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Huski.ai is a company that leverages AI to assist IP lawyers and brand professionals with trademark clearance, watching, and enforcement. It aims to streamline brand protection and growth using cutting-edge AI technology.
PatSnap, a company specializing in innovation intelligence and patent analytics. PatSnap, founded in 2007 and headquartered in Beijing, offers an AI-powered platform that assists various industries in the ideation to commercialization process. The platform analyzes patents, R&D insights, and competitive landscapes. PatSnap's technology helps innovation professionals uncover emerging trends, identify risks, and find opportunities.
IPRally is a company specializing in AI-driven patent search and analysis tools. It offers a web application that uses knowledge graphs and supervised deep learning AI to provide semantic and technical understanding of patent literature. The company aims to increase the productivity of inventors and patent professionals by offering a search tool that functions like a patent expert.
EvenUp is a venture-backed generative AI startup that focuses on ensuring injury victims receive the full value of their claims. It achieves this by using AI to analyze medical documents and case files, turning them into comprehensive demand packages for injury lawyers. EvenUp aims to provide equal access to justice in personal injury cases, regardless of a person's background, income, or access to quality representation.
Harvey is a suite of AI tools designed for legal professionals, offering solutions for drafting, research, and document analysis. Developed by experts in artificial intelligence, Harvey utilizes advanced natural language processing to assist legal experts in their work.
Canarie is developing a compliance platform that uses AI and ML to automate the creation, review, and revision of disclosures and policies for financial institutions.
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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