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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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The EU’s Community of Practice on Public Procurement of AI released updated non-binding Model Contractual Clauses (MCC-AI) on March 5, 2025, aligning with the EU AI Act. Two templates address “high-risk” and non-high-risk AI systems. Though intended for public sector use, some clauses may help private firms. A commentary guides application, and authorities are encouraged to report use via Public Sector Tech Watch.
AI is revolutionizing every phase of IP—from creation to protection. This article explores how it enhances patent and trademark work, with a sharp look at 2025 trends. Click to see how your IP strategy can stay ahead with the help of AI.
Can AI be listed as an author? The Copyright Office says no—this piece breaks down its position and what it means for tech innovators. It also offers smart IP strategies for navigating today’s AI-driven landscape. Click to learn how creators can protect their rights in an automated world.
From faster research to smarter IP handling, AI is transforming how legal professionals operate. This article highlights key innovations and their strategic impact. Click to learn how law firms and clients can benefit from AI-driven legal services.
The USPTO is adapting fast—training examiners, collaborating globally, and rethinking IP laws to meet AI’s rise. This report dives into how they’re tackling ownership disputes and protection issues. Click to discover what this means for your AI-powered ideas.
AI can help invent—but it can’t be the inventor. This article breaks down why patent laws still require meaningful human input, referencing Thaler v. Vidal. Learn how AI fits into the future of invention and what patent offices expect today. Click to explore how the law draws the line between human genius and machine assistance—and what that means for innovators like you.
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