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Robin AI is a leader in legal AI. Our Legal AI Assistant is used by hundreds of businesses globally to harness the power of generative AI for legal. We empower legal teams and lawyers to make contract processes effortless.
Pincites makes contract negotiations faster and more consistent for legal teams. Using advanced language models, Pincites allows legal teams to build robust contract playbooks that any internal team can apply consistently within Microsoft Word.
ThoughtRiver was founded in 2016 to transform third-party contract review. Over the past nine years, we’ve become a leader in the Legal Tech space, working with some of the world’s top legal teams and organizations. Our success is built on integrating human-led, legally trained data into our own LLM, ensuring accuracy and relevance in contract analysis.
Our AI-powered litigation tools open up a dialogue with your data, so your legal team can focus on what they do best: thinking.
Beagle is transforming how law firms, corporate legal teams, and eDiscovery service providers handle document review and eDiscovery. Our AI-powered platform delivers faster, more accurate results, streamlining processes and reducing costs to help you uncover key data quickly and efficiently.
Casetext is a legal research platform that uses artificial intelligence to help lawyers and legal professionals find relevant case law, statutes, and other legal materials efficiently. It was particularly known for its AI-powered tool, CARA (Case Analysis Research Assistant), which allowed users to upload legal documents and receive highly relevant case law recommendations.
AI Law Articles, Reports & Other Publications
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Plaintiffs Dow Jones & Company, Inc., NYP Holdings, Inc., and corporate parent News Corporation have renewed their intellectual property (IP) complaint against artificial intelligence (AI)-powered “answer engine” Perplexity AI in the District Court for the Southern District of New York.
The court in Thomson Reuters v. Ross Intelligence granted Ross’s request for interlocutory appeal on whether Westlaw’s headnotes are original and if Ross’s limited use (0.076%) qualifies as fair use. The court acknowledged differing legal opinions on these core issues, which could reshape the trial and have major implications for AI and copyright law.
In its most recent effort to keep pace with advancing technology, the US Food and Drug Administration (FDA) recently issued two draft guidances on the use of artificial intelligence (AI) in the context of drugs, biologics, and medical devices.
As artificial intelligence (AI) continues to develop at a rapid pace, even the most sophisticated general counsel (GC) and in-house legal teams will be hard pressed to keep up with the evolving legal landscape.
In the last year, state activism in healthcare consumer protection has surged, with new laws that heighten oversight of for-profit investors’ engagement with healthcare marketplaces and scrutinize pharmaceutical pricing practices. As part of this activism, several state legislatures have enacted laws regulating use of artificial intelligence (AI) in healthcare delivery.
The CNIL issued draft guidelines to align AI training datasets with GDPR. Key principles include purpose limitation (clear, specific goals), data minimization, storage limits, and the need for a legal basis (e.g. consent or legitimate interest). Vague goals like “AI development” aren’t valid. The CNIL recommends ethics committees and traceable governance. Reuse of data requires compatibility with original purpose. This aims to balance innovation with data protection.
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