Sam Brunt
56 posts

Sam Brunt
@sambrunty
Co-Founder | Overmind | supervision for super-intelligence


Today we're opening offices in Madrid, Milan, and Paris, and building a dedicated engineering hub in London. The demand came before we did. Organisations across Spain, Italy, and France were already running @WeAreLegora on their most complex work before we had a single person on the ground there. When customers adopt you in a market you haven't entered yet, you listen. These are markets that sit at the centre of European M&A, infrastructure, and cross-border regulatory work. The matters are hard, and the demand for AI that can actually handle that complexity is real. That's the work we're built for. London becomes the third pillar of our engineering org, alongside Stockholm and New York. The engineers who understand how AI applies in regulated, professional settings are concentrated there, shaped by proximity to some of the most demanding legal and financial institutions in the world. That's exactly the problem we're solving, and exactly the team we want building it. Sixteen cities. Four continents. Seven hundred EMEA hires in the next 6 to 12 months. All of it pointed at one thing: making lawyers 10x better at what they do. To be part of it, take a look at legora.com/careers






We partnered with @FireworksAI_HQ to train open-source models for legal. Here's what we found: 1) Hybrid legal agents can beat frontier models on quality and cost by routing selectively to a frontier advisor. We tested a hybrid setup where GLM 5.1 served as the primary worker, routing tasks to Opus 4.7 as an advisor when needed. GLM invoked Opus sparingly, just 0.83 times per task on average. The hybrid setup beat Opus on both quality and cost: 18% all-pass vs 14%, at $368 vs $954 across the same 100 tasks. 2) Post-training can push open models to frontier-level legal performance. On a 100-task slice of our Legal Agent Benchmark (LAB), SFT moved Kimi 2.6's all-pass rate from 11% to 15%, beating Opus' 14%. But the cost gap was even more striking: $84 vs $954 across the same 100 tasks, or ~11x cheaper. We're excited to continue working with @FireworksAI_HQ on the next generation of open-source legal agents.












Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.











