Using Text Analytics to Predict Litigation Outcomes

Alexander, Charlotte; Al Jadda, Khalifeh; Feizollahi, Mohammed Javad; Tucker, Anne M.

Using Text Analytics to Predict Litigation Outcomes

Law as Data: Computation, Text, and the Future of Legal Analysis (under contract, Santa Fe Institute Press, Michael Livermore & Daniel Rockmore, eds., 2018, Forthcoming).

Georgia State University College of Law, Legal Studies Research Paper No. 2018-13

36 Pages Posted: 5 Sep 2018 Last revised: 15 Jan 2019

See all articles by Charlotte Alexander

Charlotte Alexander

Georgia Institute of Technology - Scheller College of Business

Mohammed Javad Feizollahi

Georgia State University - J. Mack Robinson College of Business

Anne M. Tucker

Georgia State University College of Law

Date Written: 2018

Abstract

This chapter describes the goals, methodologies, and preliminary results of an ongoing litigation outcomes prediction project conducted by the Legal Analytics Lab (the Lab) at Georgia State University. Drawing on the Lab's experience with the project as a case study, the chapter offers guidance for researchers engaged in or contemplating research in a similar vein: predicting trial court outcomes in a particular doctrinal area.

Keywords: employment law, empirical legal studies, legal analytics, computational law

JEL Classification: K31, K00, K19, K41, K49

Suggested Citation: Suggested Citation

Alexander, Charlotte and Al Jadda, Khalifeh and Feizollahi, Mohammed Javad and Tucker, Anne M., Using Text Analytics to Predict Litigation Outcomes (2018). Law as Data: Computation, Text, and the Future of Legal Analysis (under contract, Santa Fe Institute Press, Michael Livermore & Daniel Rockmore, eds., 2018, Forthcoming)., Georgia State University College of Law, Legal Studies Research Paper No. 2018-13, Available at SSRN: https://ssrn.com/abstract=3230224