Harvey Introduces Harvey Tenet: A Kimi K3 Base Post-Trained with Fireworks for Long-Horizon Legal Agent Work
MarkTechPost 1 month ago 12
Harvey introduced Harvey Tenet, its first post-trained Kimi K3 checkpoint for long-horizon legal agent work, based on asynchronous reinforcement learning in sandboxed legal environments. Tenet was trained using roughly 150 NVIDIA B300 GPUs over two months and improves held-out performance on Harvey’s Legal Agent Benchmark by almost twice as many tasks and 20% more for LAB: Contracts. It is being offered only as a research preview announced August 20, 2026 (recipe but no weights/API), with enterprise access via Harvey’s platform and plans to move the method into production over time.