An update on @harvey's post-training effort. We’re introducing Harvey Tenet, which is a culmination of research investments over the last 6 months across benchmarking, post-training, and open-weight models. Our model is trained specifically for long horizon legal work, but we also see broad generalization across other agent and legal benchmarks. We’re also highlighting new capabilities / specializations that have been unlocked through our research: 1. M&A Diligence: Post-training in RLM harnesses to enable models to effectively coordinate high-scale, long-horizon tasks 2. Review Tables: Making models more effective and efficient at high-volume document review and structured data extraction 3. Firm Knowledge: Models that are trained to understand firm knowledge through memory and emergent, structured taxonomies, enabling higher-quality and more efficient search Proud of the Harvey research team for this accomplishment and to be building alongside the frontier ecosystem: @FireworksAI_HQ @Kimi_Moonshot @NVIDIAAI @EngramLab @appliedcompute @mercor @trajectorylabs @SnorkelAI