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Jacob Lauritzen

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2026-06-06
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2026-06-06
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  1. That's a great question. We have this notion internally that there's the speed of AI, there's the speed of our product, and then there's the speed of humans. They're not the same necessarily. I think that's part, honestly, of the beauty of what we're doing is that we're translating the immense speed of AI development into a user base that's been historically underserved. We're sort of taking them along for the ride. Sometimes it can be frustrating, but it's also really rewarding that we can actually take this huge base of people and we can really change the way that they work and their efficiency and their productivity and we can remove buttloads of awful work that they've spent their time doing and focus on the more strategic, more important work.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  2. No, not really. The important thing for us is that we're building something that our clients get a lot of value out of. And we build that as fast as we can, but we don't build it faster than that. There are tons of people that are bibeating. There's people that are vibe coding Legora. There's people that are vibe coding Salesforce and DocuSign and other companies. It's very quick to get to the 90% where it looks the same. in like 80% of the cases it works similarly. It's the other 90% that are difficult. It's like ensuring all the edge cases work and all the unhappy paths and all the audit locking and all the RBAG and all the weird scenarios that you end up at at a certain scale. That's what's difficult. So no, we just keep focused on how do we create the most value for our clients and sprint towards that as fast as humanly possible.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  3. I think taste is important. There's different flavors to taste pun intended. It depends on what you mean with taste. I think in tech taste is like we have an opinionated stance on something. I think if you don't have taste, then you let AI slop, converge to sort of grayness and everything looks the same and everything is just like you need to have taste to have sort of an opinion in this dance in the world. This is who we are. This is what we do and we don't do these other things. And that's not for everyone. I think to me that's what taste means. It's like this is who I am. This is who we are. And some of you are going to hate it. And that's okay because you need to have some edges. You know, if you're just like letting AI rip, you're going to look the same as everyone else.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  4. Yeah, I know exactly something else. Yeah, you're right. Then the question is is it faster for designers to take a prototype to something really crisp in Figma versus prototyping?

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  5. We still use Figmite, yes? I know where you're going with this. I think as soon as you start building a system that's larger than something very small, you want consistency and you want to have a design language and all that kind of stuff. And so you need somewhere to store what your button looks like and what your pages look like and what's this and what's that. And for us, that's Figma. And it works great for it.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  6. Yeah, that's a great question. Probably some companies will skip the design phase. I think we can skip the design phase on functionality. You don't need to necessarily have this long discussion where you said 10 people need to figure out where should the button be. I do think design still has a place, but it's one level above the individual feature that the individual stuff that we build is the

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  7. Actually, the postmortem is a great example. We run them really efficiently now. It's great. If you have an incident, now you just unleash an SRE agent and sort of an incident agent. And it will just super quickly figure out what's going on, look at all the locks, look at all the metrics, telemetry, and it's really, really good. And so instead of having a bunch of engineers wake up in the middle of the night, you still have some waking up in the middle of the night, but they are really well equipped and the postmortem basically almost writes itself as well. So that's actually a great example of something that we can run really efficiently. But I think more broader in sort of the software development lifecycle with AI PMs can prototype super, super fast, which is really, really great because that means you can front load a lot of the work. So like a PM can start however long before once he or she has the smallest inkling of an idea that we might want to do this, they can prototype it and they can just go to users and they can test it and they can iterate themselves. They don't even need to bring in engineering until they have something that's like clearly super valuable. And then we can switch and we can.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  8. Yeah, yeah, yeah. I had a security, though, not me. One of our vendors had a security incident just yesterday. We just rotated a lot. I mean, just to be clear, this was internally doesn't affect any of our clients or anything like that, but it's just, I think we're going to see more of them.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  9. Yes, absolutely. This is very top of mind for me. And that's why we still at Ligora and probably in a bunch of other enterprise software, we still review human PRs every single one just because we have to be sure. I think that's inefficient. I want to get some risk scores in there and change that so that we can run really fast. But fundamentally, I think you're right. I think threat actors are extremely efficient now, which means they can try so many different things and they can keep running at it. And so we need just as good defense. And I'm not sure if we're there yet.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  10. Actually, I took a look recently and it's Claude and Cursor on the top. And there's like, I think it's like 2% between them. So they are really, really close. And then it's miles above the next engineer. So they're way above 50%.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  11. Happens, it's a good problem to have. We're starting to be a lot engineers, we're also starting to be a lot of agents that are working on this together. And so you start to think about how can I mechanistically enforce the system to behave a certain way. And so I'll try to give an example here, which is you can have custom rules, for example, which is like the agent tries to do something and we tell it, no, you can't do that. You know, there's like, for whatever reason, you can't do that because we want the system to be in this way. And I think that type of guardrail setting will see everywhere. And so if you're a big enterprise and you're rolling out AI tooling and you have agents that build your own internal software, you know, you have AI tools that build your HRIS system and your ATS system and whatever else, you probably have some engineers that are just setting up the, like this is where you get the data. This is what you can do. This is what you can't do. And then you can just let agents run amok inside of that system, basically.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  12. Have to set up the guardrails really effectively. This is actually something that I'm thinking about right now. So our code base is starting to get large.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  13. Can we gather data in a really good way so that we can just unleash agents and say, hey, increase conversion rate on my e-commerce store? And they can just like go and run experiments. That sort of setting up the loop so agents can just like run and optimize. I think that's going to be the actual job of a lot of engineers.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  14. Yeah, I think so. I think so. I think that's right. The job of an engineer is changing from typing a bunch of code to sort of one layer above it, which is what does the system look like? And then you can have AI running around inside each of the pieces of the system, but you sort of have engineers thinking about the higher level one abstraction above, which is like, what does the system look like? What are the bets we're making in different places? Do we want to invest into doing something here that we can reuse a bunch of places over here? And it's going to make everything much more stable. That's one of them. I think the other thing that engineers are doing more and more, which is an explicit role with us soon, which is like kind of the meta engineering of making agents really effective. So you know how you have developer experience teams that they might help write custom linting or custom developer setups to make developers efficient. We kind of need to have the same team for agents. Like how do we make agents really, really effective? How do we make sure that we can enable agents to independently self-improve the system?

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  15. Yeah, that's the nice rough edge still. But no, I completely think that's right. I think that's part of it is we have AI review bots. You can have like a security review, you can have different specialized reviewers. They do tons of review and they sort of iterate with the AI coder. And it's like kind of weird because you see this pattern where it's like agents fighting each other until they arrive at something. But even then, I think current review tools are not good enough. I think we need something new. I keep telling people at all events that I'm at like if you're going to do a startup, please do something that solves the review thing because no one wants to look at the older lines of code. What's important is what's the impact on systems architecture? What's the impact on systems design, stability, security boundaries? How does it sort of take our system in the right direction? That's the kind of stuff that you want to review. And if that doesn't change, then maybe you don't have to review it at all. Just, you know, unleash the agent. But if it does, if there are some strategic trade-offs, then you want a human to be like, yeah, this is the right direction.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  16. That's a great question. Part of that is how do we make our PMs as efficient as possible? How do we sort of take all the working with clients, synthesizing what they think, our own strategic priorities, our own taste and opinion?

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  17. And then it's how can we actually do the product piece much more efficiently? Because if you believe that code is cheaper to write, then naturally the two other things are bottlenecks. And that means one of the focus areas is how do we do the product work as efficiently as possible.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  18. More, we ship more, we ship faster, we debug things faster, we iterate faster, everything is faster now. And each engineer can produce much more than they could previously. And that just has a ton of ripple-on effects throughout the org, basically, and how you structure it. Because, I mean, I think a way I like to think about it is when you build software, there's kind of like three phases. There's phase one, which is the product work. What are we building? Translate user pain, user dreams, nightmares into something tangible that we can try and we can iterate on and we can figure out if it works. And once you have that, you know sort of what you want to build. Then you build it, you write the code, and then you review the code and you merge it and you get it going. And number two was the primary bottleneck for the past 100 years, almost. So like the rate limiter was how quickly can you write code? That is now super cheap. So that's sort of been compressed. And so the bottleneck now is like the two other ends, which is review. How can we do that much more efficiently?

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  19. We still have cursor users. The cursor harness is quite good. You know, there's some personality differences in R team, but a lot of people still use cursor. Some use cloud code. Some use Py because CloudCoach harnesses is annoying sometimes. We allow people to do both.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  20. Everything's just changing all the time right now. Productivity is through the roof, processes are up in the air. You can be huge teams. You can be tiny teams. Productivity is through the roof.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  21. I'd like to think that it's a blessing. I just have to be really, really humble about it. So essentially, I don't have any priors coming into how to build an engineering org. Building an engineering org in 2026 is very different from doing it in 2024, maybe even. And so I think in that way, it's really good that I come in naive. And I'm like, okay, let's try to do it this way. And if it doesn't work, we keep iterating. Just like we keep iterating on our product, we keep iterating on sort of our organization and our processes. And I just work with the team. Like what's working well? what's not working well how do we solve that just like any other problem dude

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source

  22. I don't want to say infinite, but for me it's a question of opportunity cost. We're in a competitive environment. So many things that we can do. The cost of not doing it is extremely high. And it almost outweighs any sort of token cost. Honestly, just work harder than the 800 pound gorilla. People underestimate this. No one in the 800 pound gorilla is extremely excited to be there.

    2026-06-06 · The Twenty Minute VC · 20Product: Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups with Jacob Lauritzen, CTO @ Legora · IDENTIFIED FROM THE TRANSCRIPT · source