Jacob Lauritzen

“And, like, you can build a system that learns of how you work. A lot of firms right now think about, like, well, there's the X law firm way of doing things, and we can codify that, I think, and we can build a system.”

Expects: Law firms can codify their distinctive ways of working in systems that learn how the firms work. · no date given · not yet resolved

“And whether that's, like, a self-improving knowledge graph or whatever it is, and, like, precedent files and documents where there's, like, a way of working that produces a really good out- output, and that can be their IP.”

Expects: A law firm's codified working methods could become its intellectual property. · no date given · not yet resolved

“Yeah, yeah. Litigation's also... The big work still is there, and it's very valuable. And so they'll, they'll spend-- lawyers will spend more of their time there. Client relationships also super important.”

Expects: Lawyers will spend more of their time on major, valuable legal work. · no date given · not yet resolved

“Yeah, yeah. They can do more stuff- ... or like spend more time on the things that they, you know, didn't have time for before.”

Expects: AI-enabled paralegals can take on more work or spend more time on tasks they previously lacked time to do. · no date given · not yet resolved

“Yeah, but I, I do imagine us rolling in with legal engineers and forward deployed engineers to, like, work on specific projects.”

Expects: Legora will deploy legal engineers and forward deployed engineers together on specific client projects. · no date given · not yet resolved

“Yeah, and then I think, uh, deterministic like, um- ... maybe in, you know, a hundred out of, or in two out of a hundred times, it's gonna do something whack that we didn't want it to do.”

Expects: An agent might do something unwanted in about two out of every hundred cases. · no date given · not yet resolved

“So this is, I think, you know, let's see, but probably the next model from Anthropic is gonna be much better at this. Astra is actually very concise.”

Expects: Anthropic's next model will probably be much better at reducing chattiness and verbosity. The speaker also says Astra is very concise. · no date given · not yet resolved

“And make sure you do it with, like, audit logs and data retention and all of those sort of really important things in regulated industry. And then there's the, the AI part, which is, like, make the work faster and better and, and proactive agents that react to stuff when it comes in so you don't have to, you know, uh, kick off everything.”

Expects: AI will make legal work faster and better through proactive agents that respond to incoming events without requiring users to start every task. · no date given · not yet resolved

“It's gonna be a lot more... I think lawyers are gonna spend more of their time doing the stuff that they became lawyers to do. Uh, you know, figuring out what's the right risk profile, which manageable risk, what's like the, all of their judgment, strategic judgment, and, like, working with clients.”

Expects: Lawyers will devote more time to assessing risk, exercising strategic judgment, and working with clients. · no date given · not yet resolved

“Like a Granola? We don't have-- We actually probably will build, like, a meeting thing. But this is just like talk to speech, speech to text- ... text to speech, just like in, in, um, any wor- any other app that has this. And we do actually also transcribe files. If you upload hearings or whatever- ... we'll, we'll then, like, transcribe them, put them into text, and so we can do all of our analysis on it.”

Expects: Legora probably will build a meeting product, although it does not currently have one. · no date given · not yet resolved

“I do think that it's gonna be more, maybe not exactly like Palantir, but, like, we-- I think we will have a larger in constant circulation group of FDs that maybe sit with a client for, like, two months or whatever to build out this one thing, and then they go to the next one, et cetera, et cetera.”

Expects: Legora will develop a larger, continuously rotating group of forward deployed engineers who may spend roughly two months with one client before moving to the next. · no date given · not yet resolved

“I know it sounds weird, but like for some of this stuff, what they actually want to do is they wanna trigger certain things to happen. For some part of this, it could-- you could just be... I'm not saying that we're doing this, but it's like a thing that I'm toying with in my head is could that just be like, okay, you trigger the agent and ask it to do this thing?”

Expects: Legora may let users invoke an agent to perform tasks where they only need to trigger an action; the speaker is considering this idea, and does not say it will be implemented. · no date given · not yet resolved

“Uh, or the industry. So one of those things, um, was, uh, the agent actually. So like no one was actually asking for like, "I want us to be, uh, I want the assistant that I'm using to have more agency and do things without me asking it." Like no one, no one ever. But we're just like, "This def- definitely where the industry is going. This is gonna empower you to do so much cool stuff." Um, collaboration was another one where we're like, we think the industry is going in a place where you can collaborate inside of where you're working, which is Lago, and not in like emails and text messages.”

Expects: Legora believed the AI industry was moving toward assistants that could act with greater agency without users explicitly requesting each action. · no date given · not yet resolved

“Like no one, no one ever. But we're just like, "This def- definitely where the industry is going. This is gonna empower you to do so much cool stuff." Um, collaboration was another one where we're like, we think the industry is going in a place where you can collaborate inside of where you're working, which is Lago, and not in like emails and text messages.”

Expects: Legora believed the industry was moving toward collaboration within its work platform instead of through email and text messages. · no date given · not yet resolved

“Yeah, yeah, yeah, yeah, yeah. I think both. It really depends. I think if you're an, an big enterprise, you might have Claude co-work, and then you'll-- It's-- I think it's similar to, like, how I use Linear through Claude, but I still go to Linear. I think enterprise will do that. I think law firms will just use Legora- ... um, because that's simpler and better.”

Expects: Large enterprises may use Claude alongside their existing tools, while law firms will use Legora because it is simpler and better. · 2 Nov 2026 – 2 Nov 2028 · not yet resolved

“No, I don't think so.”

Expects: The speaker does not expect AI labs to cut off competitors in the legal-services sector in the way they have in coding. · no date given · not yet resolved

“Exactly. That's not their call to make. Right? And they don't even know of- like, often what's actually going on. I don't thi- I don't think that's the case. They have so much stuff to capture in knowledge work or in, in, in sort of enterprises knowledge work generally, that, like, legal has to be part of that, just like data analytics has to- ... and sales and marketing and finance. So, like, they have to do things that are good there, but, uh, they're never gonna go as deep as we are. And I think if, if Claude takes a small client, small, uh, you know, corporate clients and they do some of their legal via Claude, like, that's, that's great.”

Expects: The speaker believes enterprise knowledge-work offerings must include legal alongside data analytics, sales, marketing, and finance, but general-purpose providers will never specialize in legal as deeply as Legora. · no date given · not yet resolved

“... so, like, yeah, I mean, I'm looking forward to you buying a law firm and, like-”

Expects: Legora may buy a law firm; the speaker says he is looking forward to this possibility. · no date given · not yet resolved

“Yeah. It, uh- ... it, it's, it's super exciting to, to... I think, like, you know, every industry, especially, like, the top, like, doctors, lawyers, coders, you know, they, they all have to have, like- ... you know, two or three agent labs that, like, just- ... sort of dominate the space.”

Expects: The speaker expects two or three agent labs to dominate each industry, particularly medicine, law, and coding. · no date given · not yet resolved