Law as Data

Michael A. Livermore & Daniel N. Rockmore, Law as Data: Computation, Text, and the Future of Legal Analysis (Santa Fe Institute Press, 2019). 

In recent years, the digitization of legal texts, combined with developments in the fields of statistics, computer science, and data analytics, have opened entirely new approaches to the study of law. This volume explores the new field of computational legal analysis, an approach marked by its use of legal texts as data. The emphasis herein is work that pushes methodological boundaries, either by using new tools to study longstanding questions within legal studies or by identifying new questions in response to developments in data availability and analysis. 

-Publisher’s Description

An Introduction to Empirical Research

Lee Epstein (Washington University) & Andrew D. Martin (University of Michigan). An Introduction to Empirical Research (Oxford University Press, 2014).

"As the role of empirical methods in traditional legal scholarship and practice grows, new forms of education are needed for today's lawyers. All lawyers asked to present or assess empirical arguments need to understand the fundamental principles of social science methodology that underpin sound empirical research. An Introduction to Empirical Research presents that methodology in a legal context, explaining how empirical analysis can inform legal arguments; how lawyers can set about framing empirical questions, conducting empirical research, analyzing data, and presenting or evaluating the results. The fundamentals of understanding data, statistical models, and the structure of empirical arguments are explained in a way accessible to lawyers with or without formal training in statistics."
—From book jacket