Harvey AI vs Everlaw

By valuation, Harvey AI is the larger company at $8B versus $2B — a 4x difference. Size can also be measured by team: Harvey AI employs 200 people while Everlaw has 525 employees.

Harvey AI has raised more in total funding at $806M, compared to Everlaw's $517M — a gap of $289M. Combined, the two companies have completed 6 known funding rounds.

Harvey AI leads with an Awaira Score of 78/100, while Everlaw sits at 71/100. That 7-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. Everlaw was founded by AJ Shankar in 2010. 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. 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.

Everlaw got there first, launching in 2010 — that's 12 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; Everlaw has about 525. 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 Everlaw compete in AI Legal, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.