Computational models of legal argument and the issue of meaning

Siliquini-Cinelli, Luca 2027. Computational models of legal argument and the issue of meaning. Wagner, Anne, ed. Research Handbook on Legal Codes and Artificial Intelligence, 1 edition. Edward Elgar Publishing,

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Abstract

Pursuant to the aims and scope of this Research Handbook, this chapter provides a critical overview of computational models of legal argument (CMLAs). CMLAs are a specific type of artificial intelligence (AI) software that is increasingly being used by legal education and service providers. What makes CMLAs particularly relevant for the future of legal education and practice is that they are more sophisticated than the information-producing, information-retrieving, and outcome-predicting AI software already in use. More specifically, recent research has suggested that CMLAs might be capable of legal reasoning and argumentation, i.e. of validly and convincingly putting together a legal argument. Merging philosophical reflection with insights from cognitive and computer science, this chapter critically assesses CMLAs’ lawyering capabilities. It argues that whilst CMLAs can extract, represent, and process the syntactic elements of the information contained in a legal argument, they are unable to operate semantically and thus, reason and argue legally.

Item Type:	Book Section
Status:	In Press
Schools:	Schools > Cardiff Law & Politics
Subjects:	K Law > K Law (General)
Publisher:	Edward Elgar Publishing
Last Modified:	02 Oct 2026 09:07
URI:	https://orca.cardiff.ac.uk/id/eprint/189854

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