Harvey has introduced Harvey Tenet, its first in-house large language model, designed to handle multi-hour legal work at lower cost than the third-party models it currently relies on. Trained on a version of Chinese open-source model Kimi K3, Tenet was shaped using data created by attorneys hired through Mercor and Snorkel. It launches as part of a broader “Harvey II” rollout that also includes a new Memory feature. Co-founder Gabe Pereyra said Tenet could eventually serve as a base for law firms to train custom models on their own institutional knowledge, moving Harvey closer to a professional services model.
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