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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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This practical field guide offers attorneys and business professionals essential navigation tools for AI legal compliance across multiple jurisdictions. It provides concise guidance on privacy, intellectual property, liability, and regulatory requirements for AI development and deployment, making complex legal concepts accessible to non-specialists.
This comprehensive 544-page textbook provides essential foundation for understanding ethical challenges in AI development and deployment. Written by a leading expert in AI ethics who has held positions at Oxford, Bristol, and Cardiff Universities, it offers practical frameworks for addressing algorithmic bias, transparency, and accountability in AI systems.
This pioneering book brings together forty international authors to examine AI's emerging legal framework across multiple jurisdictions including Canada, France, Belgium, the US, Brazil, Mexico, and Senegal. It addresses sectoral rules, risk-based norms, data governance, IP law, and liability systems while analyzing cultural differences in AI regulation approaches.
This book presents readers with a comprehensive understanding of AI ethics, examining ethical questions across different AI applications through case studies and theoretical frameworks from multiple academic disciplines including legal policy, environmental sciences, and philosophy of technology.
This open access book examines how generative AI will transform society when 90% of digital content becomes AI-generated, making reality indistinguishable from synthetic content. It analyzes humanoid robots, deepfakes, augmented reality, and virtual reality, exploring their unprecedented impact on democracy, judicial systems, press freedom, and personal relationships.
This comprehensive international guide helps legal professionals understand and resolve emerging AI legal issues across multiple jurisdictions. It provides practical frameworks for addressing complex AI challenges in contract law, liability, privacy, and regulatory compliance across different legal systems.
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