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Edge is a company based in San Francisco that specializes in AI-driven patent writing tools. Edge aims to streamline the patent drafting process, helping inventors and legal professionals create high-quality patents more efficiently. The company's software assists in drafting claims, descriptions, and backgrounds for patents, potentially reducing errors and improving the overall quality of patent applications.
Garden Intelligence is an AI-powered platform designed to streamline and enhance the patent process for various stakeholders, including R&D organizations, inventors, patent prosecutors, and litigators. It combines AI reasoning models, a patent search index, and web scraping to provide tools for tasks such as invalidity searches, claim chart generation, and infringement analysis.
DeepIP, an AI-powered personal assistant designed to streamline the patent drafting process and manage responses to office actions. It aims to free intellectual property (IP) practitioners from tedious tasks, allowing them to focus on delivering greater value to their clients. DeepIP can summarize lengthy documents quickly, providing essential insights at a glance.
Patlytics a company specializing in AI-powered patent intelligence solutions. Patlytics offers a platform that assists with various aspects of the patent lifecycle, including patent drafting, prosecution, litigation, and portfolio management. The platform leverages AI and large language models (LLMs) to streamline patent-related processes and enhance efficiency for IP professionals.
Patented AI provides an essential tool to help individuals and companies protect against inadvertently sharing personal identifying information, trade secrets, and all other sensitive data with virtually all LLMs, enabling individuals across all industries to get on-device sensitive data checks and protection.
IP Copilot is an AI-powered platform designed to revolutionize intellectual property (IP) management, helping organizations discover, capture, curate, and protect their IP more efficiently. It uses AI to streamline the invention disclosure process, perform real-time prior art searches, and facilitate quick filing decisions.
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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