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.
This practical guide helps professionals maximize AI benefits while staying safe in personal and professional contexts. Written by an AI and tech lawyer, it explains AI basics, future developments, and how to avoid pitfalls while using AI tools effectively. Features real-world use cases across industries, making it essential for students, creatives, executives, and marketers navigating the early AI era responsibly.
This authoritative work brings together experts on law, regulation, and human rights to provide the first comprehensive analysis of Europe's pioneering approach to AI regulation. Distinguished contributors examine the AI Act, regulatory design requirements, ethical issues, and compliance challenges across key sectors. An indispensable resource for legal professionals, researchers, and technology executives navigating the complexities of European AI regulation.
This comprehensive 1,096-page handbook examines how artificial intelligence interacts with and influences governance systems across 49 chapters. Leading experts explore theoretical foundations, regulatory frameworks, economic analyses, and concrete lessons about AI governance domestically and internationally. Essential for understanding the complex intersection of AI technology and public policy in our rapidly evolving digital landscape.
This comprehensive 27-chapter volume provides in-depth coverage of AI law from multidisciplinary perspectives. Contributors examine regulation across public law (constitutional, criminal, tax) and private law (liability, competition, consumer) domains, from deepfakes to killer robots. Designed for non-technical audiences, it's essential for lawyers, judges, policymakers, and academics confronting AI's legal challenges.
This educational textbook offers attorneys and legal professionals essential insights into AI's transformative impact on law across multiple domains. From ethics and human rights to autonomous vehicles and criminal justice, it addresses AI's legal and ethical concerns. Designed for classroom use, this comprehensive guide helps students, practitioners, and policymakers navigate AI's rapidly expanding influence on legal systems worldwide.
This comprehensive handbook provides essential insights into AI's legal, ethical, and policy implications across society. Drawing from experts across disciplines, it examines how AI systems operate today and explores European regulatory frameworks like the AI Act. With AI's expanding societal impact, this interdisciplinary resource is crucial for understanding governance challenges and opportunities in our algorithmic future.