Casetext focuses on document-anchored case law retrieval for research-heavy workflows; Harvey AI focuses on agentic, multi-step legal tasks across drafting, analysis, and research for large firm environments with enterprise budgets.
Comparison updated: 2026/06/10
Note: Casetext's standalone platform was retired on April 1, 2025, and its technology now lives within Thomson Reuters' CoCounsel (Westlaw ecosystem). This comparison reflects Casetext's capabilities as they exist within CoCounsel today and serves readers evaluating migration paths. Casetext and Harvey AI represent two distinct moments in the evolution of legal AI. Casetext, acquired by Thomson Reuters for $650 million in 2023, built its reputation on CARA AI—a parallel search engine that finds cases by analyzing the substance of a legal document rather than requiring keyword queries. Its CARA technology is now integrated into Thomson Reuters' broader CoCounsel offering. Harvey AI, valued at $11 billion following a $200 million funding round in March 2026, operates at a different scale and scope. With more than 100,000 lawyers across 1,300-plus organizations—including A&O Shearman, Gibson Dunn, and DLA Piper—Harvey is built around frontier large language models combined with agentic workflows designed to handle multi-step legal tasks. The two tools are not direct substitutes: one anchors on database-driven research retrieval, the other on broad AI-assisted legal work across practice areas.
Start with workflow fit, then verify price and evidence before procurement.
Casetext suits litigation-focused firms—solo through mid-market—that need reliable, document-driven case law retrieval without paying for capabilities they will not use. It is a practical fit for practitioners who spend significant time on legal research and want an AI layer that works directly from existing briefs or memos. Firms already in the Thomson Reuters ecosystem may find the CoCounsel integration a natural extension.
Harvey AI is suited to large law firms and sophisticated in-house legal departments with the budget to support an estimated $1,200-per-seat-per-month platform. It makes most sense when the organization needs AI assistance across multiple practice areas—not just research but drafting, due diligence, and workflow automation—and has the IT infrastructure and change management capacity to deploy an enterprise AI platform at scale.
AI legal research pioneer (CARA AI); standalone retired 2025, its technology now powers Thomson Reuters CoCounsel.
Casetext and Harvey AI are aimed at different problems and different buyers. Casetext is a research tool built around a specific innovation—document-context search via CARA—that has proven useful for litigators and researchers who need relevant case law surfaced from their own work product. Harvey AI is a platform play targeting the full spectrum of legal work at large organizations, using frontier models to handle tasks that extend well beyond research retrieval. The decision is less about which tool performs research better and more about organizational scope: firms that need focused, reliable research assistance at a manageable cost point toward Casetext; firms running complex, multi-practice workflows with enterprise budgets should evaluate Harvey AI's broader capability set against its substantial price point. Planning a migration from Casetext? Our Casetext alternatives guide (/compare/casetext-alternative) compares replacement tools side by side.
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Casetext: Contact Thomson Reuters for current Casetext / CoCounsel pricing; historically tiered by firm size with standalone Casetext plans available Harvey AI: Estimated $1,200 per seat per month based on reported enterprise contracts; contact Harvey AI for organizational pricing
Pricing verification is pending. Treat figures as provisional and confirm them with each vendor.
Casetext suits litigation-focused firms—solo through mid-market—that need reliable, document-driven case law retrieval without paying for capabilities they will not use. It is a practical fit for practitioners who spend significant time on legal research and want an AI layer that works directly from existing briefs or memos. Firms already in the Thomson Reuters ecosystem may find the CoCounsel integration a natural extension.
Harvey AI is suited to large law firms and sophisticated in-house legal departments with the budget to support an estimated $1,200-per-seat-per-month platform. It makes most sense when the organization needs AI assistance across multiple practice areas—not just research but drafting, due diligence, and workflow automation—and has the IT infrastructure and change management capacity to deploy an enterprise AI platform at scale.