This chapter serves as an introduction to this collection by exploring the transformative intersection of Generative AIGenerative AI (GenAI), contracts, law, and design. It highlights how advanced machineMachine learning models are reshaping legal practice, contracts, and contracting. GenAI—a subset of artificial intelligenceIntelligence—uses large datasets to create original content and provide new opportunities for automating legal tasks, enhancing contract accessibility, and promoting proactive legal strategies. The chapter delves into the technological underpinnings of GenAI, including examples such as OpenAI's ChatGPTChatGPT and DALL·E, Anthropic’s ClaudeClaude, GitHub Copilot, Google’s Bard and Gemini, and DeepSeek. It also examines the ethical and regulatory implications of AI adoption, focusing on the principles of “Responsible AI,” and discusses the importance of human-centric designHuman-centric design in preparing legal tools and solutions intended to drive policy and strategic objectives. Additionally, it provides a brief overview of the book’s content, outlining key topics such as proactive lawProactive Law, contract designContract design, intellectual property, privacyPrivacy communicationPrivacy communication, and health dataHealth data governanceGovernance. By providing case studies and practical insights, the chapter offers a comprehensive overview of GenAI’s impact on contracting and the legal domain and sets the stage for further discussions on its applications, challenges, and future directions.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Generative AI and the Future of Contracts, Law and Design

  • Marcelo Corrales Compagnucci,
  • Helena Haapio,
  • Mark Fenwick

摘要

This chapter serves as an introduction to this collection by exploring the transformative intersection of Generative AIGenerative AI (GenAI), contracts, law, and design. It highlights how advanced machineMachine learning models are reshaping legal practice, contracts, and contracting. GenAI—a subset of artificial intelligenceIntelligence—uses large datasets to create original content and provide new opportunities for automating legal tasks, enhancing contract accessibility, and promoting proactive legal strategies. The chapter delves into the technological underpinnings of GenAI, including examples such as OpenAI's ChatGPTChatGPT and DALL·E, Anthropic’s ClaudeClaude, GitHub Copilot, Google’s Bard and Gemini, and DeepSeek. It also examines the ethical and regulatory implications of AI adoption, focusing on the principles of “Responsible AI,” and discusses the importance of human-centric designHuman-centric design in preparing legal tools and solutions intended to drive policy and strategic objectives. Additionally, it provides a brief overview of the book’s content, outlining key topics such as proactive lawProactive Law, contract designContract design, intellectual property, privacyPrivacy communicationPrivacy communication, and health dataHealth data governanceGovernance. By providing case studies and practical insights, the chapter offers a comprehensive overview of GenAI’s impact on contracting and the legal domain and sets the stage for further discussions on its applications, challenges, and future directions.