Considering the emergence of Data Science and Law as a new legal discipline, the editors analyze pressing legal questions accompanying the rise of data-driven technologies. Drawing on comparative perspectives, this revised edition examines the possibilities and limitations of the current legal framework, investigating whether new regulation is needed to respond to problems raised by data science, and detailing the potential ethical issues arising from the use of data. It also evaluates the evolution of the regulation of artificial intelligence, generative AI and large language models, and EU legislation concerning consumer contract law and data protection.

The Research Handbook in Data Science and Lawis an essential resource for students of information and media law, internet and technology law, and research methods in law, as well as legal scholars and practitioners in the field. Data scientists seeking to further understand the law surrounding the field will also find this Research Handbook invaluable.