Legal research and brief building

CoCounsel is Thomson Reuters' professional-grade legal AI assistant (built on Casetext), covering legal research, document review, drafting, and deposition preparation, grounded in Westlaw content. Sold to firms and legal departments; pricing is quote-based and enterprise, typically bundled with Westlaw. Retrieval-grounded, though outputs still require attorney verification.

vLex (now part of Clio) is an AI legal research platform whose Vincent assistant works across a database of 1B+ legal documents from 100+ countries, aimed at firms from AmLaw 100 to boutiques. Retrieval-grounded. Book a demo or start a free trial; pricing is quote-based.

Paxton is a research-first legal AI assistant that also drafts documents, analyzes files, and builds medical chronologies and billing summaries, backed by a knowledge base of US federal regulations, state law, and case law across all 50 states. It is one of the few legal AI tools with public pricing: $499 per user/month or $2,999 per user/year, plus custom enterprise volume pricing. SOC 2, ISO 27001, and HIPAA certified. Retrieval-grounded with source citations.

Vaquill AI is legal data infrastructure: an open-source US primary-law API (REST and MCP) covering 3.5M+ sections of statutes, regulations, constitutions, and executive orders across 52 US jurisdictions, each returned with a citation and a link to the official source. Aimed at developers and legal-tech builders, with a free API key plus paid and enterprise tiers. Retrieval-grounded by design.

Legora (formerly Leya) is collaborative legal AI built around an agentic operating system for research, drafting, and document review, used by law firms and in-house teams. Quote-based, sales-led. Note: leya.law now redirects to legora.com following the 2026 rebrand.

Harvey is enterprise legal AI for large law firms and professional-services teams, with purpose-built agents, a secure document vault, cross-domain legal research (Knowledge), and contract intelligence. Aimed at AmLaw firms and in-house teams rather than solo or PI practices. Enterprise, quote-based.