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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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Plaintiffs Dow Jones & Company, Inc., NYP Holdings, Inc., and corporate parent News Corporation have renewed their intellectual property (IP) complaint against artificial intelligence (AI)-powered “answer engine” Perplexity AI in the District Court for the Southern District of New York.
The court in Thomson Reuters v. Ross Intelligence granted Ross’s request for interlocutory appeal on whether Westlaw’s headnotes are original and if Ross’s limited use (0.076%) qualifies as fair use. The court acknowledged differing legal opinions on these core issues, which could reshape the trial and have major implications for AI and copyright law.
In its most recent effort to keep pace with advancing technology, the US Food and Drug Administration (FDA) recently issued two draft guidances on the use of artificial intelligence (AI) in the context of drugs, biologics, and medical devices.
As artificial intelligence (AI) continues to develop at a rapid pace, even the most sophisticated general counsel (GC) and in-house legal teams will be hard pressed to keep up with the evolving legal landscape.
In the last year, state activism in healthcare consumer protection has surged, with new laws that heighten oversight of for-profit investors’ engagement with healthcare marketplaces and scrutinize pharmaceutical pricing practices. As part of this activism, several state legislatures have enacted laws regulating use of artificial intelligence (AI) in healthcare delivery.
The CNIL issued draft guidelines to align AI training datasets with GDPR. Key principles include purpose limitation (clear, specific goals), data minimization, storage limits, and the need for a legal basis (e.g. consent or legitimate interest). Vague goals like “AI development” aren’t valid. The CNIL recommends ethics committees and traceable governance. Reuse of data requires compatibility with original purpose. This aims to balance innovation with data protection.
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