Sense and Similarity: Automating Legal Text Comparison

16 Pages Posted: 12 Mar 2019

See all articles by Wolfgang Alschner

Wolfgang Alschner

University of Ottawa - Common Law Section

Date Written: February 20, 2019

Abstract

Lawyers routinely compare legal texts. Advances in technology now help automate such comparison by treating legal texts as data and quantifying their similarity. This renders legal text comparisons scalable and enables lawyers to investigate similarity patterns in large legal text corpora. In this paper, I outline the technological underpinnings of automated legal text comparison and discuss the practical limitations, implications and applications arising from its increasing use. Automated text comparisons, amongst others, improve legal search and recommender systems, allow to better track legal processes and can reveal patterns in legal corpora impossible to detect through traditional means. Automated text comparison, however, also suffers from limitations. It focuses on similarity of text and not similarity of meaning and cannot (yet) differentiate between legally significant and legally insignificant text differences. Therefore, automated text comparison is best seen as a complement to, rather than a substitute for, a manual or concept-based comparison of legal texts.

Keywords: automated text comparisons, law, computational legal studies, text-as-data

Suggested Citation

Alschner, Wolfgang, Sense and Similarity: Automating Legal Text Comparison (February 20, 2019). Available at SSRN: https://ssrn.com/abstract=3338718 or http://dx.doi.org/10.2139/ssrn.3338718

Wolfgang Alschner (Contact Author)

University of Ottawa - Common Law Section ( email )

57 Louis Pasteur Street
Ottawa, K1N 6N5
Canada

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