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Harvey vs Definely

HarveyDefinely

Bottom line: Harvey for large and elite law firms; Definely for transactional lawyers.

	Harvey Harvey is an AI platform built specifically for legal professionals and law firms, offering tools for document analysis, legal research, contract intelligence, and end-to-end workflow automation Visit	Definely AI legal drafting and review tools built into Microsoft Word Visit
Votes	0	0
Pricing	Paid	Contact
Category	Legal	Legal
Tags	do-researchanalyze-datawrite-content	legal-aicontract-draftingmicrosoft-wordproofreadinglegal-tech
Best for	Large and elite law firms In-house legal and corporate counsel teams Transactional and M&A due diligence teams	Transactional lawyers In-house legal teams Law firms
Pros	Purpose-built for legal work rather than a repurposed general chatbot, with models and workflows tuned to drafting, research, and document-heavy legal tasks, Broad, connected product suite — Assistant, Vault, Knowledge, Agents, and Contract Intelligence — that covers a full legal workflow instead of a single point tool Agentic capabilities that execute multi-step legal work end-to-end, which meaningfully reduces manual effort on due diligence and contract review Strong emphasis on security, confidentiality, and grounding answers in trusted sources, which matters for privileged and regulated legal data Proven traction among large and elite law firms and in-house teams across many countries, signaling maturity and enterprise readiness Ecosystem and integrations designed to meet lawyers inside the tools they already use, plus mobile access for work on the move	Works natively inside Microsoft Word Reduces manual defined-term checking Multiple tools across drafting and review Low workflow disruption and learning curve Suitable for firms of any size
Cons	Pricing is opaque and enterprise-only, with per-seat costs reported to run well over a thousand dollars per month — placing it far above generic AI tools and most smaller-firm budgets The custom-contract sales motion with seat minimums makes it impractical for solo practitioners and small teams to adopt casually As with any legal AI, output still requires attorney review and verification, so it augments rather than replaces professional judgment Deep adoption implies a degree of platform commitment and change management that lean teams may find heavy relative to lighter-weight alternatives	Pricing is not public No standalone mobile app Not a full contract lifecycle management system Limited to the Word/Office environment Feature tiers can be unclear without a demo

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