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Edge is a company based in San Francisco that specializes in AI-driven patent writing tools. Edge aims to streamline the patent drafting process, helping inventors and legal professionals create high-quality patents more efficiently. The company's software assists in drafting claims, descriptions, and backgrounds for patents, potentially reducing errors and improving the overall quality of patent applications.
Garden Intelligence is an AI-powered platform designed to streamline and enhance the patent process for various stakeholders, including R&D organizations, inventors, patent prosecutors, and litigators. It combines AI reasoning models, a patent search index, and web scraping to provide tools for tasks such as invalidity searches, claim chart generation, and infringement analysis.
DeepIP, an AI-powered personal assistant designed to streamline the patent drafting process and manage responses to office actions. It aims to free intellectual property (IP) practitioners from tedious tasks, allowing them to focus on delivering greater value to their clients. DeepIP can summarize lengthy documents quickly, providing essential insights at a glance.
Patlytics a company specializing in AI-powered patent intelligence solutions. Patlytics offers a platform that assists with various aspects of the patent lifecycle, including patent drafting, prosecution, litigation, and portfolio management. The platform leverages AI and large language models (LLMs) to streamline patent-related processes and enhance efficiency for IP professionals.
Patented AI provides an essential tool to help individuals and companies protect against inadvertently sharing personal identifying information, trade secrets, and all other sensitive data with virtually all LLMs, enabling individuals across all industries to get on-device sensitive data checks and protection.
IP Copilot is an AI-powered platform designed to revolutionize intellectual property (IP) management, helping organizations discover, capture, curate, and protect their IP more efficiently. It uses AI to streamline the invention disclosure process, perform real-time prior art searches, and facilitate quick filing decisions.
AI Law Articles, Reports & Other Publications
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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
White & Case examines how artificial intelligence intersects with antitrust law, spotlighting the risks of AI-enabled collusion, algorithmic bias, and pricing coordination. As regulators grapple with these complex developments, businesses must stay alert to shifting compliance standards. Click to delve into the complexities of AI's impact on market competition and legal considerations.
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