Harvey AI vs Casetext

By valuation, Harvey AI is the larger company at $8B versus $650M — a 12.3x difference. Size can also be measured by team: Harvey AI employs 200 people while Casetext has 120 employees.

Harvey AI has raised more in total funding at $806M, compared to Casetext's $64M — a gap of $742M. Combined, the two companies have completed 6 known funding rounds.

Harvey AI leads with an Awaira Score of 78/100, while Casetext sits at 75/100. That 3-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Harvey AI was founded by Winston Weinberg in 2022. Casetext was founded by Jake Heller in 2013. Visit each company's profile on Awaira for a full founder biography.

Harvey AI: Harvey AI is a legal artificial intelligence company founded in 2022 that provides AI-powered software solutions for law firms and corporate legal departments. The company develops large language model-based tools designed to assist legal professionals with document review, legal research, contract analysis, and other knowledge-intensive tasks. Harvey's platform integrates generative AI technology to help lawyers work more efficiently across various practice areas including corporate law, litigation, and regulatory compliance. The company is backed by prominent investors and has achieved a valuation of $1.5 billion as of its Series D funding round, with total funding reaching $206 million. Harvey AI operates in the rapidly expanding legal tech sector, competing alongside other AI-driven legal platforms such as LexisNexis+ AI and other enterprise legal AI solutions. The company has secured notable law firm clients and continues to expand its customer base within the legal services industry. Harvey's approach focuses on developing domain-specific AI models trained on legal data and workflows, rather than generic large language models. The company positions itself as infrastructure for legal professionals rather than a replacement for human judgment. Growth trajectory indicates strong market adoption within the legal sector, driven by increasing demand for AI-assisted legal work and operational efficiency improvements. Harvey AI has secured over $200 million in funding at a $1.5 billion valuation by focusing specifically on legal-domain AI rather than general-purpose language models. Casetext: Casetext is an AI-powered legal research and document automation platform founded in 2013. The company develops software that assists legal professionals with legal research, contract analysis, and document drafting through machine learning and natural language processing technologies. Its flagship product, CoCounsel, is an AI legal assistant that helps attorneys perform legal research, due diligence, and document review more efficiently. The platform integrates generative AI capabilities to analyze case law, statutes, and legal documents, enabling lawyers to reduce time spent on routine tasks and focus on higher-value work. Casetext positions itself in the legal AI market alongside competitors like LexisNexis, Westlaw, and newer entrants focused on AI-assisted legal work. The company has built its technology on proprietary legal databases and machine learning models trained on legal content. Its customer base includes law firms, in-house legal departments, and corporate legal teams seeking to modernize their research and document workflows. Founded with $64M in total funding, Casetext achieved a $700M valuation before being acquired, demonstrating significant growth in the legal technology sector. The acquisition reflects the increasing consolidation in legal AI as larger players and investors recognize the market opportunity. The company represents broader trends toward AI adoption in professional services, particularly in knowledge-intensive industries like law. Casetext pioneered accessible AI-assisted legal research for attorneys by combining generative AI with specialized legal training data.

Casetext got there first, launching in 2013 — that's 9 years of extra runway. Harvey AI didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Harvey AI has about 200 employees; Casetext has about 120. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Harvey AI and Casetext compete in AI Legal, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.