Gabe Pereira
๐ค SpeakerAppearances Over Time
Podcast Appearances
Thanks so much for having me.
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.
And so that's a lot of what we're building at.
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
In 2022, my roommate was Winston, who's now the CEO of Harvey.
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.