TECH Signal 398
Harvey releases Harvey Tenet, its first proprietary model, built on a version of Kimi K3 for legal work
↗
Harvey has announced Harvey Tenet, its first in-house proprietary AI model for legal work, trained on mock disputes and case files using a version of Kimi K3, marking a shift from its previous reliance on other companies' models.
Harvey built an $11 billion legal-software business on third-party AI models; moving to a proprietary model gives it more control over training data and model behavior in a domain where accuracy and data sensitivity are critical. For engineers in legal tech, this introduces a new model option specifically tuned for legal tasks rather than general-purpose reasoning.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Harvey Tenet is Harvey's first in-house, proprietary model, trained on mock disputes and case files using a version of Kimi K3.
The model targets legal work specifically, departing from Harvey's previous approach of building on other companies' AI models.
Harvey's legal-software business reached an $11 billion valuation while relying on third-party models, suggesting significant investment behind this proprietary shift.
THE CLUSTER