Harvey's valuation climbs to $15.5B, just months after hitting $11B.

Harvey's valuation climbs to $15.5B, just months after hitting $11B.
Summary
Harvey raised $550 million in funding, achieving a $15.5 billion valuation.
The company has now raised over $1.55 billion, nearly doubling its valuation in nine months.
Harvey introduced its first in-house model, promoting open-weight model training for legal applications.

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Harvey, the innovative legal AI company that’s capturing the attention of venture capitalists, recently disclosed that it has successfully secured an additional $550 million in funding, bringing its valuation to an impressive $15.5 billion, as announced on Wednesday.

This latest funding round was jointly led by Diffusion and Lightspeed Venture Partners and comes shortly after a prior round in March where the company raised $200 million at an $11 billion valuation. Remarkably, this growth follows a December round that valued Harvey at $8 billion, marking a rapid ascent in a brief timespan.

With this recent influx of capital, Harvey's total funding has surpassed $1.55 billion, effectively doubling its valuation in less than nine months. Like other successful tech firms, Harvey has not specified the name of this funding round, though Pitchbook indicates that the company has completed at least eight funding rounds since 2023, with five occurring since 2025. Given that some of these rounds were extension rounds, this could likely be categorized as a Series F.

Notably, this funding follows Harvey's introduction of its first proprietary model, known as Harvey Tenet. This model, developed from the open-weight Kimi K3 model and fine-tuned with legal data in collaboration with inference partner Fireworks (who has also assisted Cursor), represents a significant advancement for the company. Beyond just providing models, Harvey is actively promoting the adoption and post-training of open-weight models by its clients. This positioning showcases how the legal sector can harness AI technologies effectively while diminishing reliance on leading AI developers like OpenAI and Anthropic.

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