AI Agent Index

CoCounsel vs Harvey AI (2026)

Side-by-side comparison of CoCounsel vs Harvey AI: pricing, capabilities, integrations, deployment complexity, and ratings. Built from The AI Agent Index's verified listing data. CoCounsel last verified July 6, 2026. Harvey AI last verified September 10, 2026.

Data sourced from The AI Agent Index

CoCounsel logo

CoCounsel

by Thomson Reuters

Thomson Reuters legal AI combining agentic Deep Research with Westlaw-grounded content. G2 4.8/5 (78 reviews). 1M+ users including majority of Am Law 100. SOC 2 Type II.

subscriptionENTERPRISE
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Harvey AI logo

Harvey AI

by Harvey

Enterprise legal AI platform whose Harvey Agents run legal work end to end. Raised $550M at a $15.5B valuation in September 2026. 200K+ professionals. SOC 2 Type II + ISO 27001.

customENTERPRISE
Visit Harvey AI →
CoCounsel
Harvey AI
Pricing model
subscription
custom
Starting price
$428/mo
Contact sales
Pricing transparency
partial
quote only
Contract type
both
annual only
Customer segment
ENTERPRISE
ENTERPRISE
Deployment
web
web, api
Setup difficulty
moderate
complex
Avg setup time
1-2 weeks self-serve; longer for enterprise rollout
Not published. Harvey states no setup or implementation timeline, and deployment is sales-led with no self-serve trial.
Editorial rating
4.5 / 5
4.4 / 5
G2 rating
4.8/5 (78 reviews)
4.3/5 (28 reviews)
MCP
Server
Server + client
GitHub stars
N/A
N/A
Data training
no
no
Human in loop
optional
optional
Security certs
SOC 2 Type II, ISO 27001, ISO 42001
SOC 2 Type II, ISO 27001, ISO 42001, GDPR, CCPA

Capabilities

CoCounsel

deep-researchcitationscontent-creationdata-analysisautonomous

Harvey AI

deep-researchdata-analysiscitationsautonomous

Pros & Limitations

Editorial assessment

CoCounsel

Pros

  • ✓Grounded in Westlaw proprietary content: research outputs cite authoritative primary sources with editorial enhancements rather than open-web content, providing the citation reliability that legal work demands and that no competitor without proprietary legal databases can match.
  • ✓Deep Research agentic capability creates research plans, executes queries iteratively across Westlaw, and delivers comprehensive reports with transparent reasoning chains, handling multi-step legal research workflows that previously required hours of attorney time.
  • ✓Institutional adoption at a scale no legal AI competitor approaches: majority of Am Law 100, 100% of Fortune 100, 97% of Fortune 1000, all US federal courts, and 1M+ total users across legal, tax, audit, and accounting professions.

Limitations

  • ⚠Westlaw bundling means some buyers pay for legal research infrastructure they may not need: firms already committed to Lexis+ or vLex face switching costs, and the subscription commitment with Westlaw Precision represents significant annual spend for smaller practices.
  • ⚠Pricing requires sales engagement: the $428/month MSBA reference is one data point, but actual rates vary by jurisdiction, headcount, modules, and contract length, making cost comparison against alternatives difficult without a Thomson Reuters conversation.
  • ⚠Pre-built workflow library is the primary capability: custom workflows are rolling out incrementally, meaning firms with highly specialized or non-standard legal processes may find the current workflow options do not cover their specific needs.

Harvey AI

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 2,400 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 ($428/mo) 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 despite more than 200,000 professionals using the platform, so procurement teams relying on review sites will find thin public evidence.

Frequently asked questions

How does pricing compare between CoCounsel vs Harvey AI?

CoCounsel uses a subscription model, starting at $428 per month. Harvey AI uses a custom model with pricing on request.

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