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Using Agreement Statements to Identify Majority Opinion in UKHL Case Law

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
Subtitle of host publicationLegal Knowledge and Information Systems (Jurix2018)
EditorsMonica Palmirani
Place of PublicationNetherlands
Publisher or commissioning bodyIOS Press
Number of pages10
ISBN (Electronic)9781614999355
ISBN (Print)9781614999348
DateAccepted/In press - 12 Dec 2018
DatePublished (current) - 31 Dec 2018


This paper is concerned with the task of finding majority opinion (MO) in UK House of Lords (UKHL) case law by analysing agreement statements (AS) that explicitly express the appointed judges' acceptance of each other's reasoning. We introduce a corpus of 300 UKHL cases in which the relevant AS and MO have been annotated by three legal experts; and we introduce an AI system that automatically identifies this AS and MO with a performance comparable to humans.

    Research areas

  • Majority Opinion, UK House of Lords

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  • Full-text PDF (final published version)

    Rights statement: This is the final published version of the article (version of record). It first appeared online via IOS Press at 10.3233/978-1-61499-935-5-141 . Please refer to any applicable terms of use of the publisher.

    Final published version, 301 KB, PDF document

    Licence: CC BY-NC


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