CDGenie by CaseDocker vs Harvey AI (2026)

CDGenie by CaseDocker

by CaseDocker

Harvey AI

by Harvey

Pros

• ✓Harvey Agents execute complex legal work end to end: from contract analysis and due diligence through drafting and research, agents plan the work, split large tasks across parallel agents, and return cited, review-ready output without step-by-step attorney direction. Scheduled Agents can also run recurring work in the background.
• ✓Deep enterprise adoption and backing: Harvey states that more than 200,000 professionals at over 3,500 law firms and in-house legal teams use it, named clients include Dentons, KKR, Bridgewater, PwC, Deutsche Telekom, and Procter and Gamble, and it raised $550M at a $15.5B valuation in September 2026.
• ✓Works where legal teams already work: iManage, NetDocuments, SharePoint, Google Drive and Box connections, Word and Outlook add-ins, LexisNexis research content, and MCP in both directions, with a first-party MCP server for outside assistants and MCP connectors that pull in PitchBook, Datasite and SS&C Intralinks data.

Limitations

• –Enterprise-only pricing with no public price list and no self-serve plan, so every deployment starts with a sales conversation and buyers cannot compare cost before a demo. Spellbook and CoCounsel ($360/mo billed annually) are the closest alternatives for teams that want to compare.
• –Harvey publishes no setup or implementation timeline and offers no self-serve trial, so firms cannot switch it on and evaluate it on their own before engaging Harvey sales. Its MCP connectors to outside tools launched in early access, and Harvey describes MCP governance as a shared responsibility with the firm admins who choose which tool actions are permitted.
• –Independent review volume is small relative to adoption: the G2 and Gartner Peer Insights corpora each hold well under fifty reviews, against more than 200,000 professionals using the platform.