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.
This practical guide helps professionals maximize AI benefits while staying safe in personal and professional contexts. Written by an AI and tech lawyer, it explains AI basics, future developments, and how to avoid pitfalls while using AI tools effectively. Features real-world use cases across industries, making it essential for students, creatives, executives, and marketers navigating the early AI era responsibly.
This second edition provides broad perspectives on AI's legal implications across global jurisdictions. Contributors identify potential threats AI poses to rights protection and human wellbeing, anticipating future developments. The handbook examines how AI disrupts traditional legal frameworks and explores emerging regulatory responses. A comprehensive resource for understanding AI's transformative impact on legal systems worldwide.
This comprehensive 1,096-page handbook examines how artificial intelligence interacts with and influences governance systems across 49 chapters. Leading experts explore theoretical foundations, regulatory frameworks, economic analyses, and concrete lessons about AI governance domestically and internationally. Essential for understanding the complex intersection of AI technology and public policy in our rapidly evolving digital landscape.
This timely handbook explores the relationship between public policy and AI technologies across geographical, technical, political, and policy contexts. Contributing to critical AI studies, it focuses on norms, discourses, policies, practices, and regulation shaping AI in the public sector. With open access chapters, this 466-page volume provides essential insights for policymakers grappling with AI governance challenges.
This comprehensive 27-chapter volume provides in-depth coverage of AI law from multidisciplinary perspectives. Contributors examine regulation across public law (constitutional, criminal, tax) and private law (liability, competition, consumer) domains, from deepfakes to killer robots. Designed for non-technical audiences, it's essential for lawyers, judges, policymakers, and academics confronting AI's legal challenges.
This groundbreaking handbook examines how AI disrupts private law doctrines and threatens fundamental rights protection. It brings together global experts to address whether existing private law can tackle AI challenges and how it should evolve. The first dedicated treatment reveals AI's transformation of contract, tort, property, and commercial law, making it essential for navigating the legal disruption ahead.