Casetext

“Because we were so focused on large language models and were researching deeply in this space, we got really early access to GPT-IV. Like summer, 20, 22.”

“We were like twenty million dollars in revenue. We were doing great. I had like a hundred people and we stopped everything that we were doing and said, we're going to build something totally new based on this new technology.”

“It was helpful for us that, that I was a lawyer, my co-founders were lawyers, 30 to 40% of my company, even the coders were lawyers, because we actually lived it.”

“And to be honest, a lot of the stuff that we built while building co-council was exactly like this. Every time you do this task, you're basically gonna take the same six or seven steps. And you don't need to have, frankly, like fucking Langchain or whatever. J…”

“We've added much more evals at this point from real things that happened to real customers than the ones we came up with in the lab.”

“When we asked our customers, they said, listen, I'd rather pay more, but make it like consistent throughout the year, then potentially pay less and pay per use. So our customers wanted to pay a 6000 dollars per seat. They want to proceed and they want to pay 6…”

“I actually feel like in some ways for us in the early days focusing on legal, Made sense for us because I knew legal, but also it's kind of a mistake because at the time the legal software industry Pre-LLMs is actually pretty small because it was like a fracti…”

“I think a lot of founders are worried about that early, but my sense is maybe it's premature worry because embedded in that is also the case text pivot that, you know, they got users and an understanding and a useful corpus of data All of which turned into a t…”

“At that moment if you chopped it down to a bite-sized chunk, like you gave it some amount of context, That a human being, given the same context and the same prompt, would answer in a certain way. He found that he could, ah, you know, given inputs and outputs,…”

“I think of Jake a little bit like the first man on the moon.”

“One of our bigger successes, we had a company called Case Text which was in the legal space, which, you know, when I invested in that five years ago, I remember everyone saying, What are you doing? Legal tech's kind of a dead hole. And this was even different …”

“Garry Tan: He was one of the first people to get access to GPT-IV, and we think of him at YC as the first man on the moon, and that he was the first to successfully commercialize GPT-IV in the legal space.”

“You can almost Argue that anything that is consumer and publicly available on the internet, that's going to be in the base model. So then your moat ultimately is for all of the other things that are not already online, whether it's, you know, for case techs be…”

“So they launched it as an add-on, went from zero to nine million of AR in seven months, created a ton of interest, both from VCs, but also from strategics. And a few weeks ago, they announced they were getting acquired by Thomson Reuters for about six hundred …”

“They started paying us 50,000, a 100,000, a 150,000 dollars per client, and we got super excited about that.”

“I mean, we were almost certainly going to triple our revenue in the course of this year, and that's after 10 years of building the revenue we had before, right?”

“When we got the chance to work at GPT-IV, maybe about six or so months before it was publicly released,”

“So this is gonna sound probably insane to most people who hear it, but I think the GPT technology is under hyped because what we see in GPT-IV specifically as a model, and I'm assuming the same will be true as new models come out in the state of the art advanc…”

“So, you know, if I was an attorney today, there's no way I would go to court or file a brief without checking it through case text, because as an associate, it makes you look like a rock star to your partner.”