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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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Generative AI creates more than content—it creates questions. Who owns AI-generated work? Can training data spark lawsuits? These are no longer theoretical debates. This article breaks down real-world legal conflicts and what they mean for creators and companies alike. Click to understand how the legal system is responding to this wave of innovation.
The European Union introduces the AI Act, the world's first comprehensive legal framework for artificial intelligence. This legislation aims to ensure trustworthy AI by categorizing systems based on risk levels and imposing corresponding regulations. Click to explore how the EU plans to balance innovation with safety and fundamental rights.
AI is transforming how legal professionals think about everything from liability to licensing. This in-depth guide from the ABA is packed with real cases, practical tips, and strategic insights. It’s a must-read for anyone navigating the intersection of law and emerging tech. Click to read how attorneys are adapting and leading in the AI age.
As machines begin to invent and create, IP law faces a defining moment. Who gets credit when AI paints a picture or designs a product? This report tackles the legal ambiguity around AI authorship and ownership. The answers could reshape entire industries. Click to find out how policymakers and experts are tackling these emerging dilemmas.
Open data powers AI breakthroughs—but it’s not without risks. How can developers balance innovation with intellectual property protection? What are the rules around using publicly available data to train models? This article explores Europe’s strategic response. Click to see how legal frameworks are shaping the future of ethical AI use.
AI’s impact on civil rights is more than a debate—it's a growing reality. Algorithms used in policing, hiring, and credit can discriminate without intention. The DOJ outlines how it’s confronting bias and holding institutions accountable. Fairness isn’t optional in automation. Click to dive how civil rights laws are evolving alongside AI.
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