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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.
AI Law Articles, Reports & Other Publications
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BakerHostetler's case tracker monitors key U.S. litigation involving copyright issues related to generative AI. It provides overviews, key filings, and summaries of cases that significantly impact the AI value chain, from content creators to downstream users. Click to stay informed about the evolving legal landscape surrounding AI and copyright.
From contract enforcement to liability for autonomous systems, AI is stirring legal waters. This report outlines the top concerns companies must address to avoid costly missteps. How are lawyers adapting to this fast-moving landscape? New rules are emerging—and the risks are real. Click to find out how organizations are staying legally prepared.
Exploring the intersection of generative AI and copyright law, this report addresses the copyrightability of AI-generated works. It discusses the necessity of human authorship for copyright protection and analyzes how AI-assisted creations fit within existing legal frameworks. Click to learn about the evolving standards for creative ownership in the age of AI.
The report by the U.S. Copyright Office delves into the legal and policy challenges posed by digital replicas—AI-generated imitations of individuals' voices or appearances. It examines current legal gaps and recommends federal legislation to protect individuals from unauthorized digital likenesses. Click to discover the proposed measures and their implications.
Discover how AI is transforming the world of intellectual property (IP), accelerating creation and demanding a revolution in licensing and management. This article explores the strategic disadvantages of outdated IP processes and the competitive edge gained through automated, scalable licensing systems. With the digital economy moving at breakneck speed, businesses must adapt to monetize and protect IP in real-time or risk being left behind. Click to dive into this game-changing shift!
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