Legal AI in Switzerland

Switzerland-based legal AI research platform founded by former Google researchers. Indexes internal firm knowledge with 90%+ adoption rate among leading international law firms.

Legartis is an award-winning Legal AI Suite for AI-assisted contract reviews and analyses. The pre-trained AI delivers analysis quality over 92% from day 1.

vLex delivers comprehensive legal intelligence solutions that transform how legal professionals research. Vincent AI, built on vLex's global legal database with over one billion do...

Westlaw Edge by Thomson Reuters is the premier legal research platform introduced in 2018. It uses advanced AI with machine learning and natural language processing, KeyCite for in...

Relativity builds AI solutions that turn legal data into intelligence. Trusted by 198 of the Am Law 200, RelativityOne offers a flexible legal solution for collaboration across inv...

NetDocuments is the #1 trusted intelligent platform where legal professionals do their best work. With over 7,000 clients globally and over 25 years of experience, it offers cloud-...

CaseFleet is AI-powered case management software that helps build stronger cases with intelligent document analysis, automated fact extraction, and AI-assisted legal research. It o...

Filevine is an AI-powered legal practice management platform serving over 3,000 customers. It provides a centralized workspace with a personal AI assistant for conversational acces...

Harvey is a professional-class AI platform designed for the legal industry. Used by hundreds of leading organizations and a significant portion of AmLaw100 firms, it provides custo...

Spellbook is an AI assistant for lawyers specialized in contract review and drafting. It integrates directly into Microsoft Word, enabling transactional lawyers to draft, review, a...

LexisNexis is a leading legal research platform providing access to a vast database of case law, legislation, and legal doctrine.

LawGeex uses artificial intelligence to automate contract review, significantly reducing processing time.