Legora 评测

Legora is an agentic AI platform built exclusively for legal professionals. It covers the four core job types that consume most of a lawyer's time: document review (tabular, at scale), drafting (via a Word add-in that applies firm precedents), legal research (connected to jurisdiction-specific databases), and workflow automation (multi-step agentic pipelines without coding). The platform serves 800 customers across 50+ markets including Cleary Gottlieb, Bird & Bird, White & Case, Linklaters, and Deloitte. In March 2026, the company raised a $550 million Series D at a $5.55 billion valuation.

Legora's Tabular Review is its most differentiated feature: it ingests large volumes of contracts or case files, places each document in a row, and lets you create AI-generated columns to extract specific clauses, flag inconsistencies, or compare terms at scale. For drafting, the Word add-in reads firm precedents and playbooks, applies them in context, and keeps lawyers in control of what gets accepted. The Legora Assistant travels with the user across all modules, maintaining context throughout a working session. Workflows chains these capabilities into multi-step automated processes specified in plain language.

Legora is enterprise-only with no public pricing. The approximate list price is $3,000 per user per year with a minimum of 10 seats, placing the floor at $30,000 annually. All purchases go through a sales and demo process. There is no free trial listed publicly. For organizations at this price point, Legora competes with Harvey AI and Clio Duo in the legal AI space.

Legora is the right choice for law firms and in-house legal departments that have significant contract review volume, want Microsoft Word integration that respects existing workflows, and need enterprise-grade security certifications. If your firm runs primarily on Google Workspace, relies on NetDocuments as your DMS, or has fewer than 10 legal staff, Legora is not the right fit. Smaller teams or those needing a trial before committing should look at tools with self-serve entry points.