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.
This practical guide helps professionals maximize AI benefits while staying safe in personal and professional contexts. Written by an AI and tech lawyer, it explains AI basics, future developments, and how to avoid pitfalls while using AI tools effectively. Features real-world use cases across industries, making it essential for students, creatives, executives, and marketers navigating the early AI era responsibly.
This second edition provides broad perspectives on AI's legal implications across global jurisdictions. Contributors identify potential threats AI poses to rights protection and human wellbeing, anticipating future developments. The handbook examines how AI disrupts traditional legal frameworks and explores emerging regulatory responses. A comprehensive resource for understanding AI's transformative impact on legal systems worldwide.
This comprehensive 1,096-page handbook examines how artificial intelligence interacts with and influences governance systems across 49 chapters. Leading experts explore theoretical foundations, regulatory frameworks, economic analyses, and concrete lessons about AI governance domestically and internationally. Essential for understanding the complex intersection of AI technology and public policy in our rapidly evolving digital landscape.
This timely handbook explores the relationship between public policy and AI technologies across geographical, technical, political, and policy contexts. Contributing to critical AI studies, it focuses on norms, discourses, policies, practices, and regulation shaping AI in the public sector. With open access chapters, this 466-page volume provides essential insights for policymakers grappling with AI governance challenges.
This comprehensive 27-chapter volume provides in-depth coverage of AI law from multidisciplinary perspectives. Contributors examine regulation across public law (constitutional, criminal, tax) and private law (liability, competition, consumer) domains, from deepfakes to killer robots. Designed for non-technical audiences, it's essential for lawyers, judges, policymakers, and academics confronting AI's legal challenges.
This groundbreaking handbook examines how AI disrupts private law doctrines and threatens fundamental rights protection. It brings together global experts to address whether existing private law can tackle AI challenges and how it should evolve. The first dedicated treatment reveals AI's transformation of contract, tort, property, and commercial law, making it essential for navigating the legal disruption ahead.