The Wisdom Wall

“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 this and a million users used it for six months and it…”

“the big challenge that they ran into was, you're essentially just building two different companies, right? You're building a law firm, And you're building a tech company, and it's already really hard to, like, build product engineering, do AI, scale sales, and I think the big issue you run into if you try to do both of…”

“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?”

“when you get to that scale, a lot of the problems we're solving are not just model intelligence problems. They are these orchestration, governance, and kind of all of the enterprise product problems that you run into at scale.”

“Legal is so difficult is the workflows aren't structured. So the same way with programming, it's really hard until these models to build tools for programmers. You basically just had an ID and then programmers did stuff in all the different languages, but you didn't have like, oh, here's a tool for Python. Here's a…”

“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…”

“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…”

“for something like generate this merger agreement, it's really hard to just give some binary like this is good or this is bad. 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…”

“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 this.”

“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. And I…”

“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, like the, the initial feature we built that none of the products had at the time was upload a document and do something with it. And that is a lot of legal tasks. And…”