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Harvey hits $15.5B valuation, months after reaching $11B

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Why This Matters

Harvey's valuation nearly doubled in nine months to $15.5B, underscoring how aggressively investors are betting on vertical AI applications in high-value professional services like law. Its move to build an in-house model on open weights, and to push law firms to post-train their own, signals that application-layer companies may not need to depend on frontier labs like OpenAI or Anthropic.

Key Takeaways

In Brief

Harvey, the legal AI startup that VCs can’t get enough of, has raised another $550 million in funding, this time at a $15.5 billion valuation, the company announced on Wednesday.

The round was co-led by Diffusion and Lightspeed Venture Partners and follows the previous $200 million round at an $11 billion valuation announced in March. And that was just a few months after an $8 billion valuation from a round in December.

With this latest infusion of capital, the company has raised more than $1.55 billion total and nearly doubled its valuation in about nine months. Like Databricks, the company didn’t name the round, though it has completed at least eight priced rounds since 2023 (five of them since 2025), Pitchbook estimates. Since a couple of those were considered extension rounds, this one could be considered a Series F.

The fresh cash comes a couple of weeks after Harvey announced its first in-house model, Harvey Tenet, built from open-weight model Kimi K3 and post-trained with legal data with the help of inference provider Fireworks (who also helped Cursor train its homegrown model). In addition to offering a model, Harvey is encouraging its customers to adopt and post-train their own open-weight models. So Harvey is quickly becoming an example of how an entire industry — law — can both heavily use AI and not rely on proprietary frontier AI labs like OpenAI and Anthropic.