cto at @WeAreLegora - we're hiring!

🇸🇪
Joined March 2022
I'm so excited to be CTO all it cost me was the respect of the eng team
1
33
679
If you’re going through a door 10m in front of me just leave it. Please don’t make me awkward semi-run while you hold it
2
14
306
When hiring, I always look for ambition. Doesn’t matter what, but they should be - or want to be - excellent at something. This is not what I meant @bryan_johnson
Breaking news… my boners are now longer than 4 hrs Longer than > Titanic > Lord of the Rings (extended edition) Stats: > 4 hr 2 min > 5 episodes > 93% strength Out of database of 55,000 measurements: > 99th percentile among all males > 93rd percentile among men 20-25 years of age > 100% percentile among men my age > only 230 sessions exceed 4 hrs Nighttime erections (NTE) are a tier 1 longevity biomarker as critical to systemic health as VO2 max, resting heart rate, HRV, and blood pressure. Women have them nightly too. NTEs decline with age. Mine have been getting stronger over the past 18 months. This is a personal best. Low night time erection scores mean the following: > 2x risk of heart attack and stroke in next 4 years > early warning for cardiovascular problems > poor nervous system regulation Protocol for strong NTEs: > high sleep quality > cardiovascular fitness > tadalafil 5 mg - I take this longevity medication daily > calm nervous system
3
15
706
Jacob Lauritzen retweeted
if I was Dumbledore I would've hid the philosopher's stone in the aws console
94
437
59
5,814
205,642
this is how i orchestrate coding agents now
3
1
17
822
"direct sales motion" is to engineers what "agentic harness" is to sales people
Replying to @jacsebl
Even more with a direct sales motion
21
1,124
numbers go brrr
5
2
56
2,237
evals evals evals
The Legora BAR is back with a new update. Since launching the Benchmark for Agentic Reasoning, we’ve continued expanding it and testing the latest frontier models against the complex, end-to-end legal work our customers do in Legora. The goal remains the same: understand what actually improves legal work as models and our harness evolve. On short tasks the field is essentially flat, with nearly every model within 3% of the average. The separation happens on long cases, where the spread runs from 0.78x to 1.15x. Opus 5 and Fable 5.1 lead the long tier, with Muse Spark 1.3 and Gemini 3.8 Flash close behind at around 1.09x to 1.10x. As the landscape gets more competitive between different models, the trade-offs are becoming just as important as raw quality. We build the BAR to make those differences visible, both for us and for our customers.
2
21
1,517
Why do Americans insist on flying in total darkness? It’s 1pm for gods sake
1
9
688
navier-stokes insignificant in comparison
We're adding support for AGENTS.md to Claude Code. Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md. You can toggle this behavior in /config.
1
10
889
Thanks @etnshow for having me on! And thanks anthropic for putting me in a hotel room with a nice view
Law firms buying GPUs to train their own AI models are solving the wrong problem according to @WeAreLegora CTO @jacsebl: "[Law firms] want to control their IP. They want to build a durable asset. They want to build a system of knowledge that's self-improving over time and become sort of their unique IP." "Why do you go to Firm X? They have this combined knowledge of 10,000 lawyers over many years." ""If you have to get data engineers and try to fine-tune the data in there, it's really difficult to update." "[Instead] You can build a system in artifacts. You can build it in skills, and you can build a knowledge graph, and you can build memory systems and personalisation." "If it's artifact, you have knowledge managers and people from the firm that can look through the ontology and the knowledge graph or the skills and say, "Yeah, this is right. We like this. We don't like this." And they can edit it. They can fine tweak it super easily." "If you have an agent that produces something, you can say, "This was wrong. Please don't do that again." And it will just update it, and then it's better next time."
1
24
1,503
Jacob Lauritzen retweeted
Law firms buying GPUs to train their own AI models are solving the wrong problem according to @WeAreLegora CTO @jacsebl: "[Law firms] want to control their IP. They want to build a durable asset. They want to build a system of knowledge that's self-improving over time and become sort of their unique IP." "Why do you go to Firm X? They have this combined knowledge of 10,000 lawyers over many years." ""If you have to get data engineers and try to fine-tune the data in there, it's really difficult to update." "[Instead] You can build a system in artifacts. You can build it in skills, and you can build a knowledge graph, and you can build memory systems and personalisation." "If it's artifact, you have knowledge managers and people from the firm that can look through the ontology and the knowledge graph or the skills and say, "Yeah, this is right. We like this. We don't like this." And they can edit it. They can fine tweak it super easily." "If you have an agent that produces something, you can say, "This was wrong. Please don't do that again." And it will just update it, and then it's better next time."
3
2
10
2,694
sometimes I hug my girlfriend and it is nice
I frequently lay on top of Kate with all of my bodyweight. The deep pressure calms her nervous system, quiets racing thoughts, and releases oxytocin which lowers cortisol. We call it GLP-Bryan.
1
16
995
The Jev model direction makes so much sense that it almost seems obvious in retrospect. A lot of llm usage today is purely decision making/picking from options, not writing. Forcing the same kind of model to do both types of work seems suboptimal
2
1
6
632
For the first time, firms can build compounding engines of institutional knowledge. Those that succeed will become massively more valuable than those that don't.
2
11
2
54
5,301
Jacob Lauritzen retweeted
Data we are seeing at Legora is that as law firms and legal teams adopt Legora, they become far more efficient and decide to expand their teams to pursue new business opportunities and functions. A great reminder that the world is not zero-sum.
Every journalist asks me a version of the same question. Will AI mean fewer lawyers? Our customers are hiring more of them. Put complexity of the task on one axis and volume on the other. Low-complexity, high-volume work moves to agents, and that pushes the pyramid up. More of the hard work gets done, because someone finally has the capacity to do it. Then there is demand. When something gets faster and better, the world asks for more of it. Jevons noticed it in 1865. Better steam engines made Britain burn far more coal. That was coal, not law, but the mechanism is the same. More M&A, more disputes, more regulatory work, more companies being started. The pie is growing. An independent study interviewed 30 firms across the AmLaw 200, Magic Circle and top international firms. 42% said Legora has helped them win new work, directly or indirectly. 45% said the same about expanding relationships with clients they already had. 39% have taken on matters that would previously have needed more people, more time, or a no. One firm in that study went through a corporate client's entire technology supply chain, every contract, to work out what they were paying and where. A human team would have needed weeks and the cost would have killed the project before it started. With Legora it took four to five days. Their own summary: it was work that we would not have done in the past. The work was not economical before, so nobody did it and nobody billed for it. Now it gets done, and someone has to do it.
10
8
3
99
23,075
Advancements are constant, surprising, and uneven. There is no best model
8
20
5
97
8,548
Jacob Lauritzen retweeted
Finance is entering its Legora moment
36
26
22
205
85,783