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.
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.