Harvey Raises $550 Million at $15.5 Billion Valuation to Build the Next Generation of Legal AI

Harvey, the AI platform focused on legal and professional services, has raised $550 million in fresh funding at a $15.5 billion valuation, marking another major step in the company's rapid rise within the legal technology market. Some market reports have placed the transaction valuation at $15.6 billion.

The new funding comes only months after Harvey's previous $200 million round at an $11 billion valuation, showing how quickly investor confidence in specialised legal AI has grown. Harvey has now raised more than $1.5 billion in total funding.

Funding Round and Investors

The latest round was co-led by Diffusion and Lightspeed Venture Partners.

New investors include Sapphire Ventures and Whale Rock, while existing backers including Sequoia Capital, Kleiner Perkins, Andreessen Horowitz (a16z), Coatue, Conviction, Elad Gil, Evantic, GIC, Goldman Sachs Alternatives, Verified Capital and WNDR also participated.

The financing follows Harvey's introduction of its first post-trained open-weight AI model and the launch of Harvey LAB, a benchmark designed to evaluate AI agents working on legal tasks.

From Legal Assistant to AI Intelligence Platform

Harvey began with a straightforward idea: use AI to help lawyers handle time-consuming legal work more efficiently.

Today, its ambitions are much larger.

The company is developing AI systems that can help law firms, corporate legal departments and professional-services organisations turn their internal knowledge, work product and experience into reusable intelligence.

Instead of simply providing lawyers with a chatbot, Harvey wants organisations to be able to build, customise and own AI-powered intelligence around the way they work.

Its platform is used for a wide range of professional workflows, including legal research, drafting, analysis and other knowledge-intensive tasks.

Harvey Is Building Its Own Legal AI Models

One of the biggest developments behind the latest funding is Harvey's move toward developing and customising its own AI models.

The company recently introduced Harvey's first post-trained open-weight model, Harvey Tenet. The model was built using the open-weight Kimi K3 model and further trained with legal data, with support from inference provider Fireworks.

This strategy could give legal organisations greater control over how AI is trained and deployed, rather than requiring them to depend entirely on general-purpose models developed by large AI companies.

Harvey is also encouraging customers to use open-weight models and post-train them using their own organisational knowledge and data.

More Than 3,000 Organisations Use Harvey

Harvey's customer base has expanded rapidly.

The company now serves more than 3,000 organisations, compared with around 1,300 customers earlier in 2026. Its clients include major law firms and corporate legal departments.

Harvey says 80% of Am Law 100 law firms use its platform, while legal teams at five of the Fortune 10 companies are also customers.

The company has therefore moved beyond being an experimental AI product and is increasingly becoming part of the technology infrastructure used by major legal organisations.

Revenue Has Crossed $400 Million

Harvey's rapid valuation growth has also been accompanied by strong commercial performance.

The company has surpassed $400 million in annual recurring revenue, according to recent reports. Its revenue has roughly doubled since its previous major funding round, while its customer base has continued to expand.

That combination of revenue growth, enterprise adoption and expanding AI capabilities has helped Harvey become one of the world's most valuable legal AI companies.

Meet the Founders

Harvey was founded in 2022 by Winston Weinberg and Gabe Pereyra, combining legal expertise with deep experience in artificial intelligence research.

Winston Weinberg — Co-Founder & CEO

Winston Weinberg is a former lawyer who worked as a litigator at O'Melveny & Myers before co-founding Harvey.

His experience working directly within the legal profession gave him first-hand exposure to the large amount of repetitive research, drafting and analytical work performed by lawyers.

Weinberg's legal background has been central to Harvey's strategy of building AI specifically around professional workflows rather than treating legal work as simply another general-purpose AI application.

Gabe Pereyra — Co-Founder & President

Gabe Pereyra brings the technical side of the founding team.

Before Harvey, Pereyra worked as a research scientist at Google DeepMind and Meta, giving him extensive experience in machine learning and AI research.

The combination of Weinberg's legal expertise and Pereyra's AI background helped shape Harvey into a specialised platform designed around the needs of lawyers and professional-services teams.

The Company Started With GPT-3 Experiments

Harvey's origins go back to early experiments with GPT-3.

Weinberg and Pereyra began exploring whether generative AI could handle complex legal tasks and process large amounts of legal information. What started as an experiment eventually evolved into a dedicated enterprise platform for law firms and corporate legal teams.

That early focus on legal-specific workflows has helped Harvey differentiate itself as competition in AI-powered legal services has intensified.

Why the New Funding Matters

The latest $550 million investment is about more than expanding Harvey's existing product.

The company is increasingly trying to control more of the underlying AI technology that powers its platform. By developing its own models and enabling customers to customise open-weight models, Harvey believes legal teams can create AI systems that reflect their own knowledge, standards, workflows and institutional experience.

That could become particularly valuable for large law firms and corporations, where confidentiality, accuracy and control over proprietary information are critical.

Harvey Also Acquired Guardrails AI

Alongside the funding announcement, Harvey has also acquired Guardrails AI, an AI-agent security company.

The acquisition fits with Harvey's broader push toward more autonomous AI systems, where security, reliability and control become increasingly important as AI agents take on more complex professional tasks.

What's Next for Harvey?

Harvey plans to use the new capital to accelerate product development, strengthen its AI research and expand its team.

The company wants to become a long-term technology partner for law firms, in-house legal departments and professional-services organisations, rather than simply another AI productivity tool.

Its broader vision is that companies will increasingly build their own competitive advantage around AI trained and adapted to their specific knowledge and ways of working.

With more than $1.5 billion raised, over $400 million in recurring revenue, more than 3,000 organisations using its platform, and a valuation above $15 billion, Harvey is now one of the most significant companies in the rapidly expanding legal AI market.