Harvey AI, a legal AI startup, seeks to make lawyers more efficient by streamlining workflows. AI technology has already contributed to productivity gains and has the potential to dramatically reshape the legal industry.

Named after the fictional character Harvey Specter from the television series Suits, the company’s customers are primarily elite law firms and large corporations. The company’s legal AI tools increase productivity with tasks including due diligence review, contract analysis, litigation case assessment, and tracking regulatory compliance. Transactional attorneys can use Harvey for everything from generating contract provisions to deal process management. Litigators frequently use Harvey for case law research, developing advocacy strategies, and reviewing documents in the discovery phase of litigation.

Winston Weinberg, co-founder and CEO of Harvey, formerly worked at a big law firm. His co-founder, Gabe Pereyra, was previously a research scientist at Google DeepMind. They were inspired to launch Harvey after experimenting with OpenAI’s GPT-3 technology. They realized that large language models could transform the nature of legal work and set out to build a startup.

Founded in 2022 in San Francisco, Harvey has the backing of major investors including Sequoia Capital, Kleiner Perkins, Google Ventures, Coatue, and OpenAI Startup Fund. It raised a $150 million funding round in October 2025 led by Andreessen Horowitz, putting the company’s valuation at more than $8 billion. This followed a $5 billion Series E funding round in June 2025 and a $3 billion Series D funding round in February 2025.

Harvey is reportedly generating more than $100 million in annual recurring revenues. The company is focused on winning new customers and convincing existing customers to renew their subscriptions. Harvey also hopes to expand its global footprint in the coming years. Harvey also may apply its AI solutions to other professional services markets, such as tax accounting.

Harvey has also entered into partnerships with top law schools to help students and faculty incorporate AI into legal education. For example, Notre Dame Law School in Indiana announced a partnership with Harvey to train the next generation of lawyers on how to integrate AI tools into their future legal practice.

“Artificial intelligence is here. It is increasingly more sophisticated and will rapidly become more integral to our work. Law firms and organizations will expect expertise in the use of AI, so it is incumbent upon us to prepare our students to utilize it effectively and ethically,” said the Dean of Notre Dame Law School.

Despite Harvey’s supercharged growth rate, the company faces stiff competition in the legal tech market. Larger existing players such as Thomson Reuters and LexisNexis, which provide legal research databases, have made significant investments in legal generative AI tools. Rival legal tech startups, such as Ironclad and Luminance, have also introduced AI-powered contract management and document analysis tools for large law firms and in-house legal teams at major corporations.

While rapid advances in AI technology have sparked fears that many white-collar jobs will be wiped out, Weinberg believes lawyers will benefit rather than suffer from AI advancements. He believes AI tools will assist junior lawyers with completing mundane legal tasks faster so there is more time to focus on complex legal analysis, rather than replacing junior lawyers.