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.
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.