> 00:28:17,807
um, or tasks, um, autonomously.
346
00:28:18,327 --> 00:28:28,957
Um, and so if a lawyer working with
copilot tools is two X, well, if that
347
00:28:28,957 --> 00:28:34,947
same transaction term sheet comes in
to a partner but drops a-automatically
348
00:28:34,948 --> 00:28:40,747
to an AI agent that has been trained to
do the suite of documents the way the
349
00:28:40,897 --> 00:28:46,717
particular client would require them and
subject to their preferences, it's already
350
00:28:46,717 --> 00:28:50,817
working in the background while the
partner is talking to the in-house team.
351
00:28:51,637 --> 00:28:54,747
That suite of documents will be
delivered somewhere between five and
352
00:28:54,798 --> 00:29:00,848
ten X faster than a lawyer working
with tools would be able to deliver it,
353
00:29:01,368 --> 00:29:03,878
and at the same level, uh, of quality.
354
00:29:04,368 --> 00:29:10,087
And that level is about a third-year
associate, and it's then ready for review.
355
00:29:10,857 --> 00:29:15,367
So we've moved up the first human
interaction with the document suite,
356
00:29:15,647 --> 00:29:19,718
whether it's the generation of documents
or it's commenting on someone else's.
357
00:29:20,097 --> 00:29:24,548
We've moved that level of human
interaction up to a more sophisticated
358
00:29:24,618 --> 00:29:31,457
point of sort of the mid to senior
associate or partner level, and that is
359
00:29:31,457 --> 00:29:39,066
dramatically more efficient You know,
um, one potential gap I, I see in the AI
360
00:29:39,256 --> 00:29:45,786
native strategy, and I don't think it's as
big a, a gap as people make it out to be.
361
00:29:46,236 --> 00:29:48,126
Um, I have a theory on data.
362
00:29:48,626 --> 00:29:54,676
So I think data is a necessary
component, but an insufficient one.
363
00:29:54,676 --> 00:29:57,996
In, in other words, there's a lot
of talk about data is the new oil.
364
00:29:58,466 --> 00:30:01,595
Uh, I don't, I don't think it--
data by itself creates a moat.
365
00:30:01,635 --> 00:30:08,336
I think what is going to create a moat for
law firms in particular is how they deploy
366
00:30:08,536 --> 00:30:16,115
tech, build learning loops, and then
package that into a go-to-market motion
367
00:30:16,315 --> 00:30:20,766
that aligns really well with client needs.
368
00:30:21,106 --> 00:30:22,796
I think that is gonna
be the differentiator.
369
00:30:22,796 --> 00:30:27,606
In other words, the incremental
value of, let's say, transactional
370
00:30:27,626 --> 00:30:31,766
data between Latham & Kirkland
isn't a dial mover, right?
371
00:30:31,766 --> 00:30:36,366
Kirkland's bigger, but it's-- once you
get to a certain critical mass of a
372
00:30:36,366 --> 00:30:43,076
data corpus, I think that any, you know,
uh, additional data that's acquired
373
00:30:43,095 --> 00:30:45,136
only provides an incremental gain.
374
00:30:45,136 --> 00:30:50,216
I really think that it's the p- the
packaging and the, the learning loops and
375
00:30:50,216 --> 00:30:56,386
how effectively firms capture and improve
knowledge and improve systems with it.
376
00:30:56,676 --> 00:31:00,635
Do you see it the same way, or do,
do you feel like, um, data- No.
377
00:31:00,635 --> 00:31:01,745
Yeah … is, is the new oil?
378
00:31:02,816 --> 00:31:03,386
No.
379
00:31:03,406 --> 00:31:11,096
Um, d- data, data is important, um, and
in the way we're thinking about it, the
380
00:31:11,096 --> 00:31:17,655
client's library, you know, is, uh, is
incredibly important in terms of, you
381
00:31:17,656 --> 00:31:25,065
know, working through, um, a specific,
uh, work stream, um, or transaction type.
382
00:31:25,415 --> 00:31:30,345
Um, but what's also important is what's
in the head of the client, uh, and
383
00:31:30,345 --> 00:31:32,415
the domain expertise of our partners.
384
00:31:32,735 --> 00:31:36,666
Um, and so data is a
very big component of it.
385
00:31:37,305 --> 00:31:44,515
I'm not sure generalized data is as
valuable, um, in terms of working with
386
00:31:44,595 --> 00:31:53,385
large institutions that have a history,
um, of transactions, um, or even in the
387
00:31:53,386 --> 00:31:59,705
dispute space, um, and have their own
in-in-house department that frankly,
388
00:31:59,715 --> 00:32:05,845
y-you know, is driving, uh, the strategy
or the pain points or the must-haves.
389
00:32:06,225 --> 00:32:11,305
Um, I'm, I'm not sure undifferentiated
data is all that, that helpful.
390
00:32:11,305 --> 00:32:19,885
I think what is helpful is the data that
is really useful to the client and really
391
00:32:19,886 --> 00:32:27,266
good project management and plumbing,
and a lot of that can be software.
392
00:32:27,676 --> 00:32:33,375
Um, but, uh, and, you know, so I
think, I think it is a combination,
393
00:32:33,375 --> 00:32:40,375
but I think just having more data, um,
i-is not necessarily, uh, you know,
394
00:32:40,415 --> 00:32:42,225
gonna create efficiencies for clients.
395
00:32:42,225 --> 00:32:47,456
And one example might be if I were
doing fund number four for a large
396
00:32:47,485 --> 00:32:52,005
private equity house, I really
don't need to boil the ocean in
397
00:32:52,005 --> 00:32:56,455
order to come up with the limited
partnership agreement for fund five.
398
00:32:56,955 --> 00:33:03,395
I really wanna look at fund four, and I
wanna look at all the investor asks that
399
00:33:03,395 --> 00:33:08,196
they put into side letters and things
that occurred during the operation of that
400
00:33:08,265 --> 00:33:16,190
partnership as I think about, okay, what
is the best design for fund five Taking
401
00:33:16,200 --> 00:33:20,350
those things into account, I really don't
need to know what everybody else has done
402
00:33:20,350 --> 00:33:23,879
with all their agreements and what other
investors have done with other funds.
403
00:33:24,740 --> 00:33:25,649
Not so much.
404
00:33:26,170 --> 00:33:31,330
Maybe, maybe that little increment lives
in the head of the human being, the
405
00:33:31,330 --> 00:33:34,129
partner, or the in-house legal department.
406
00:33:34,339 --> 00:33:36,030
So I agree with you.
407
00:33:36,810 --> 00:33:42,210
You need to think carefully about whether
or not i-in the way you're utilizing data,
408
00:33:42,540 --> 00:33:50,490
you're actually completing the client's
mission, or y-you're just adding a lot of
409
00:33:50,499 --> 00:33:59,952
time and effort and, you know, information
that doesn't really move the needle I
410
00:33:59,952 --> 00:34:02,691
think, yep, I, we're aligned on that.
411
00:34:02,952 --> 00:34:07,952
Um, there is a perception, and
I think it's a valid one in,
412
00:34:08,161 --> 00:34:13,541
from clients about Big Law, that
they are not customer-centric.
413
00:34:13,741 --> 00:34:19,442
And I'm sure there are some exceptions to
this, but in general, um, a- and to get
414
00:34:19,442 --> 00:34:25,562
specific a- about why they feel that way,
they feel there's a lack of transparency.
415
00:34:26,051 --> 00:34:31,461
They feel, they feel like there's a lack
of, hmm-- or they feel the relationship,
416
00:34:31,491 --> 00:34:35,001
I'll go the opposite direction,
is sometimes feels arm's length.
417
00:34:35,732 --> 00:34:44,812
Um, there's, uh, you know, a lack
of, um, customer needs considered
418
00:34:44,901 --> 00:34:49,771
when pricing models are developed.
419
00:34:50,061 --> 00:34:51,571
And I mean, there's real data on this.
420
00:34:51,572 --> 00:34:59,761
Deloitte had a study from, uh, June of
this year where they surveyed 121 inside
421
00:34:59,761 --> 00:35:07,191
legal leaders, and something like 65%
said that they have only had either an
422
00:35:07,191 --> 00:35:12,511
initial conversation or no conversation
at all about how AI is going to impact
423
00:35:12,511 --> 00:35:14,221
the economics of the relationship.
424
00:35:14,981 --> 00:35:21,191
And so I think Big Law has a lot of work
to do in making, putting the customers
425
00:35:21,222 --> 00:35:24,011
at the center of their thinking.
426
00:35:24,331 --> 00:35:29,762
Um, how are you approaching
this customer-centric matter?
427
00:35:31,142 --> 00:35:31,412
Right.
428
00:35:31,491 --> 00:35:38,571
So in terms of what we're doing at Norm
Law, w- we're getting the pricing out
429
00:35:38,572 --> 00:35:43,061
of the way right at the beginning by
charging on a flat rate per transaction
430
00:35:43,631 --> 00:35:50,611
or, uh, per document, and that, um,
we're not talking about pricing and, you
431
00:35:50,612 --> 00:35:54,312
know, phone calls that relate to the work
stream and that we don't charge for them.
432
00:35:54,711 --> 00:36:01,341
It's all part of the cost, and so we
can move immediately to, okay, what
433
00:36:01,341 --> 00:36:10,352
is the work and how do we get it done
fast, efficiently, expertly, and how
434
00:36:10,352 --> 00:36:15,881
do we work with the in-house department
to make that happen collaboratively?
435
00:36:16,331 --> 00:36:21,141
Um, and, and that's a very
important part of our model.
436
00:36:21,572 --> 00:36:27,731
In order to improve the performance of
the AI agent, it needs to be informed.
437
00:36:27,851 --> 00:36:33,271
It needs to be informed by the drafts
that the lawyers at Norm Law exchange
438
00:36:33,271 --> 00:36:39,390
with the counterparties The comments
that come from in-house review of our
439
00:36:39,390 --> 00:36:45,220
work, um, and conversations that happen
between the partner and the in-house team,
440
00:36:45,220 --> 00:36:47,170
and that has to be fed into the agent.
441
00:36:47,690 --> 00:36:54,359
So it's in our interest to spend
more time talking to the client and
442
00:36:54,359 --> 00:36:59,059
making sure that we're updating the
agent, and we don't wanna put, put a
443
00:36:59,060 --> 00:37:04,849
disincentive around that improvement
in performance by saying, "Well, we're
444
00:37:04,849 --> 00:37:06,840
gonna charge you for that conversation."
445
00:37:07,310 --> 00:37:15,350
So I think we've tried to construct our
way of working i-i- so that we create
446
00:37:15,359 --> 00:37:20,949
the most value, uh, and efficiency
and improvement in the AI agent
447
00:37:20,970 --> 00:37:24,779
performance as the work streams progress.
448
00:37:25,359 --> 00:37:31,049
Um, in terms of big law, what I would
say about it is, yes, there's been a
449
00:37:31,049 --> 00:37:36,219
pull apart between the lawyers and the
clients, and a lot of it relates to the
450
00:37:36,220 --> 00:37:42,939
rate raises over the last decade that,
you know, frankly went previously from
451
00:37:42,949 --> 00:37:46,199
three to five percent to nine to 14%.
452
00:37:46,939 --> 00:37:53,340
And with that, you saw the advent of
procurement departments at clients.
453
00:37:53,979 --> 00:37:58,000
Procurement departments didn't
exist, you know, 15, 20 years ago.
454
00:37:58,499 --> 00:38:03,419
They were a response to pricing pressures.
455
00:38:03,949 --> 00:38:11,929
And, you know, that dynamic is not one of
alignment or certainly strains alignment.
456
00:38:12,859 --> 00:38:17,009
Now, what I would say about the
lawyers at big law, frankly,
457
00:38:17,009 --> 00:38:22,549
but this pertains generally with
lawyers, is they are client-driven.
458
00:38:23,119 --> 00:38:30,830
Um, they came into the profession because
they wanted to be in service to clients.
459
00:38:31,170 --> 00:38:35,569
They wanted to be valued for their
expertise and their responsiveness.
460
00:38:35,999 --> 00:38:41,959
Um, and, you know, the, some of
the operating elements, um, at
461
00:38:41,979 --> 00:38:47,989
clients and at big law have gotten
in the way of those relationships.
462
00:38:48,429 --> 00:38:53,760
And, you know, it might be one of those
times where at least with some firms
463
00:38:53,760 --> 00:39:00,139
and some clients, they both disarm,
um, and, uh, you know, can realign.
464
00:39:00,580 --> 00:39:03,380
Um, and maybe that's with some of
these transac- transitions, you know,
465
00:39:05,429 --> 00:39:08,729
we'll see some of that, um, you know, TBD.
466
00:39:09,868 --> 00:39:12,598
I went to a, uh, I go
to a lot of conferences.
467
00:39:12,598 --> 00:39:16,898
I'm at about fourteen, fifteen a year,
and last year I went to my first pricing
468
00:39:16,898 --> 00:39:22,867
conference, and it was a panel of
GCs and all the pricing professionals
469
00:39:22,868 --> 00:39:27,198
at law firms in the audience, and I
thought a fistfight was gonna break out.
470
00:39:28,397 --> 00:39:32,777
It was super entertaining, um,
to hear, and they were very
471
00:39:32,777 --> 00:39:35,418
candid that, um, on both sides.
472
00:39:35,787 --> 00:39:41,217
You know, the GCs were basically
saying, "Look, this, this trajectory
473
00:39:41,267 --> 00:39:48,157
of rates is unsustainable, and, you
know, we, we-- what we want is, like,
474
00:39:48,917 --> 00:39:55,297
more predictable predictability around,
you know, rate increases for hourly
475
00:39:55,297 --> 00:40:00,638
work, but also a much higher percentage
of alternative fee arrangements."
476
00:40:01,187 --> 00:40:04,857
And then on the, on the pr- the pricing
professional side, they, they-- there was
477
00:40:04,858 --> 00:40:07,047
a lot of what sounded like valid pushback.
478
00:40:07,047 --> 00:40:12,647
Like, "Hey, look, fixed price requires
fixed scope, and you can't fix scope
479
00:40:12,777 --> 00:40:16,697
around… It's very difficult to do
around a big category of legal work."
480
00:40:17,147 --> 00:40:23,127
And, um, you know, so there's the, uh--
But the tension was palpable in that
481
00:40:23,128 --> 00:40:28,268
room, and it, it ended up, I saw, I
stuck around afterwards, ev- you know,
482
00:40:28,268 --> 00:40:32,897
a lot of friendly conversations, but
that was a really heated dialogue, and
483
00:40:32,957 --> 00:40:38,397
it-- I think it captures the disconnect
today between inside legal team, what
484
00:40:38,707 --> 00:40:43,167
inside legal teams want and what external
legal providers are, are offering.
485
00:40:43,167 --> 00:40:46,517
And I'm not saying who's at fault
there because I think there's plenty
486
00:40:46,547 --> 00:40:51,137
on both sides, but, um, it seems
like you're kind of filling s-some
487
00:40:51,137 --> 00:40:54,372
of that void Well, that's right.
488
00:40:54,532 --> 00:40:59,662
Um, and, and to your point, um, you
know, look, when I see kickoff meetings
489
00:40:59,662 --> 00:41:04,572
on transactions, you know, for, for the
last, you know, my, my years of practice
490
00:41:04,572 --> 00:41:09,692
in that, um, or other get-togethers
between the lawyers and the clients, um,
491
00:41:10,262 --> 00:41:16,152
you see the relationships and you see
how much the clients value the work that
492
00:41:16,152 --> 00:41:21,531
the lawyers do, um, their responsiveness,
you know, e- even, you know, their
493
00:41:21,531 --> 00:41:24,312
character, um, and personalities.
494
00:41:24,371 --> 00:41:28,572
That there's a reason there's a fit
between their lawyers and their clients.
495
00:41:29,032 --> 00:41:34,131
It's the pricing, the billing, and the
collecting that gets in the way of that.
496
00:41:34,602 --> 00:41:38,881
Um, and we've tried to just
take that off the table.
497
00:41:39,361 --> 00:41:44,542
Um, and, uh, I, I think, you know,
that puts us in a healthier place where
498
00:41:44,731 --> 00:41:50,382
we can concentrate on, you know, what
it is that is bringing us together.
499
00:41:50,391 --> 00:41:56,032
What is the mission that we collectively
are going to embark on and accomplish?
500
00:41:56,422 --> 00:42:02,362
Um, and we're not talking about, um,
what each increment is gonna cost.
501
00:42:02,381 --> 00:42:10,162
Now, to your point, you know, you need
to have trust, um, and transparency
502
00:42:10,221 --> 00:42:15,282
so that we can get that pricing
correct and then get it off the table.
503
00:42:15,631 --> 00:42:23,232
Um, and, um, I, I, I think that is
possible , um, you know, but you need
504
00:42:23,232 --> 00:42:29,752
to have transparency and trust and
commitment, um, to the longer term.
505
00:42:29,992 --> 00:42:33,491
I'm not gonna take advantage of
you today because you're gonna need
506
00:42:33,492 --> 00:42:36,292
me again tomorrow, and vice versa.
507
00:42:36,901 --> 00:42:44,822
Um, but, you know, we're a long way
from getting back to, um, nirvana.
508
00:42:45,471 --> 00:42:45,891
Yeah.
509
00:42:45,922 --> 00:42:51,841
How, how is Norm managing the
unpredictability that's inherent in some
510
00:42:51,852 --> 00:42:56,512
legal work when you're You know, going
through your pricing strategy- Yeah
511
00:42:56,522 --> 00:42:57,542
how do you think about that?
512
00:42:58,542 --> 00:43:02,681
Yeah, and a- and again, um, well, and,
and here, you know, there's a bit of
513
00:43:02,682 --> 00:43:08,431
an unfairness in, in, uh, the, the
commentary in the sense that we are not
514
00:43:08,432 --> 00:43:13,751
doing the highest value work that is
the most complex and the most unique,
515
00:43:13,802 --> 00:43:20,301
um, and iterative on, uh, you know,
prior, uh, uh, prior knowledge and that.
516
00:43:20,312 --> 00:43:23,651
And so, um, it is more predictable.
517
00:43:24,222 --> 00:43:28,232
Um, it's high value, it's
important, and there can be a range.
518
00:43:29,001 --> 00:43:34,742
But our view of that is that we're--
if we have a commitment with a client
519
00:43:35,102 --> 00:43:40,631
to do multiple transactions, it's worth
our investment, um, it's worth training
520
00:43:40,641 --> 00:43:43,372
the agent, and we can price that.
521
00:43:43,372 --> 00:43:46,452
And if one transaction
takes longer, so be it.
522
00:43:46,821 --> 00:43:48,841
If one is shorter, so be it.
523
00:43:49,271 --> 00:43:54,872
But we basically index to the client's
average cost, and we accept that.
524
00:43:55,391 --> 00:44:00,511
Um, and we aren't looking to pick up, you
know, nickels in front of a steamroller.
525
00:44:01,152 --> 00:44:01,562
Yeah.
526
00:44:02,171 --> 00:44:08,792
And, um, I think that there is, there
have been unhealthy dynamics on the inside
527
00:44:09,222 --> 00:44:15,781
legal realm as well, like shadow billing,
you know, where, "Hey, I want a fixed
528
00:44:15,791 --> 00:44:17,941
price, but I also wanna see your hours."
529
00:44:18,501 --> 00:44:22,011
And, or- Right … or asking
for, like, does not exceeds.
530
00:44:22,411 --> 00:44:25,572
You know, I-- we're a service provider,
we're a product company, but for
531
00:44:25,582 --> 00:44:31,561
f- 14 years, from '08 to 2022, we
were consultants, and we would get
532
00:44:31,561 --> 00:44:36,810
approached and be asked to deliver
Uh, fixed price engagements and
533
00:44:36,819 --> 00:44:39,710
the default was does not exceeds.
534
00:44:40,140 --> 00:44:43,340
And that is the worst possible
scenario for a service provider
535
00:44:43,340 --> 00:44:44,690
because there's no upside.
536
00:44:44,819 --> 00:44:52,579
It's if, if I'm, if I beat the estimate,
I, I lose revenue, and if I go over,
537
00:44:52,629 --> 00:44:54,889
I lose because I'm eating hours.
538
00:44:55,170 --> 00:45:00,450
So- Right … you know, um, h-how,
how- Yeah, so we're not doing that.
539
00:45:00,450 --> 00:45:00,519
Yeah.
540
00:45:00,519 --> 00:45:04,619
Yeah, we're not doing the, the, you
know, the, the caps and things like that.
541
00:45:04,639 --> 00:45:10,709
It's just a straight cost, um, and,
uh, and, and build a relationship,
542
00:45:10,719 --> 00:45:12,390
meaning we wanna have conversations.
543
00:45:12,390 --> 00:45:14,449
Conversations use up human time.
544
00:45:14,959 --> 00:45:16,179
Human time is finite.
545
00:45:16,569 --> 00:45:20,819
Um, so we need an understanding
with the clients that we're gonna
546
00:45:20,819 --> 00:45:26,579
work together, you know, in good
faith on this mission, um, and we're
547
00:45:26,580 --> 00:45:31,749
gonna have to have conversations
if that starts not to be the case.
548
00:45:32,139 --> 00:45:37,769
But, you know, we also, you know, spend
a fair amount of time scoping and doing
549
00:45:37,769 --> 00:45:41,769
project management upfront so that
we all understand what we're doing.
550
00:45:42,160 --> 00:45:51,390
Um, but really, it's to no one's benefit
when, um, the parties aren't, uh,
551
00:45:51,410 --> 00:45:56,350
don't have an understanding, uh, of one
another and aren't willing, you know,
552
00:45:56,350 --> 00:45:58,950
to engage in sort of a mutual journey.
553
00:45:59,319 --> 00:46:06,769
You know, the adversarial advantage
from one to another really doesn't,
554
00:46:06,919 --> 00:46:13,160
doesn't work for the client, and it, it,
that is not a good way for an in-house
555
00:46:13,199 --> 00:46:17,899
department to behave, and it doesn't
work for outside counsel, and it's
556
00:46:17,909 --> 00:46:24,399
not a good way to foster the long-term
relationship that Big Law depends on.
557
00:46:24,679 --> 00:46:31,170
So there is a way to, through, again,
transparent conversation, you know,
558
00:46:31,170 --> 00:46:37,020
to get there, but both sides have
to be willing to, you know, engage
559
00:46:37,049 --> 00:46:43,829
and be honest about, you know, what
they're doing, what the value really
560
00:46:43,830 --> 00:46:48,450
is, and what the cost really should
be, and how it's going to be staffed
561
00:46:48,520 --> 00:46:54,749
to make sure you meet that quality,
um, and how it's gonna be supported
562
00:46:54,770 --> 00:47:00,849
internally, um, so that everybody
comes out where, you know, they expect.
563
00:47:01,109 --> 00:47:05,370
Or in the words of Yogi Berra, you
know, "If you don't know where you're
564
00:47:05,370 --> 00:47:10,760
going, you wind up somewhere else."
And that's not good for anybody.
565
00:47:11,559 --> 00:47:15,220
That's a great quote, and we're out
of time, so we'll, we'll end on that
566
00:47:15,229 --> 00:47:17,410
because I love Yogi Berra quotes.
567
00:47:17,819 --> 00:47:21,140
Um, well, it's been an absolute
pleasure to have you on.
568
00:47:21,149 --> 00:47:26,120
Mike, how do people find out more about
y- you know, you and, and Norm Law?
569
00:47:27,648 --> 00:47:28,518
Well, we're you--
570
00:47:30,998 --> 00:47:36,928
normlaw, uh, .com and, uh, Norm AI,
um, and, uh, we're, we're out there.
571
00:47:37,098 --> 00:47:41,798
Um, we're easily findable on
the worldwide web of knowledge.
572
00:47:42,248 --> 00:47:42,778
Awesome.
573
00:47:42,837 --> 00:47:46,387
And we'll include some links- It's been
a pleasure … links in the show notes.
574
00:47:46,387 --> 00:47:47,828
It-- Yeah, the pleasure's been mine.
575
00:47:47,828 --> 00:47:51,048
I've been looking forward to this
podcast for, for quite some time.
576
00:47:51,048 --> 00:47:54,298
So thank you so much for
taking time out of your day.
577
00:47:54,298 --> 00:47:58,947
I know you're very busy and, um, I hope to
bump into you at a conference again soon.
578
00:48:00,048 --> 00:48:00,688
Look forward to it.
579
00:48:01,028 --> 00:48:01,357
All right.
580
00:48:01,357 --> 00:48:01,608
Bye-bye.
581
00:48:01,618 --> 00:48:02,167
Thanks, Mike.
582
00:48:02,217 --> 00:48:04,487
Thanks for listening to
Legal Innovation Spotlight.
583
00:48:05,017 --> 00:48:08,487
If you found value in this chat, hit
the subscribe button to be notified
584
00:48:08,487 --> 00:48:09,847
when we release new episodes.
585
00:48:10,487 --> 00:48:13,177
We'd also really appreciate it if
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586
00:48:13,177 --> 00:48:15,797
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587
00:48:16,397 --> 00:48:19,047
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