Harvey unveils Tenet, a model post-trained for long-horizon legal work
rhythmrg · x · 2026-08-21
Harvey shared the results of six months of research across benchmarking, post-training, and open-weight models, introducing Harvey Tenet, trained specifically for long-horizon legal work while generalizing across other agent and legal benchmarks.
New unlocked specializations include: M&A diligence (coordinating high-scale, long-horizon tasks in RLM harnesses), Review Tables (high-volume document review and structured data extraction), and Firm Knowledge (leveraging memory and emergent structured taxonomies of firm knowledge for better search).
More from Models
- Monitors Detect Significant Behavior Shift in Claude Opus — altryne · 2026-08-21
- OpenAI pauses largest training run ever as DeepSeek 'cooks again' — Fireship · 2026-08-21
- DeepSeek V4 Pro benchmarks close to Opus 5 on KernelBench-Hard — teortaxesTex · 2026-08-21
- Liquid AI releases DSpark draft models, speeding up decoding by up to 4x — JosephJacks_ · 2026-08-21
- Users report Qwen Uncensored still frequently refuses requests — BLUECOW009 · 2026-08-21
- Pander Score Leaderboard Reveals Sycophancy Differences in Major AI Models — RobbWiller · 2026-08-21