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§ Private Profile · San Francisco, CA, USA
Legal research technology provider offering AI-powered tools for legal research, drafting, and discovery for legal professionals.
Based in San Francisco, California, Casetext develops AI-powered legal research and drafting software for law firms and corporate legal departments. Prior to its acquisition, the software company operated with approximately 50 employees and served a subscription user base of over 10,000 paying customers. The platform's client roster included major Am Law 100 firms and Fortune 100 companies, while its early development was supported by the Y Combinator accelerator program. In June 2023, the multinational media conglomerate Thomson Reuters acquired the business for a valuation of $650 million following the successful launch of its CoCounsel AI assistant. Despite adding 1,000 new customers within 45 days of that product launch, the acquiring parent company announced plans to shut down the standalone platform by April 2025. Casetext was originally founded in 2013 by chief executive officer Jake Heller.
Casetext has raised $21.0M across 3 funding rounds.
Key people at Casetext.
Casetext was founded in 2013 by Jake Heller (Founder/CEO).
Casetext has raised $21.0M in total across 3 funding rounds.
Key people at Casetext.
Casetext has raised $21.0M across 3 funding rounds. Most recently, it raised $12.0M Series B in March 2017.
Casetext is a legal technology company founded in 2013 that leverages advanced AI and machine learning to make the world’s laws free, understandable, and accessible. Its flagship product, CoCounsel, is an AI-powered legal assistant that automates labor-intensive tasks such as document review, legal research, memo preparation, and contract analysis, serving over 10,000 law firms and corporate legal departments. Casetext’s mission is to elevate legal practice efficiency and quality, ultimately expanding access to justice by enabling attorneys to serve more clients effectively[1][2][8].
Founded by Stanford Law graduate Jake Heller, Casetext began as a crowdsourced legal research platform combining community annotations and a comprehensive searchable database of case law. Over time, it evolved to embrace generative AI technologies, including early access to OpenAI’s GPT-4, to build automated workflows that transform legal work. The company’s growth trajectory culminated in its acquisition by Thomson Reuters in 2023 for $650 million, reflecting its significant impact on legal tech innovation and the startup ecosystem[1][3][5][6].
Casetext rides the wave of AI-driven transformation in the legal industry, a sector traditionally burdened by slow, manual research and document review processes. The timing is critical as generative AI technologies mature, enabling automation that can reduce costs and increase access to legal services. Casetext’s integration into Thomson Reuters’ ecosystem amplifies its influence, accelerating the adoption of AI solutions across legal and professional services markets. This shift aligns with broader trends toward democratizing legal knowledge and improving justice accessibility through technology[1][2][6][8].
Looking ahead, Casetext is poised to expand its AI capabilities and integration within Thomson Reuters’ suite of legal products, potentially influencing multiple professional fields beyond law. Trends such as generative AI adoption, increased demand for legal tech efficiency, and the push for greater access to justice will shape its trajectory. Casetext’s evolution from a crowdsourced law library to a leading AI legal assistant underscores its potential to redefine legal workflows and empower attorneys worldwide, fulfilling its mission to make law free and understandable at scale[1][2][6].
Casetext was founded in 2013 by Jake Heller (Founder/CEO).
Casetext has raised $21.0M in total across 3 funding rounds.
Casetext's investors include Rebecca Lynn, Conviction Partners, Gradient Ventures, Union Square Ventures, Winklevoss Capital, 8VC, Red Sea Ventures, 305 Ventures, 9Yards Capital, Accel, Aleph VC, Angelic Ventures.
