Computational Methods in Legal Analysis

41 Pages Posted: 19 May 2020 Last revised: 4 Apr 2022

See all articles by Jens Frankenreiter

Jens Frankenreiter

Washington University in St. Louis - School of Law

Michael A. Livermore

University of Virginia School of Law

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Date Written: November 15, 2019


The digitization of legal texts and advances in artificial intelligence, natural language processing, text mining, network analysis, and machine learning have led to new forms of legal analysis by lawyers and law scholars. This article provides an overview of how computational methods are affecting research across the varied landscape of legal scholarship, from the interpretation of legal texts to the quantitative estimation of causal factors that shape the law. As computational tools continue to penetrate legal scholarship, they allow scholars to gain traction on traditional research questions and may engender entirely new research programs. Already, computational methods have facilitated important contributions in a diverse array of law-related research areas. As these tools continue to advance, and law scholars become more familiar with their potential applications, the impact of computational methods is likely to continue to grow.

Keywords: computational law, machine learning, empirical legal studies, legal history, digital humanities, big data

Suggested Citation

Frankenreiter, Jens and Livermore, Michael A., Computational Methods in Legal Analysis (November 15, 2019). Forthcoming, 16 Annual Review of Law and Social Science (2020), Virginia Public Law and Legal Theory Research Paper No. 2020-44, Virginia Law and Economics Research Paper No. 2020-09, Available at SSRN:

Jens Frankenreiter

Washington University in St. Louis - School of Law ( email )

Campus Box 1120
St. Louis, MO 63130
United States

Michael A. Livermore (Contact Author)

University of Virginia School of Law ( email )

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