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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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This practical field guide offers attorneys and business professionals essential navigation tools for AI legal compliance across multiple jurisdictions. It provides concise guidance on privacy, intellectual property, liability, and regulatory requirements for AI development and deployment, making complex legal concepts accessible to non-specialists.
This comprehensive 544-page textbook provides essential foundation for understanding ethical challenges in AI development and deployment. Written by a leading expert in AI ethics who has held positions at Oxford, Bristol, and Cardiff Universities, it offers practical frameworks for addressing algorithmic bias, transparency, and accountability in AI systems.
This pioneering book brings together forty international authors to examine AI's emerging legal framework across multiple jurisdictions including Canada, France, Belgium, the US, Brazil, Mexico, and Senegal. It addresses sectoral rules, risk-based norms, data governance, IP law, and liability systems while analyzing cultural differences in AI regulation approaches.
This book presents readers with a comprehensive understanding of AI ethics, examining ethical questions across different AI applications through case studies and theoretical frameworks from multiple academic disciplines including legal policy, environmental sciences, and philosophy of technology.
This open access book examines how generative AI will transform society when 90% of digital content becomes AI-generated, making reality indistinguishable from synthetic content. It analyzes humanoid robots, deepfakes, augmented reality, and virtual reality, exploring their unprecedented impact on democracy, judicial systems, press freedom, and personal relationships.
This comprehensive international guide helps legal professionals understand and resolve emerging AI legal issues across multiple jurisdictions. It provides practical frameworks for addressing complex AI challenges in contract law, liability, privacy, and regulatory compliance across different legal systems.
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