ALT LAW AS DATA provides a comprehensive overview of what natural language processing can bring to law. Through wide-ranging chapters, it demonstrates that predictive inferences drawn from large stocks of data can transform legal practice in areas as diverse as word-choice and intonation, selection of litigation strategy, legislative drafting, and judging. Several chapters, when read together, supply the reader with a good understanding of the technical differences between predictive and causal inference and what those differences mean for policymaking. Specialists will undoubtedly consult individual chapters, but LAW AS DATA can be profitably read as a whole. What emerge from its entirety are the potential outcomes of a slow, but persistent, evolution of legal research and practice. To lawyers and judges, the possibilities will be both novel and familiar."