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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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This comprehensive handbook explores the intricate relationship between AI and consumer protection law, analyzing both benefits and challenges of AI systems' expanding influence on consumers. It examines tort law applications to AI-caused harm, consumer use of digital delegates as agents, and innovative ways AI can protect consumer rights.
This treatise examines current AI court cases, relevant terminology, and precedent while charting the path forward for AI litigation. Written by the first appellate attorney to focus on AI litigation, it provides essential guidance for practitioners handling groundbreaking AI legal disputes in federal courts.
This third edition provides essential guidance for legal practitioners confronting AI challenges, featuring entirely new coverage of generative AI and the EU AI Act. Written by a leading AI lawyer, it offers practical insights into causation, IP ownership, data protection, and discrimination issues arising from AI deployment.
This handbook examines how AI technologies are reshaping international relations, diplomacy, and global governance structures. It addresses critical questions about AI's geopolitical impact, security implications, and the need for international cooperation in AI governance frameworks.
This comprehensive book critically examines how AI systems impact Belgian law, containing contributions on consumer protection, contract law, liability, data protection, procedural law, insurance, health, intellectual property, arbitration, lethal autonomous weapons, tax law, employment law and ethics. While focused on Belgian private and public law, it provides valuable insights for understanding AI's legal implications across European jurisdictions.
This comprehensive book examines how AI systems impact Belgian law while providing a general overview of EU regulatory and ethical AI developments. It covers consumer protection, contract law, liability, data protection, procedural law, insurance, health, intellectual property, employment law, and ethics. Essential reading for legal scholars, practitioners, and government officials interested in understanding AI's legal implications across private and public law domains.
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