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Gabe Pereyra

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2025-12-05
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2025-12-05
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  1. Yeah, man, we're starting to work with a lot of private equity firms that I think it's interesting, like starting to see how they're thinking about that, because I think that will be like really interesting space.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  2. Yeah, three million, actually. Yeah, how you organize all of these. And I think that will be like one of the really interesting problems for these interesting.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  3. Yeah, and I think to that point, it's like how are humans and AI going to work super effectively? Because even at these large companies, you have huge teams of different specialized people that have different functions. And I think when I hear a lot of people talk about these models, they kind of talk about as like, oh, AI will just get smart and do all of this. And I don't think that's the way this evolves the same way. It's not just like. Hire 100,000 people, and now you've built Walmart. It's like so much of it is like a million.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  4. Making someone program 20% faster doesn't make you build a product 20% faster. And so starting to think about like, what is the broader infrastructure you need so these companies can develop software and product faster? And then kind of same analogy to legal. I think that's kind of one of the things we're thinking about that I maybe don't hear people talk about as much

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  5. The continued trend where a lot of what we're starting to think about is like law firms have like 10xed in size compared to before computers and the internet. And I think that's going to happen again, but in like maybe a different way than the past 20 years. But I think that to me, like a lot of people still talk about co-pilots and individual productivity. And I think a lot of the things we're starting to think about is like organizational productivity and like how do you build these systems at scale where both our internal engineering team, like I think a really interesting question for the cursors, the codexes is like

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  6. It's crazy. Yeah, and to me, it's like I think the interesting thing will be the transition from like these models are really smart individually, but if you think about a lot of what we've done in the past 20 years with SaaS, it's how do we use software to make these massive organizations? And I think that will be

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  7. One comment I'll definitely make on the foresight is I think a lot of, like, we've gotten comments of like, oh, overnight success. And oh, you saw this coming. And I would say I actually just spent the decade before Harvey trying to start a company like Harvey. So I think it was just, I was super early. And then eventually it was like, oh, now's the right time. And then you were kind of in the right position. My guess is, I think people now are catching up to how capability pilled, as you called it, like Winston and I were. I think people in Silicon Valley, I think people have a good sense of where these models are going, but I think generally people don't appreciate how much better they're going to continue getting.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  8. And then the first year and a half of the startup, things were so crazy. I was like, this is what a startup founder should do. And at some point, I was like, I need to get a bed frame. And I ordered one. And it came and I got a call from the apartment and they were like, hey, you didn't sign out. You didn't fill out the insurance, like the rent, the mover's insurance. So we can't let them bring this up. And I was like, okay, I called them. I was like, hey, do you guys have renters insurance? They were like, we're UPS. We don't. They're just like, we don't do that. And then I was just like, I don't have time to deal with it. And I haven't dealt with it. We have other problems to solve. Okay.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  9. Oh boy Okay, so I don't sleep on an air mattress. I have a good mattress. I don't have a bed frame. Is where that's coming from. And so, what happened is when we moved from LA to SF, my bed frame broke.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  10. Yeah, on the technical side, so we mentioned FDEs, I think. Looking in general, like across rules of just strong engineers, and then I would say maybe specific call outs, we just hired a site lead for New York, so starting to scale up that office. More folks on kind of front end. More AI folks as well. So, but yeah, anyone strong engineer, like, please apply.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  11. LGBT4, like helped me make this. And you could kind of already see it at the time with programming. And that was part of what gave me the intuition that I could analogize to like what Winston was doing.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  12. It was mainly like I used GPD4 because most of my background was distributed systems and AI research. And I was, I still don't know React. I was just like JavaScript and kind of like putting this together.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  13. Oh, this is crazy because that's so much of my job. I think with coding, the initial models were also not quite as good that you needed maybe a bit more capabilities of the base models, and then you needed, I think, figuring out the right way to like integrate this into the ID. But I mean, I remember where it's like the first version of the product that...

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  14. Like the initial feature we built that none of the products had at the time was upload a document and do something with it, right? And that is a lot of legal tasks. And it was that and then do really accurate citations. And when you showed people that, they were like,

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  15. I think it was finding the right form factor, and I think in legal it was maybe a bit more obvious where the initial form factor was essentially like.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  16. And I think we felt that same way in legal. And I had a bit of intuition. I did like a bit of investment banking private equity and it was the same workflows where you could just do any of them with these models. And so I think keeping the product open-ended enough that it gave us the room that now we can build into all these things and like professional other professional services. I think that was super important.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  17. Yeah. Yeah, I think that was something we did really well where we just had this belief where I think the same that you see with the programming products where if you had built something where it's like all this does is like check that your Python code doesn't have bugs, which you could have done better with 3.5 like you wouldn't have built Something like cursor, and the intuition was just these models can help you do any programming task in any programming language.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  18. That was part. And then I think the other big part was just Winston was a lawyer. And I think we had become super close. Never thought we'd start a company together, but just the way I heard him talk about the legal industry, like he, even though he was a first year associate, just had this intuition of not just the work he was doing, but the structure of the firm. Like I would hear him talk about the firm and be like, here's what all the different partners are doing. Here's like why our firm strategy is this way. He was in the process of convincing some partners to leave to start a law firm with him, which is insane for like, and so it was just like, okay, this will be really fun. He showed me a bunch of his legal tech. It was like, this seems like the perfect application. And then when we saw GBD4, I was just like,

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  19. Kind of one of the big problems were how do you pull all this together? Because you'd built systems where, okay, this is really good at vision, this is really good at like specific things, but no one really had the like general solution. And you saw things like Lambda. And I think with that trend, like what I'd seen is anytime you kind of make that initial, okay, this is how you do it, you can usually just scale and this stuff keeps working. And so with 3.5, you were like, This is getting really interesting, but it's not quite there. And so the bet was okay, open AI may be one of the people to crack it. Like I know a lot of the people there.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  20. Combination of a couple things. A lot of the best people at the time I had worked with had gone to OpenAI. And so I was working on large language models at Meta. You saw GPD-1, GPD2, GPD3. If you were working in AI for the past 10 years.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  21. Yeah, yeah, it's something where now everyone's like, oh, this is such an obvious idea. But at the time, yeah, yeah, now, yeah, text in text out. But at the time, yeah, no one was thinking about this. I think it was.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  22. I was thinking back to when we pitched to both of you guys like three and a half years ago and we were like, hey, AI for legal and you guys were like, sounds good. But we like, I mean, we had some of these ideas, but I think they've really like.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  23. Maybe not surprised, but biggest mental model shift is, I think the 10 years before Harvey, I was doing a mix of mainly AI research and then trying to start companies, but always largely as an IC. And I think the shift from this started working and scaling just how much I had to change my mental model of type of company we're building how you do this at scale how you operate i think that was the biggest surprise or like thing that i've had to had to change but it's been a crazy experience kind of going from you know winston and i in an airbnb These products at scale and kind of the complexity of this industry, like that has been a really hard but interesting experience. That's been amazing.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  24. And I think a lot of the problems you need to solve there are, like the biggest is the secure collaboration across many of these entities, the secure data sharing. How do you build and deploy AI systems across these very complex projects? And I think to your point, the scope of this, like legal is a trillion professional services is something like three to five trillion. There's just this massive amount of room to grow. And we think our expertise is going to be in building the product, the technical systems, the AI systems that enable that. And we want to give that infrastructure to all of the different law firms rather than compete with them because I just don't think you can.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  25. Exactly. Yeah. And I mean, if you think about those transactions, it's also not just law firms. So there's investment banks and you maybe have PWC or a tax advisor. And there could be an HR consultancy that helps you think about how you're merging headcount. And so for us, the bigger opportunity seems how do we build the platform that lets professional service providers and their clients collaborate?

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  26. This and so I think this is probably like this is something we don't do, but we've gotten this question. But yeah, I think it's kind of not the focus for the company.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  27. It's already really hard to build product engineering, do AI, scale sales. And I think the big issue you run into if you try to do both of these is I think you can only do one thing well and doing a law firm well is very different than building a software company well. I think that's one point. The bigger point is for us, it feels like the best outcome is if we can figure out how do we make every law firm? How do we help every law firm become an AI first law firm? Not how do we build one ourselves. And I think the real problem we're trying to solve is can we make every law firm more profitable? And part of that is how they work with their clients. And can you make their clients get better, faster, cheaper legal services? And I think solving that equation at scale is a much bigger opportunity than if you build a single law firm because you get conflicted out. You can't scale.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  28. Yeah. No, we get this question. And I mean, I think when we first started Harvey and we were doing research, we actually talked to 30 people from Atrium. And I think also interestingly, Sam and Jason, who was the GC of OpenAI at the time. And was the GC at Y combinator when they did the atrium investment? What struck us was the people who worked there said it was a really good idea and they were super excited about the prospects. And then there were some challenges around the legal and the execution. But when we dug more into it, the big challenge that they ran into was we were essentially just building two different companies, right? You're building a law firm and you're building a tech company.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  29. Yeah. No, I think this was like when I look back, it was still surprising how quickly some of these law firms adopted this. Like our first customer we actually met through, you introduced us to an ex-partner who's doing business school here and he introd us to David Wakeling at A&O. That was in our first year and they went from a small pilot to firm wide and investing in this. And I think you're seeing this in a couple verticals with like cursor open evidence where this technology is so transformative for these industries that just are so text heavy and knowledge based. They just haven't had tools like this that I think early on we did find these customers that were like, oh, this is worth really betting on. But yeah, I think the pace has still been pretty surprising.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  30. Exactly. And I think the interesting thing we're actually starting to see is law firms are starting to do this for their in-house clients. So they're starting to go and take Harvey and go to their clients and say, hey, buy Harvey and we'll help you build all the workflows and implement it because we have the scale and the expertise to build this where typically these in-house teams.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  31. And there is a massive amount of demand of we just want smart technical people to sit here and help us think about our business and our operations and how we should start mapping that into gen AI systems. And for us, it's a really good way to figure out the roadmap where, for example, Glue Al is like one of the fastest growing private equity firms that we recently started working with. We meet with them all the time and they're just like there's all these things that we feel like we could map into Gen AI. We don't quite know what it's going to look like, but let's just sit together and figure it out. And so I would say that's a lot of the genesis of the program of how do we just get more people that can work with all these customers and start kind of paving the way of some of these new roadmaps in different verticals.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  32. They're much less standardized than these law firms. And so there is just this massive amount of work where we go to a large bank and they say, we don't have any document management system for a legal department. Can you just build us one?

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  33. Business system, so their billing systems, governance systems. And then especially when we start working with the Walmarts, the very large banks, the Fortune 500.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  34. I would say the model that we're operating under is not a full palantir let's go into the code base and kind of build custom software I would say this is closer to Sierra's agent engineering program. But what we're starting to run into a lot is, I think early on we did a really good job of building a horizontal platform. We did not that much customization for customers in the sense of building specific things for specific customers. I think the thing that was nice about legal was we could build things like workflow builder and things into the product that would let customers customize the product. And then for very large customers like PWC, we did some customization. But now we're getting to the point where when we're starting to talk with law firms about, hey, we want to take a bunch of this data and help you build a model or build agents. There is some amount of we need to go in this environment into your environment and figure out how to connect all the data. We're starting to connect to a lot of their

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  35. You can make sure the filing is correct, but at the end of the day, it's like three years later, the companies are still merged and they didn't take on litigation. They didn't expect or something like that. And it's like, that is eventually the really valuable human experience, right? That's what you pay really good software engineers or really good lawyers where they have that decade-long track record of they can build these systems. they haven't fallen apart and a lot of these stuff the same way you can't unit test it's like hard to verify so it is i think this really interesting open research problem

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  36. And so internally, these law firms have a bunch of data of here's all the edits that went into this and the feedback. And so we are starting to think about how do you use that to train these reward functions. But I would say that is one of the really big problems. But I think one of the interesting things is I think you actually have the same problem in programming where I think in the short term programming is verifiable, where you can look at unit tests. But once you get into real software engineering, like the unit, there is no unit test. It's like I deployed the system design. Yeah, it's like I deployed this and a million users used it for six months and it didn't crash. And so you get, and it's like mergers are the same where it's like.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  37. And I think this has been like a big research problem. Like, with all the labs we work with and also internally, there is just this open question of how do you build that reward function. And if you think of what that reward function is at the law firms, it's the partners, right? Like at the end of the day, there is no way to verify this besides the senior partner who's done a bunch of these said, yeah, this looks pretty good.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  38. Yeah, this is one of the biggest problems. And I remember we had conversations early on when we were trying to figure out what is the right evaluation structure. So I think the hardest thing about legal is most of these tasks are very long-form text generation. And so there are definitely subsets of legal work that are super verifiable of going this data room and just find all the change of control provisions that you can kind of build these traditional data sets. But for something like generate this merger agreement, it's really hard to just give some binary like this is good or this is bad.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  39. But none of that shows up. Like all you get from these public mergers is like an SEC filing. And so you do see the final result, but most of the value or what you need, I think, to eventually improve these models is the decision making process the same way you need these reasoning traces to train these models to do kind of any of these reasoning tasks.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  40. Exactly. For an expert, just like it would be in code. Yeah, and if you looked at that data set. For one of those transactions, it would be client comes to Gordon, says, I want to do this large merger acquisition. And then there would be meetings and emails talking about, okay, this is the background of the two companies. This is roughly how we would structure them. These are all the things we need to look into. And a lot of the data would be Gordon giving these tasks to associates to say, okay, look into these risk factors of similar transactions we've done. They would do research and say, okay, maybe we could structure it this way. And then he would point out this really subtle thing that, hey, actually, in this case, if you structured it this way, this thing's going to happen.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  41. This is how it would structure it. And so a lot of the value he brings is not just the relationship, but it's just that technical understanding of how you architect these things the same way that how you architect like very large software projects. And I think when that translates to an RL environment, part of what is missing from the public models is the process of looking at one of these entities and figuring out given all of the context of I want to do this merger, this is the right way to structure it, just that process.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  42. And one of the examples that Gordon talked about early on was he was a part of when Michael Dell took Dell private and then restructured it and took it public again. And this was like a multi-year super complex financial and legal restructuring of an incredibly large business. And what he, when you talk with him, is incredibly good at. It's the same feeling as when you talk with a very senior engineer where he can just, he has the whole picture of this legal entity.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  43. Exactly Yeah, that's a good question. So maybe for background context, for the audience, Gordon Moody was a partner at Wactel, which is one of the top transactional firms in the world that joined us early on and is now an advisor. And kind of the analogy I was giving is why is a senior distinguished distributed systems engineer at Google so valuable? And a lot of it is the experience they have architecting these systems that none of this is public. This won't go into the models for a long time. And so if you're building search at Google, these people can just point out, hey, if you build this system this way at the scale, it's going to collapse for some reason that is super not intuitive.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  44. Yeah, to your point, I don't think that part changes where it's like when we think of the like we're now larger consumers of legal services and when we think of the best partners we've worked with, I don't think the models are doing. What they do anytime soon. And I think what's interesting is I think the role of law firm partners actually doesn't change that much in the same way. I don't think the role of very senior engineers changes with this because you're largely delegating work. And when you're getting paid to do is Here's the high level strategy. Here's the right abstractions. Go write the code or do the legal research to help me do it. And I will interface with the client. And so I think that my guess is that doesn't change too much, but some of the lower level functions do change because of this technology.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  45. And so, when you think about it from that perspective, our goal is how do we make these law firms more profitable? And it's not just a product problem. It's thinking about their holistic business and where do we fit in and kind of that bigger picture.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  46. I think one of the things that's very challenging with Lawfirm is they are really a collection of all these practice areas. And so the firms that specialize in litigation look different than the firms that specialize in large transactions versus like mid-sized transactions. And usually the big firms do a collection of these. And so a lot of what we're spending time is practice area by practice area. Can we go and sit with, here's the fund formation group and their private equity clients and start thinking about What that would look like in terms of the workflows, the staffing, the pricing. And I think it is a really interesting problem. Where a lot of the value in the product in the platform is not just the product itself, but how do we help enable these firms to transform?

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  47. And we see lawyers doing that with Harvey, where they'll say, generate this merger agreement. Why did we structure it that way? And so we're already starting to see some of that. But I think the really big opportunity for law firms is how do they take all of the internal partner feedback and data that they've created and use that to start training? I think that's one big piece. I think another conversation we're having is to your point, how do you just generally start restructuring firms? I think this is one where we have some intuitions, but a lot of it is going to depend on the firm, the region, the size, their specialty, the types of clients they serve.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  48. Over 10 years ago, when I learned to program, it was super painful, right? Like you had to go on Stack Overflow. It was hard to learn multiple languages because you're like, okay, I'm just going to like learn Python. I'm going to learn TensorFlow or something. It was just like hard to even learn that. It was hard to ask questions when I was at Google. You don't want to ask a bunch of questions because people would be like, oh, you don't know that. Yeah, exactly. And now with the models, it's like programming is so fun to learn because you can just be like, here's how to write this in Python, translate it. Why is it written this way? And you can learn this so much more quickly.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  49. Yeah, there's two great questions. I think it's changed a lot in the past couple years. I think something we are starting to talk with law firms a lot is how do we think of training the future generation of partners where to your point these law firms have these leverage ratios where you have a lot of associates but much less partners And there is value to that because not everyone is going to become a partner and part of going through that process is how you find, oh, this is the person that I would trust to do this very complex acquisition because they've gone through that experience. And so I think the part I'm optimistic about is if I think about

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT

  50. A code base and see if they can pass unit tests. And in legal, that RL environment is a client matter. So you have all of the context of a fund formation, an acquisition, a litigation, and the models are starting to learn. Let me go in the document management system and see if I can find this, go in the data room or do case law research, get feedback from your partner. And so I think that research direction is super, super interesting.

    2025-12-05 · No Priors · Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra · IDENTIFIED FROM THE TRANSCRIPT