Even more with a direct sales motion

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.

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.

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."

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.

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.