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Textual insights: what can computers teach legal scholars about law?
Umeå University, Faculty of Social Sciences, Department of Law.ORCID iD: 0000-0001-6009-7412
2024 (English)In: Stockholm IP Law Review, no 2, p. 25-32Article in journal (Other academic) Published
Abstract [en]

Legal research has historically relied on the manual and systematic study of authoritative texts, a methodology that has remained largely unchanged despite technological advancements. However, recent developments in natural language processing and other data-driven approaches present new opportunities for legal scholars. This essay examines whether and how these computational tools can complement doctrinal approaches and explores the potential of computational methods to enhance and transform legal scholarship. In emphasizing the compatibility of computational and doctrinal approaches, it argues that by integrating these approaches, legal scholars can make scientific discoveries beyond the scope of either method alone. The essay concludes by outlining the steps necessary for legal scholarship to fully embrace and benefit from these emerging technologies.

Place, publisher, year, edition, pages
2024. no 2, p. 25-32
Keywords [en]
legal scholarship, computational methods, empirical legal studies, natural language processing, large language models
National Category
Law Other Legal Research
Research subject
Law; Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-238152DOI: 10.53292/33313cc8.3f967df2OAI: oai:DiVA.org:umu-238152DiVA, id: diva2:1954365
Available from: 2025-04-24 Created: 2025-04-24 Last updated: 2025-04-24Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf