AI is reshaping the legal industry, transforming practices, and influencing behaviors of legal tech buyers and vendors alike. AI adoption also introduces complex risks that require careful consideration. The Risks of Artificial Intelligence in Law is devoted exclusively to the risks and challenges that AI presents to the legal profession. Drawing upon the candid insights of 34 legal professionals and technologists across 17 jurisdictions and six continents - including users and solutions providers throughout the legal ecosystem - the authors provide balanced, practitioner-grounded perspectives across the spectrum of risk. Bearing in mind the rapid pace of AI development, this book goes beyond the technological risks often discussed in general responsible AI debates (such as privacy, intellectual property, and reliability risks), to also analyze the operational and cultural risks faced by legal professionals. Privacy risks include breaches of confidentiality when lawyers use public AI tools, exposing sensitive client information to unintended parties. Intellectual property risks arise when external vendors gain access to proprietary legal team data, raising questions about ownership and misuse. Reliability risks are equally pressing inaccurate AI outputs can lead to flawed advice, while the black box nature of some systems complicates accountability and adds verification costs. Operational risks cut both ways lawyers who lag behind in adoption may lose opportunities and market position, while AI's efficiencies simultaneously erode the billable hour and reshape the economic foundations of legal services. Cultural risks have the potential for profound long-term impact generational divides in adoption, complacency among experienced practitioners, and diminished opportunities for junior lawyers to learn through traditional methods. Each chapter concludes by briefly outlining the strategic solutions legal teams can adopt to mitigate the risks discussed. For readers grappling with stalled pilots, disillusionment, or uncertainty, this book offers practical guidance to build literacy, manage risk, and make informed decisions in an evolving landscape.

AI is reshaping the legal industry, transforming practices, and influencing behaviors of legal tech buyers and vendors alike. AI adoption also introduces complex risks that require careful consideration. The Risks of Artificial Intelligence in Law is devoted exclusively to the risks and challenges that AI presents to the legal profession. Drawing upon the candid insights of 34 legal professionals and technologists across 17 jurisdictions and six continents - including users and solutions providers throughout the legal ecosystem - the authors provide balanced, practitioner-grounded perspectives across the spectrum of risk. Bearing in mind the rapid pace of AI development, this book goes beyond the technological risks often discussed in general responsible AI debates (such as privacy, intellectual property, and reliability risks), to also analyze the operational and cultural risks faced by legal professionals. Privacy risks include breaches of confidentiality when lawyers use public AI tools, exposing sensitive client information to unintended parties. Intellectual property risks arise when external vendors gain access to proprietary legal team data, raising questions about ownership and misuse. Reliability risks are equally pressing inaccurate AI outputs can lead to flawed advice, while the black box nature of some systems complicates accountability and adds verification costs. Operational risks cut both ways lawyers who lag behind in adoption may lose opportunities and market position, while AI's efficiencies simultaneously erode the billable hour and reshape the economic foundations of legal services. Cultural risks have the potential for profound long-term impact generational divides in adoption, complacency among experienced practitioners, and diminished opportunities for junior lawyers to learn through traditional methods. Each chapter concludes by briefly outlining the strategic solutions legal teams can adopt to mitigate the risks discussed. For readers grappling with stalled pilots, disillusionment, or uncertainty, this book offers practical guidance to build literacy, manage risk, and make informed decisions in an evolving landscape.

AI is reshaping the legal industry, transforming practices, and influencing behaviors of legal tech buyers and vendors alike. AI adoption also introduces complex risks that require careful consideration. The Risks of Artificial Intelligence in Law is devoted exclusively to the risks and challenges that AI presents to the legal profession. Drawing upon the candid insights of 34 legal professionals and technologists across 17 jurisdictions and six continents - including users and solutions providers throughout the legal ecosystem - the authors provide balanced, practitioner-grounded perspectives across the spectrum of risk. Bearing in mind the rapid pace of AI development, this book goes beyond the technological risks often discussed in general responsible AI debates (such as privacy, intellectual property, and reliability risks), to also analyze the operational and cultural risks faced by legal professionals. Privacy risks include breaches of confidentiality when lawyers use public AI tools, exposing sensitive client information to unintended parties. Intellectual property risks arise when external vendors gain access to proprietary legal team data, raising questions about ownership and misuse. Reliability risks are equally pressing inaccurate AI outputs can lead to flawed advice, while the black box nature of some systems complicates accountability and adds verification costs. Operational risks cut both ways lawyers who lag behind in adoption may lose opportunities and market position, while AI's efficiencies simultaneously erode the billable hour and reshape the economic foundations of legal services. Cultural risks have the potential for profound long-term impact generational divides in adoption, complacency among experienced practitioners, and diminished opportunities for junior lawyers to learn through traditional methods. Each chapter concludes by briefly outlining the strategic solutions legal teams can adopt to mitigate the risks discussed. For readers grappling with stalled pilots, disillusionment, or uncertainty, this book offers practical guidance to build literacy, manage risk, and make informed decisions in an evolving landscape.