CoCounsel (by Casetext / Thomson Reuters) vs Adept
Detailed side-by-side comparison to help you choose the right tool
CoCounsel (by Casetext / Thomson Reuters)
🟢No CodeBusiness AI Solutions
Thomson Reuters' agentic legal AI grounded in Westlaw and Practical Law — handles legal research, document review, contract analysis, drafting in Word, and depositions prep with verified citations.
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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 / Thomson Reuters) - Pros & Cons
Pros
- ✓Westlaw and Practical Law grounding with citation verification is genuinely defensible against hallucination risk
- ✓Native inside Microsoft Word — drafting and review live where lawyers already work
- ✓Quantified customer ROI (5x ROI, hour-long reviews to minutes) backs the enterprise pitch
Cons
- ✗Enterprise-only pricing locks out solo and small-firm practitioners who can fit Harvey or Paxton instead
- ✗Long Thomson Reuters procurement cycles make 'try it on one matter' difficult
- ✗Closed ecosystem — no MCP support, workflows are bound to the TR stack
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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