Harvey vs Legora: AI Contract Tools Compared (2026)

Quick answer Harvey and Legora are both broad legal AI platforms used by large law firms and legal departments, and they overlap heavily. Harvey is a San Francisco company with very large funding and wide adoption across the biggest United States firms, positioned as an enterprise platform across many kinds of legal work. Legora, formerly Leya, is a fast growing Stockholm company built around collaboration, where teams work together on a matter, with strong multi language support and rapid adoption across many markets. Both are serious tools; the better fit depends on your firm's size, geography and how much you value collaboration versus breadth. ## What Harvey is Harvey builds generative AI tools for lawyers that cover research, drafting, analysis and more, not only contracts. It raised a 300 million dollar round at a 3 billion dollar valuation in early 2025 and a further large round at a much higher valuation later that year, and reports adoption across a large share of the biggest United States law firms and many corporate legal teams. Harvey is positioned as an enterprise grade platform with the scale, security posture and support that large organisations expect. Harvey is strongest for large firms and departments that want one broad platform across many legal tasks and are comfortable with a premium, enterprise commitment. ## What Legora is Legora, previously Leya, is a collaborative AI platform for lawyers that handles research, review and drafting, built so several people can work on the same matter together. It raised an 80 million dollar Series B in May 2025 at a 675 million dollar valuation and a further round later in the year, and reports serving more than 250 firms and legal teams across many markets, with customers including Cleary Gottlieb, Goodwin and Bird & Bird. Legora is known for collaboration and strong multi language support. Legora is strongest for firms that want a shared, collaborative workspace and work across several languages and markets. ## Head to head Scope. Both are broad. Harvey leans toward wide enterprise coverage across legal work. Legora emphasises collaboration on matters, with research, review and drafting. Collaboration. Legora is built around teams working together on the same matter, which is a core part of its identity. Harvey covers collaboration within a larger enterprise platform. Languages and markets. Legora highlights multi language support and presence across many markets. Harvey is strong across major markets with heavy United States firm adoption. Scale and funding. Harvey is larger and more heavily funded, which can matter for enterprise buyers weighing vendor stability. Legora is growing very fast with strong backing. Who adopts them. Both have marquee law firm customers. Harvey skews toward the largest United States firms; Legora has broad international adoption. ## Which to choose If you are a large firm or department wanting one enterprise platform across many kinds of legal work, Harvey is a natural fit. If collaboration on matters and multi language work matter most, Legora is compelling. Many firms trial both. Whichever you pick, test it on your real matters and contracts and measure time saved on the work you repeat, not on demo samples. This page is general information, not legal advice. Vendor facts and pricing change, so confirm current details on each company's own site. ## One workspace, tuned to your company Harvey and Legora are broad platforms, but contract work in particular benefits when drafting, risk review, clause editing, version history and renewal tracking share one place and one company context, rather than being spread across general tools. The idea worth testing is a single workspace tuned to how your company contracts, so the AI already knows your preferred terms, house style and risk posture. Adira is built around that single workspace idea, with the deepest support today for Indian corporate law and other jurisdictions on its roadmap. Whatever you choose, judge it on your real contracts and on how much context the tool carries from one task to the next.