Litera
The unified legal document lifecycle and transaction management ecosystem for the modern law firm.
The professional-grade AI legal assistant for high-stakes litigation and practice management.
CoCounsel, developed by Casetext and now a flagship offering within the Thomson Reuters ecosystem, represents the apex of legal-specific generative AI as of 2026. Built on a proprietary architecture that integrates fine-tuned Large Language Models with the massive primary law databases of Westlaw and Practical Law, CoCounsel is designed to perform complex legal tasks with a zero-retention data policy. Unlike general-purpose LLMs, CoCounsel employs a 'search-then-generate' RAG (Retrieval-Augmented Generation) pipeline specifically optimized for the Bluebook citation standard and jurisdictional nuances. Its 2026 market position is defined by its transition from a simple chatbot to a comprehensive workflow orchestrator, capable of managing multi-stage litigation tasks such as deposition preparation and comprehensive document review at scale. The platform's technical core is engineered to eliminate hallucinations by grounding every response in verified legal authorities, providing practitioners with a hyper-reliable digital associate that handles the heavy lifting of discovery, research, and drafting while maintaining the highest tiers of SOC2 and GDPR compliance.
Analyzes all discovery documents to generate a comprehensive list of potential questions, identifying inconsistencies in witness testimony.
The unified legal document lifecycle and transaction management ecosystem for the modern law firm.
The AI-powered litigation lifecycle platform for smarter case strategy and automated chronologies.
The infinite workspace for deep document analysis and multi-source synthesis.
Enterprise-grade eDiscovery and AI-driven document intelligence for boutique and mid-market law firms.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Enables semantic search across the firm's private document repository without data leaking into public training sets.
Uses zero-shot and few-shot learning to identify privileged or relevant documents based on attorney-defined criteria.
Synthesizes research results into a structured legal memorandum with Bluebook-formatted citations.
Parses unstructured data from emails and filings to create a timestamped timeline of events.
Compares new contracts against a firm’s 'gold standard' or 'market' terms to flag deviations.
Infrastructure ensures that no user-uploaded data is used to train future iterations of the LLM.
Manually reviewing 500+ leases for change-of-control clauses takes weeks.
Registry Updated:2/7/2026
Finding the 'smoking gun' email in a 10,000-document production.
Gathering persuasive authority for a specific jurisdictional standard.