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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.
AI Law Articles, Reports & Other Publications
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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.
This practical field guide offers attorneys and business professionals essential navigation tools for AI legal compliance across multiple jurisdictions. It provides concise guidance on privacy, intellectual property, liability, and regulatory requirements for AI development and deployment, making complex legal concepts accessible to non-specialists.
This comprehensive 544-page textbook provides essential foundation for understanding ethical challenges in AI development and deployment. Written by a leading expert in AI ethics who has held positions at Oxford, Bristol, and Cardiff Universities, it offers practical frameworks for addressing algorithmic bias, transparency, and accountability in AI systems.
This pioneering book brings together forty international authors to examine AI's emerging legal framework across multiple jurisdictions including Canada, France, Belgium, the US, Brazil, Mexico, and Senegal. It addresses sectoral rules, risk-based norms, data governance, IP law, and liability systems while analyzing cultural differences in AI regulation approaches.
This book presents readers with a comprehensive understanding of AI ethics, examining ethical questions across different AI applications through case studies and theoretical frameworks from multiple academic disciplines including legal policy, environmental sciences, and philosophy of technology.
This open access book examines how generative AI will transform society when 90% of digital content becomes AI-generated, making reality indistinguishable from synthetic content. It analyzes humanoid robots, deepfakes, augmented reality, and virtual reality, exploring their unprecedented impact on democracy, judicial systems, press freedom, and personal relationships.
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