Everlaw vs Casetext

By valuation, Everlaw is the larger company at $2B versus $650M — a 3.1x difference. Size can also be measured by team: Everlaw employs 525 people while Casetext has 120 employees.

Everlaw has raised more in total funding at $517M, compared to Casetext's $64M — a gap of $453M. Combined, the two companies have completed 6 known funding rounds.

Casetext leads with an Awaira Score of 75/100, while Everlaw sits at 71/100. That 4-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Everlaw was founded by AJ Shankar in 2010. Casetext was founded by Jake Heller in 2013. Visit each company's profile on Awaira for a full founder biography.

Everlaw: Everlaw is an AI-powered legal technology platform founded in 2010 that specializes in e-discovery, document review, and litigation support. The company provides software solutions that use artificial intelligence and machine learning to help legal teams manage large volumes of documents, identify relevant evidence, and streamline the discovery process in litigation and investigations. Everlaw's platform enables lawyers to conduct predictive coding, automated categorization, and advanced search across complex document repositories, reducing time and costs associated with traditional manual review. The company serves law firms, corporate legal departments, and government agencies handling complex litigation matters. Everlaw has achieved a $2.0 billion valuation following $517 million in total funding through Series D stage, positioning it as a significant player in the legal AI sector. The platform competes with established e-discovery providers and emerging legal tech companies offering AI-driven document analysis. Everlaw's growth trajectory reflects increasing demand for AI solutions in legal services, particularly as litigation volumes grow and cost pressures mount on legal departments. The company's focus on accessibility and user experience has contributed to its market traction among both large enterprises and mid-market legal organizations. Its continued funding rounds support product development and market expansion. Everlaw combines enterprise-grade e-discovery capabilities with accessible AI-driven document intelligence for diverse legal market segments. 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.

Everlaw got there first, launching in 2010 — that's 3 years of extra runway. Casetext didn't arrive until 2013. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Everlaw has about 525 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 Everlaw and Casetext compete in AI Legal, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.