Will This $11B AI Startup Disrupt Big Law?

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Prof G Markets 51 min 5 speakers 8 chapters transcribed 4 months ago
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What is the main topic discussed in this episode?

Unknown 0:00
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Ed Elson 1:25
Welcome to the Prof G Market's Founder Series. I'm Ed Elson.

How does Harvey aim to disrupt the legal industry?

Ed Elson 1:30
Since the start of 2026, investors have been asking one big question. How much of the economy will AI disrupt? We've already seen the fallout in software, where waves of saspocalypse sell-offs wiped out hundreds of billions in market value. But that may just be the beginning. Now, attention is shifting to the legal industry, a trillion-dollar market built on manual, time-intensive work like document review, due diligence, and compliance, exactly the kind of workflows that AI was built to transform. Well, my next guest saw that as an opportunity. In 2022, he built an AI company designed to streamline legal work at scale. Now the question is, can it actually disrupt one of the world's most archaic industries?
Ed Elson 2:17
Well, with over a billion dollars raised, an $11 billion valuation and adoption in over 60 countries, it's well on its way to doing just that. This is my conversation with Gabe Pereira, co-founder and president of Harvey. Gabe, welcome to the show. Thank you so much for joining me. So much to get into here. I guess maybe lay out for listeners what actually is Harvey and how did this company get started?
Gabe Pereira 2:46
Thanks so much for having me.

What challenges does AI face in the legal sector?

Gabe Pereira 2:48
I would think of the problem that we're solving with Harvey is how do we help large law firms and their clients, which are large enterprises and increasingly all law firms and all companies, go through exactly the transition that you talked about. So when we started the company four years ago, we built, I think, what most companies built of some form of co-pilot for a professional cursor and cognition, built this for programming, we built this for legal. And I think what you're starting to see the shift as these models get better and better is you need to start thinking not just about the productivity of individuals, but the productivity of entire organizations and what is the infrastructure that they need to be able for the entire firm to operate effectively.
Gabe Pereira 3:35
And so that's a lot of what we're building at. at Harvey.
Ed Elson 3:39
When did you come up with this and how did you realize that this was going to be a huge opportunity?
Gabe Pereira 3:44
Yeah, we started the company summer of 2022. I was at Meta on their large language model team. GP3 had just come out. I had been doing AI research for about 10 years before that. And so even in 2014, I think I was at Google Brain, then DeepMind. A lot of people in that community had the belief that we would figure out a way to build these systems i don't think the path was super clear i think we're kind of still being surprised by the way it's going um but there was just like i had this strong belief of we will be able to build super intelligence agi things like this and i think when you do a lot of that research you're constantly thinking about what problems are the models good at what problems are the models not good at and
Gabe Pereira 4:30
In 2022, my roommate was Winston, who's now the CEO of Harvey.

What specific legal tasks can AI realistically automate?

Gabe Pereira 4:34
He was a lawyer at O'Melveny. And I'd been brainstorming startup ideas as I saw these language models get better. And one day, he kind of showed me the work he was doing and the workflows. And that was kind of the light bulb moment where at the time, GP3 couldn't do that work, but it was very clear they would keep getting better. And that felt like one of the big industries that would just be a very clear application of this technology.

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