If you’re considering moving off Casetext (now Thomson Reuters CoCounsel), the trigger is usually one of two things: your firm’s AI usage has expanded beyond research and brief-drafting into broader legal workflow, or you’re a Lexis shop where the Westlaw integration that anchors Casetext doesn’t fit. Casetext remains the strongest research-anchored legal AI in 2026 — but it’s not the right fit for every motion.
Harvey
The broader legal AI suite that covers contract drafting, regulatory analysis, and matter-level orchestration alongside research. For firms whose AI usage has spread across practice areas, Harvey’s breadth justifies the price premium that Casetext’s research-focused positioning doesn’t.
Migrate from Casetext to Harvey when: your AI usage has expanded into transactional and regulatory work, you have multi-practice AI needs across the firm, and the integration with the Lexis or Westlaw research stack matters less to you than workflow breadth.
Don’t migrate when: your firm is litigation-heavy and Westlaw is the foundational research tool. Casetext’s Westlaw depth is the value, and Harvey’s research is broader but shallower on that integration.
LexisNexis Protégé
The Lexis-anchored alternative for firms whose research foundation is Lexis rather than Westlaw. Protégé’s integration with Lexis databases (the citator, regulatory libraries, news) is the differentiator. Feature scope is similar to Casetext but on the Lexis side of the divide.
Migrate from Casetext to Protégé when: you’re a Lexis shop and the Casetext-Westlaw integration doesn’t match your research workflow. The migration is mostly about getting the right database integration.
Don’t migrate when: you’re a Westlaw shop. Protégé won’t help.
Stay on Casetext when
You’re a Westlaw shop and the integration with Westlaw is doing real work in your research motion
Your firm’s AI usage is research-anchored (litigation, regulatory, appellate)
The brief-drafting and motion-drafting workflows are wired into your matter motion
The cost is justified by the research-focused use cases without needing broader AI suite features
For these firms, Casetext is the right tool and the cost-per-feature math is good.
Verdict
Harvey is the right migration for ~30% — firms whose AI usage has spread beyond research
Protégé is right for ~15% — Lexis-anchored firms where the integration matters
Staying on Casetext is the right answer for ~55% — Westlaw-anchored, research-heavy firms
The single mistake to avoid: chasing the broader-suite legal AI because of feature lust. Most firms get more value from going deeper on research-focused AI than from spreading thin across drafting and review.
If you’re considering moving off Casetext (now Thomson Reuters CoCounsel), the trigger is usually one of two things: your firm’s AI usage has expanded beyond research and brief-drafting into broader legal workflow, or you’re a Lexis shop where the Westlaw integration that anchors Casetext doesn’t fit. Casetext remains the strongest research-anchored legal AI in 2026 — but it’s not the right fit for every motion.
Harvey
The broader legal AI suite that covers contract drafting, regulatory analysis, and matter-level orchestration alongside research. For firms whose AI usage has spread across practice areas, Harvey’s breadth justifies the price premium that Casetext’s research-focused positioning doesn’t.
Migrate from Casetext to Harvey when: your AI usage has expanded into transactional and regulatory work, you have multi-practice AI needs across the firm, and the integration with the Lexis or Westlaw research stack matters less to you than workflow breadth.
Don’t migrate when: your firm is litigation-heavy and Westlaw is the foundational research tool. Casetext’s Westlaw depth is the value, and Harvey’s research is broader but shallower on that integration.
LexisNexis Protégé
The Lexis-anchored alternative for firms whose research foundation is Lexis rather than Westlaw. Protégé’s integration with Lexis databases (the citator, regulatory libraries, news) is the differentiator. Feature scope is similar to Casetext but on the Lexis side of the divide.
Migrate from Casetext to Protégé when: you’re a Lexis shop and the Casetext-Westlaw integration doesn’t match your research workflow. The migration is mostly about getting the right database integration.
Don’t migrate when: you’re a Westlaw shop. Protégé won’t help.
Stay on Casetext when
For these firms, Casetext is the right tool and the cost-per-feature math is good.
Verdict
The single mistake to avoid: chasing the broader-suite legal AI because of feature lust. Most firms get more value from going deeper on research-focused AI than from spreading thin across drafting and review.