Harvey's critics have a favorite knock against the $11 billion legal-software startup. "It's a ChatGPT wrapper." I'd argue that line just lost some of its punch. Harvey is becoming a model provider.

I have the exclusive story on the launch of Harvey Tenet, the company's first in-house, proprietary large language model for legal work. I included an excerpt below.

Head to u/businessinsider for the full story: https://www.businessinsider.com/harvey-builds-tenet-ai-model-for-legal-work-2026-8

Harvey's first LLM for legal work is here

Harvey built an $11 billion legal-software business on top of other companies' AI models. Now it's trying to prove it can build one of its own.

On Tuesday, Harvey introduced Harvey Tenet, its first in-house, proprietary model for legal work. Tenet is designed to help Harvey's software take on more of the tasks typically done by lawyers over hours or days, at a lower cost than the third-party models it relies on.

The move comes as the companies behind the biggest general-purpose models are circling the legal market. Anthropic has been chasing lawyers with plugins for document review and drafting, while OpenAI has hired Ironclad founder Jason Boehmig to lead its push into legal. Google and Meta may not be far behind.

Their sudden interest raises an uncomfortable question for Harvey. What happens when your supplier decides it wants your customers, too? And how long until one of them catches up to Harvey?

Building a bespoke model could give Harvey more control over both its costs and its fate.

Like many startups, Harvey builds on a smorgasbord of models from companies like OpenAI and Anthropic. Every time a lawyer uses one of those models through Harvey, the company has to pay the model provider for the call — a cost that can rack up fast as usage grows.

A capable model of its own could let Harvey route more work through its own engine, reducing the hefty fees it pays to use outside models. That could offer a path to better margins without asking customers to pay more.

Cost was one motivation. Quality was another, said Gabe Pereyra, the former Google DeepMind researcher who left to start Harvey with Winston Weinberg. He noted that Harvey already routes different tasks to different models based on what they're good at. He argues that Tenet will give customers another option in that mix — one that's been shaped around the work they actually care about.

To build it, Harvey first needed to create data that could teach a model how lawyers think. So the company hired attorneys, on staff and on contract through companies like Mercor and Snorkel, to dream up mock disputes and case files, then grade the models on how well they reasoned through them.

From there, Harvey used the material to train a version of Kimi K3, a low-cost, open-source model from the Chinese startup Moonshot. Since its July release, the model has whipped the tech world into a frenzy over its power and price.

Tenet is part of a broader rollout the company is calling Harvey II. Anique Drumright, Harvey's chief product officer, said it's also adding a new "Memory" feature that lets users save preferences about how they work, so its agents can carry those instructions across tasks.

Read on: https://www.businessinsider.com/harvey-builds-tenet-ai-model-for-legal-work-2026-8