XLSCOUT is an SOC2 Type II compliant integrated innovation & patent monetization platform at the forefront of the global innovation and IP industry, harnessing the potential of advanced Al technologies like Large Language Models (LLMs) and Generative Al for idea validation, optimizing ideation, creating high-value patents, and monetizing innovation.
MarqVision is an AI-powered platform that helps brands protect themselves from online counterfeits, unauthorized sales, and other forms of brand infringement across various online platforms.
ScaleIP, formerly known as LicenseLead, is a company that uses AI and IP transaction data to help businesses identify and connect with potential partners for licensing, selling, or collaborating on patents. It aims to streamline the process of finding suitable businesses and individuals for IP-related deals. ScaleIP helps IP teams save time, generate revenue, and make informed patent decisions by identifying and engaging with the most likely IP partners.
Black Hills AI provides automated Intellectual Property legal support services from its offices in the US. Its legal support services include intellectual property docketing, paralegal, proofreading, analytics and annuity management services.
Questel, a company specializing in intellectual property (IP) management and innovation. Questel provides software and services to help businesses manage their IP assets, including patents, trademarks, designs, and copyrights.
Tradespace works with leading innovators to generate, manage, and commercialize their IP portfolios. We are the only platform supporting organizations across the entire innovation cycle, including disclosure collection & evaluation, IP management, analytics and scouting, and commercialization.
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 authoritative work brings together experts on law, regulation, and human rights to provide the first comprehensive analysis of Europe's pioneering approach to AI regulation. Distinguished contributors examine the AI Act, regulatory design requirements, ethical issues, and compliance challenges across key sectors. An indispensable resource for legal professionals, researchers, and technology executives navigating the complexities of European AI regulation.
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 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 educational textbook offers attorneys and legal professionals essential insights into AI's transformative impact on law across multiple domains. From ethics and human rights to autonomous vehicles and criminal justice, it addresses AI's legal and ethical concerns. Designed for classroom use, this comprehensive guide helps students, practitioners, and policymakers navigate AI's rapidly expanding influence on legal systems worldwide.
This comprehensive handbook provides essential insights into AI's legal, ethical, and policy implications across society. Drawing from experts across disciplines, it examines how AI systems operate today and explores European regulatory frameworks like the AI Act. With AI's expanding societal impact, this interdisciplinary resource is crucial for understanding governance challenges and opportunities in our algorithmic future.