Re-Framing Case Law Citation Prediction from a Paragraph Perspective

Henrik Palmer Olsen; Nicolas Garneau; Yannis Panagis; Johan Lindholm; Anders Søgaard

doi:10.3233/FAIA230982

Re-Framing Case Law Citation Prediction from a Paragraph Perspective

Henrik Palmer Olsen^*, Nicolas Garneau, Yannis Panagis, Johan Lindholm, Anders Søgaard

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Case law citation prediction, i.e., predicting what historical cases are relevant for your current case, can assist legal discovery and decision-making, but legal documents are long, and often only parts of them are relevant for a particular use case. We therefore reframe case law citation prediction as a paragraph-to-paragraph citation task, introduce a new dataset, and train and evaluate new models. We also evaluate our models qualitatively. Our resources provide a first step toward discovering citation patterns and modeling legal rules in EU law from precedent documents.

Original language	English
Title of host publication	Legal Knowledge and Information Systems - JURIX 2023 : 36th Annual Conference
Editors	Giovanni Sileno, Jerry Spanakis, Gijs van Dijck
Publisher	IOS Press BV
Publication date	2023
Pages	323-328
ISBN (Electronic)	9781643684727
DOIs	https://doi.org/10.3233/FAIA230982
Publication status	Published - 2023
Event	36th International Conference on Legal Knowledge and Information Systems, JURIX 2023 - Maastricht, Netherlands Duration: 18 Dec 2023 → 20 Dec 2023

Conference

Conference	36th International Conference on Legal Knowledge and Information Systems, JURIX 2023
Country/Territory	Netherlands
City	Maastricht
Period	18/12/2023 → 20/12/2023

Series	Frontiers in Artificial Intelligence and Applications
Volume	379
ISSN	0922-6389

Bibliographical note

Publisher Copyright:
© 2023 The Authors.

Keywords

case law citation
legal dataset
legal rules
link prediction

Access to Document

10.3233/FAIA230982Licence: CC BY-NC

FulltextFinal published version, 214 KBLicence: CC BY-NC

Cite this

Olsen, H. P., Garneau, N., Panagis, Y., Lindholm, J., & Søgaard, A. (2023). Re-Framing Case Law Citation Prediction from a Paragraph Perspective. In G. Sileno, J. Spanakis, & G. van Dijck (Eds.), Legal Knowledge and Information Systems - JURIX 2023: 36th Annual Conference (pp. 323-328). IOS Press BV. Frontiers in Artificial Intelligence and Applications Vol. 379 https://doi.org/10.3233/FAIA230982

Re-Framing Case Law Citation Prediction from a Paragraph Perspective. / Olsen, Henrik Palmer ; Garneau, Nicolas ; Panagis, Yannis; Lindholm, Johan; Søgaard, Anders.

Legal Knowledge and Information Systems - JURIX 2023: 36th Annual Conference. ed. / Giovanni Sileno; Jerry Spanakis; Gijs van Dijck. IOS Press BV, 2023. p. 323-328 (Frontiers in Artificial Intelligence and Applications, Vol. 379).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Olsen, HP , Garneau, N , Panagis, Y, Lindholm, J & Søgaard, A 2023, Re-Framing Case Law Citation Prediction from a Paragraph Perspective. in G Sileno, J Spanakis & G van Dijck (eds), Legal Knowledge and Information Systems - JURIX 2023: 36th Annual Conference. IOS Press BV, Frontiers in Artificial Intelligence and Applications, vol. 379, pp. 323-328, 36th International Conference on Legal Knowledge and Information Systems, JURIX 2023, Maastricht, Netherlands, 18/12/2023. https://doi.org/10.3233/FAIA230982

Olsen HP , Garneau N , Panagis Y, Lindholm J, Søgaard A. Re-Framing Case Law Citation Prediction from a Paragraph Perspective. In Sileno G, Spanakis J, van Dijck G, editors, Legal Knowledge and Information Systems - JURIX 2023: 36th Annual Conference. IOS Press BV. 2023. p. 323-328. (Frontiers in Artificial Intelligence and Applications, Vol. 379). https://doi.org/10.3233/FAIA230982

Olsen, Henrik Palmer ; Garneau, Nicolas ; Panagis, Yannis ; Lindholm, Johan ; Søgaard, Anders. / Re-Framing Case Law Citation Prediction from a Paragraph Perspective. Legal Knowledge and Information Systems - JURIX 2023: 36th Annual Conference. editor / Giovanni Sileno ; Jerry Spanakis ; Gijs van Dijck. IOS Press BV, 2023. pp. 323-328 (Frontiers in Artificial Intelligence and Applications, Vol. 379).

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