CoCounsel (by Casetext) vs Adept
Detailed side-by-side comparison to help you choose the right tool
CoCounsel (by Casetext)
🟢No CodeBusiness AI Solutions
Thomson Reuters' AI legal assistant that performs document review, contract analysis, deposition preparation, and legal research for attorneys — built on Westlaw's authoritative legal databases.
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🔴DeveloperBusiness AI Solutions
Adept AI licenses its ACT-1 Action Transformer technology to enterprise partners, enabling them to build AI agents that visually control any computer software using natural language commands. Through its partnership model, Adept provides screen-reading AI models, proprietary training datasets, and technical consultation for building custom agentic automation solutions—offering an alternative to traditional RPA platforms for organizations with complex, multi-application workflows.
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CoCounsel (by Casetext) - Pros & Cons
Pros
- ✓Citations are grounded in Westlaw's authoritative case law, statutes, and secondary sources, reducing the hallucination risk that plagues general-purpose LLMs in legal work
- ✓Purpose-built skills (document review, deposition prep, contract analysis, legal research memos) follow structured workflows attorneys actually run, rather than forcing prompt engineering
- ✓Handles very large document sets — hundreds of thousands of pages — with consistent question application across the entire corpus
- ✓Deep integration with the Thomson Reuters stack (Westlaw, Practical Law, Document Intelligence, HighQ) and Microsoft 365 (Word, Outlook) puts AI inside existing attorney workflows
- ✓Enterprise-grade security posture: SOC 2 Type II, no model training on customer data, role-based access, matter-level segregation, and audit trails suited for regulated practice
- ✓Backed by Thomson Reuters' legal content licensing and editorial infrastructure, giving customers a single accountable vendor rather than stitched-together point tools
Cons
- ✗Pricing is quote-only and positioned at firm/department scale — not accessible or transparent for solos and small firms evaluating cost
- ✗Maximum value is realized only by existing Westlaw subscribers; standalone use loses much of the grounded-citation advantage
- ✗Outputs still require attorney review and verification — the tool does not eliminate the professional responsibility to check every cite and conclusion
- ✗Skill-based workflow can feel rigid compared to open-ended assistants when a task does not map cleanly to a predefined skill
- ✗Coverage is strongest for U.S. federal and state law; non-U.S. jurisdictions and highly specialized practice areas may be thinner
Adept - Pros & Cons
Pros
- ✓Works with any desktop or web application without requiring API integrations - ideal for legacy systems and custom enterprise software
- ✓Natural language interface makes automation accessible to non-technical business users without requiring Python, JavaScript, or RPA scripting knowledge
- ✓Advanced reinforcement learning adaptation handles interface changes and unexpected scenarios, reducing the 30-40% maintenance overhead typical of traditional RPA deployments
- ✓Backed by $415M in funding with founding team including Ashish Vaswani (transformer architecture co-inventor) and former Google/OpenAI research leads
- ✓ACT-1 model can execute multi-step workflows spanning 10+ applications in a single natural language command, eliminating manual context switching
- ✓Enterprise-grade partnership model provides deep customization and dedicated technical consultation unavailable from off-the-shelf RPA vendors
Cons
- ✗Partnership-only access model with no self-service signup or public availability—requires direct enterprise sales engagement and significant upfront investment
- ✗No transparent pricing published; licensing fees, professional services, and ongoing consultation costs are negotiated per partnership
- ✗Requires extensive screen access permissions that may conflict with zero-trust security policies and SOC 2/HIPAA compliance frameworks
- ✗Following 2024 strategic shift, key talent moved to Amazon—raising questions about long-term product roadmap continuity for partners
- ✗Visual-only automation cannot handle command-line interfaces, headless servers, or API-only backend systems common in modern DevOps workflows
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