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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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The entertainment sector is experiencing a transformation with the advent of deepfakes—AI-driven synthetic media that can superimpose human features onto others or manipulate audio to create realistic human experiences. This article examines how deepfakes are disrupting media and entertainment, discussing their applications, potential benefits, and the legal implications surrounding their use. Discover how AI is reshaping the industry.
WIPO’s thought leadership piece explores how the rise of AI challenges long-held views on intellectual property. As machines contribute to inventions and artistic works, the definition of authorship and ownership is evolving. Click to explore WIPO's insights on adapting IP policies to the era of frontier technologies.
Deepfakes—AI-generated media that convincingly alter appearances or voices—pose significant challenges in Europe, affecting politics, security, and individual rights. This study delves into the technical, societal, and regulatory aspects of deepfakes, offering insights into their rapid development and the evolving media landscape. It evaluates associated risks and proposes policy measures to mitigate their impact. Click to explore the comprehensive analysis.
Clifford Chance provides a forward-looking perspective on how to embed inclusivity and fairness into AI systems through legal design. It addresses algorithmic discrimination, ethical AI development, and the legal obligations companies face in diverse societies. Click to gain a legal perspective on fostering inclusivity within the AI landscape.
Clifford Chance unpacks the impact of the EU AI Act specifically on workplace technologies. From hiring algorithms to employee monitoring, employers using AI face strict new compliance and transparency rules under the Act. Click to learn how the EU AI Act could reshape the use of AI in employment contexts.
Norton Rose Fulbright offers a deep dive into global AI regulatory trends, focusing on the EU’s groundbreaking AI Act. The piece outlines how developers, deployers, and distributors must adapt to strict risk-based classification and transparency rules. Click to understand the implications of this landmark legislation on the global AI landscape
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