Legal AI startup Harvey hits $11B valuation with $200M funding as investors look beyond OpenAI and Anthropic

The AI boom has minted giants at a staggering pace. OpenAI and Anthropic now command a combined valuation north of $1 trillion, pulling talent, capital, and attention into a tight orbit. The concern across the industry is simple: if the model layer takes most of the value, what’s left for everyone else?

Legal AI startup Harvey is making a case that plenty remains.

On Wednesday, Harvey said it has raised $200 million in fresh funding at an $11 billion valuation, a sharp jump from the $8 billion mark it reached just a few months ago. The round was led by Singapore’s GIC and Sequoia Capital, which has now backed Harvey three times. That kind of repeat conviction tends to show up when investors believe a company is defining its category.

Beyond OpenAI and Anthropic: Harvey reaches $11B with fresh $200M funding

Harvey sits in a growing wave of startups that build on top of large language models rather than compete with them. The bet is straightforward: the real opportunity lies in applying AI to specific industries where context, judgment, and workflow matter as much as raw model capability.

Pat Grady, a partner at Sequoia, put it this way: “They sort of wrote the playbook for what it means to be an AI-native application company, which is the same thing Salesforce did back in the day with the cloud transition.”

That comparison carries weight. Salesforce didn’t invent the cloud. It turned it into something businesses could actually use at scale. Harvey is chasing a similar path, focused on legal work that has long resisted automation.

Harvey was founded in 2022 by CEO Winston Weinberg, a former lawyer, and Gabe Pereyra, who previously worked at Google DeepMind and Meta. The idea took shape after the pair began experimenting with early versions of GPT-3, well before generative AI hit the mainstream.

Harvey co-founders Winston Weinberg and Gabe Pereyra. Courtesy of Harvey

What they saw was a chance to rethink how legal work gets done. Contracts, compliance reviews, due diligence, litigation prep—tasks that once consumed hours can now be handled far more quickly with AI assistance. The product has found traction. Harvey says more than 100,000 lawyers across 1,300 organizations are already using its tools.

That growth is showing up in the numbers. The company reached $190 million in annual recurring revenue in January, up from $100 million just months earlier, according to a CNBC report. Its customer list includes major law firms and enterprises such as NBCUniversal and HSBC.

Harvey is part of a broader shift. Investors are starting to spread their bets beyond the companies building foundation models. Alongside OpenAI and Anthropic, newer entrants like Perplexity AI and Sierra have already crossed the $10 billion valuation mark. The difference is where they sit in the stack.

Weinberg isn’t focused on valuation milestones. “I think any company right now, the worst mistake you can possibly make is to become complacent, because how you build a company is completely changing,” he said. “The companies that succeed are going to be the ones that are relentlessly adapting.”

That mindset is shaping Harvey’s next move. The new funding will go into expanding its AI agents—software that can carry out tasks on behalf of users—and into building out legal engineering teams across key markets.

The bigger picture is starting to come into focus. The model layer may be consolidating, but the application layer is opening up. Companies like Harvey are betting that the real value of AI will be measured not just by how smart the models are, but by how effectively they get used in the messy, high-stakes work that businesses deal with every day.