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Computational Methods in Legal Analysis

Computational Methods in Legal Analysis <jats:p> 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. </jats:p> http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Law and Social Science CrossRef

Computational Methods in Legal Analysis

Annual Review of Law and Social Science , Volume 16 (1): 39-57 – Oct 13, 2020

Computational Methods in Legal Analysis


Abstract

<jats:p> 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. </jats:p>

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Publisher
CrossRef
ISSN
1550-3585
DOI
10.1146/annurev-lawsocsci-052720-121843
Publisher site
See Article on Publisher Site

Abstract

<jats:p> 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. </jats:p>

Journal

Annual Review of Law and Social ScienceCrossRef

Published: Oct 13, 2020

There are no references for this article.