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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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Using AI tools like Midjourney or DALL·E to create business content doesn’t guarantee ownership. IP laws hinge on tool terms, not just creation. Risks include licensing disputes, takedowns, and infringement claims. Companies must check terms of service, avoid style mimicry, and prove rights to use content. Using AI prompts for legal review is helpful, but always confirm with counsel. Treat AI content as real IP to safeguard your brand as it scales.
AI agents that mimic real people—digital replicas—raise major legal issues, including rights of publicity, copyright, and consent. U.S. laws vary by state, and consent alone isn’t enough to avoid risk. EU and global regulations are emerging, adding complexity. Brands must secure clear licenses, define usage, manage outputs, and ensure transparency. Legal strategy isn’t optional—it's essential to protect trust, reputation, and avoid costly liabilities in this fast-evolving space.
AI is transforming how businesses use data, raising new legal and licensing challenges. Traditional licenses often lack clarity on machine use, exposing risks. Companies must assess their data flows, clarify rights for machine learning, and implement use-based frameworks addressing AI training, output rights, ethics, and traceability. Updating data licenses is essential for responsible, scalable innovation in the AI era.
Explore how AI is reshaping innovation incentives and challenging traditional IP frameworks. WIPO's Economic Research Working Paper No. 77 offers an economic perspective on AI's impact on intellectual property. Essential reading for AI entrepreneurs and IP professionals.
Examines the increasing concern over deepfakes and the legislative efforts at both federal and state levels to address the challenges they pose. It discusses various proposed and enacted regulations aimed at mitigating the risks associated with deepfake technology which of course includes AI.
Offers an in-depth examination of how artificial intelligence is evolving and its implications for the legal profession. It addresses questions about legal accountability when machines make autonomous decisions with financial consequences and explores how laws are adapting to these new realities. This guide is essential for understanding the intersection of AI and law.
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