Natural Language Processing in Legal Tech

Legal Tech and the Future of Civil Justice (David Engstrom ed.) Forthcoming

28 Pages Posted: 9 Feb 2022

See all articles by Jens Frankenreiter

Jens Frankenreiter

Washington University in St. Louis - School of Law

Julian Nyarko

Stanford Law School

Date Written: February 4, 2022

Abstract

Natural language processing techniques promise to automate an activity that lies at the core of many tasks performed by lawyers, namely the extraction and processing of information from unstructured text. The relevant methods are a key ingredient for both current and future legal tech applications, and their potential and limitations will be crucial in determining the extent to which legal tech will succeed in its quest to revolutionize the market for legal services. This chapter provides a non-technical introduction to a selection of natural language processing techniques that are expected to play a major role in legal tech. In addition, it critically discusses the promises and pitfalls of natural language processing tools in this context, using technology-assisted review in discovery and case outcome predictions as examples.

Keywords: legal tech, nlp, natural language processing

JEL Classification: K00,K10,K19,K40,K49

Suggested Citation

Frankenreiter, Jens and Nyarko, Julian, Natural Language Processing in Legal Tech (February 4, 2022). Legal Tech and the Future of Civil Justice (David Engstrom ed.) Forthcoming, Available at SSRN: https://ssrn.com/abstract=4027030 or http://dx.doi.org/10.2139/ssrn.4027030

Jens Frankenreiter

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

Campus Box 1120
St. Louis, MO 63130
United States

Julian Nyarko (Contact Author)

Stanford Law School ( email )

559 Nathan Abbott Way
Stanford, CA 94305
United States

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