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NLPatent is an industry leading AI-based patent search and analytics platform trusted by Fortune 500 companies, Am Law 100 firms, and research universities around the world. The platform takes an AI-first approach to patent search; it's built from a proprietary Large Language Model trained on patent data to truly understand the language of patents and innovation.
PQAI stands for Patent Quality Artificial Intelligence. It is a free, open-source, natural language-based patent search platform developed by AT&T and the Georgia Intellectual Property Alliance. PQAI is designed as a collaborative initiative to build a shared AI-based tool for prior art searching.
Solve Intelligence is an AI-powered platform designed for intellectual property legal professionals, specializing in streamlining the patenting process. Founded in 2023 and based in San Francisco, the company develops AI tools specifically for patent attorneys, focusing on user-centric design and practical application.
Amplified AI is an intellectual property (IP) technology company offering AI-powered search and collaboration tools. It helps researchers and innovators research, document, and share technical intelligence within their teams by organizing and curating global patent and scientific information.
Ambercite AI is a patent search tool that utilizes artificial intelligence (AI) and network analytics to identify patents similar to a given set of starting patents. It differs from traditional patent searching methods that rely on keywords and patent class codes by using citation patterns, patent text, and metadata to find relevant patents and reduce false positives.
PatentPal is an AI-powered platform designed to streamline the patent drafting process for legal professionals. It utilizes generative AI to automate the creation of patent applications, including generating descriptions, figures, and supporting documents from a set of claims. PatentPal aims to save time for patent attorneys and agents, allowing them to focus on higher-value aspects of their work. It can export drafts into formats like Word, Visio, or PowerPoint.
AI Law Articles, Reports & Other Publications
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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 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 comprehensive report analyzes AI development and rule of law challenges worldwide, examining how different legal systems are adapting to artificial intelligence technologies. It provides crucial insights for policymakers navigating the complex intersection of AI innovation and legal governance across diverse jurisdictions.
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 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 international guide helps legal professionals understand and resolve emerging AI legal issues across multiple jurisdictions. It provides practical frameworks for addressing complex AI challenges in contract law, liability, privacy, and regulatory compliance across different legal systems.
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