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Foundations for Territorial Disambiguation in Law: A Preliminary Study Using the Education Act 2005

Safia Kanwal, Livio Robaldo Orcid Logo, Hafsa Dar, Davide Liga, Joseph Anim, kuuku Anim

Frontiers in Artificial Intelligence and Applications, Volume: 416, Pages: 412 - 414

Swansea University Authors: Safia Kanwal, Livio Robaldo Orcid Logo, kuuku Anim

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DOI (Published version): 10.3233/faia251622

Abstract

In the devolved legal system of the United Kingdom (UK), legislative provisions may apply differently across regions such as England, Wales, Scotland, and Northern Ireland. Accurately determining this territorial scope is essential for legal interpretation and AI-assisted legal tools. However, metad...

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Published in: Frontiers in Artificial Intelligence and Applications
ISBN: 9781643686387
ISSN: 0922-6389 1879-8314
Published: Amsterdam IOS Press 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa70879
Abstract: In the devolved legal system of the United Kingdom (UK), legislative provisions may apply differently across regions such as England, Wales, Scotland, and Northern Ireland. Accurately determining this territorial scope is essential for legal interpretation and AI-assisted legal tools. However, metadata capturing jurisdictional applicability is inconsistently format, as only a few Acts include Territorial Application Annexes. This study presents a case study using the Education Act 2005 to evaluate the accuracy of automated methods for identifying territorial scope. We found that only 46.9% of sections matched in jurisdictional coverage. The best-performing approach achieved nearly 80% accuracy, showing that LLMs can effectively support scalable and explainable territorial disambiguation.
Keywords: Territorial Disambiguation, Legal—DocML, Large Language Models
College: Faculty of Humanities and Social Sciences
Start Page: 412
End Page: 414

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