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

Harvey 估值达到 155 亿美元，距离上次 110 亿美元估值仅过去数月

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. 法律 AI 初创公司 Harvey 深受风投机构追捧。该公司周三宣布，已再次筹集 5.5 亿美元资金，此次估值达到 155 亿美元。

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. 本轮融资由 Diffusion 和 Lightspeed Venture Partners 共同领投。在此之前，该公司曾于 3 月宣布以 110 亿美元的估值完成了 2 亿美元的融资，而那距离其 12 月份 80 亿美元估值的融资也仅过去数月。

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. 随着这笔最新资金的注入，该公司累计融资额已超过 15.5 亿美元，并在约九个月内将估值翻了近一番。

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. 与 Databricks 一样，该公司并未明确本轮融资的轮次。据 PitchBook 估计，自 2023 年以来，该公司已至少完成了八轮定价融资（其中五轮发生在 2025 年之后）。由于其中几轮被视为扩展轮，本轮融资可被视为 F 轮。

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 (which also helped Cursor train its homegrown model). 在获得这笔新资金的前几周，Harvey 刚刚发布了其首个自研模型 Harvey Tenet。该模型基于开源权重模型 Kimi K3 构建，并在推理服务商 Fireworks（该公司也曾协助 Cursor 训练其自研模型）的帮助下，利用法律数据进行了后训练。

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. 除了提供模型外，Harvey 还鼓励其客户采用并后训练自己的开源权重模型。因此，Harvey 正迅速成为一个典范，展示了整个法律行业如何在深度使用人工智能的同时，不必依赖 OpenAI 和 Anthropic 等封闭的前沿 AI 实验室。