Mapping the Geometry of Law using Document Embeddings

Ash, Elliott and Chen, Daniel L. (2018) Mapping the Geometry of Law using Document Embeddings. TSE Working Paper, n. 18-935, Toulouse

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Official URL: http://tse-fr.eu/pub/32764

Abstract

Recent work in natural language processing represents language objects (words and documents) as dense vectors that encode the relations between those objects. This paper explores the application of these methods to legal language, with the goal of understanding judicial reasoning and the relations between judges. In an application to federal appellate courts, we show that these vectors encode information that distinguishes courts, time, and legal topics. The vectors do not reveal spatial distinctions in terms of political party or law school attended, but they do highlight generational differences across judges. We conclude the paper by outlining a range of promising future applications of these methods.

Item Type: Monograph (Working Paper)
Language: English
Date: July 2018
Place of Publication: Toulouse
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 10 Jul 2018 14:58
Last Modified: 10 Jul 2018 14:58
OAI ID: oai:tse-fr.eu:32764
URI: http://publications.ut-capitole.fr/id/eprint/26115

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