Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O

Mattia Proietti; Lucia C. Passaro; Alessandro Lenci

Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O

Mattia Proietti, Lucia C. Passaro, Alessandro Lenci

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Anthology ID:: 2025.clicit-1.87
Volume:: Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
Month:: September
Year:: 2025
Address:: Cagliari, Italy
Editors:: Cristina Bosco, Elisabetta Jezek, Marco Polignano, Manuela Sanguinetti
Venue:: CLiC-it
SIG:
Publisher:: CEUR Workshop Proceedings
Note:
Pages:: 933–941
Language:
URL:: https://aclanthology.org/2025.clicit-1.87/
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Cite (ACL):: Mattia Proietti, Lucia C. Passaro, and Alessandro Lenci. 2025. Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O. In Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025), pages 933–941, Cagliari, Italy. CEUR Workshop Proceedings.
Cite (Informal):: Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O (Proietti et al., CLiC-it 2025)
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PDF:: https://aclanthology.org/2025.clicit-1.87.pdf

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Endnote
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@inproceedings{proietti-etal-2025-leveraging,
    title = "Leveraging {LLM}s to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the {I}talian Civil Code and {GPT}4-{O}",
    author = "Proietti, Mattia  and
      Passaro, Lucia C.  and
      Lenci, Alessandro",
    editor = "Bosco, Cristina  and
      Jezek, Elisabetta  and
      Polignano, Marco  and
      Sanguinetti, Manuela",
    booktitle = "Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)",
    month = sep,
    year = "2025",
    address = "Cagliari, Italy",
    publisher = "CEUR Workshop Proceedings",
    url = "https://aclanthology.org/2025.clicit-1.87/",
    pages = "933--941",
    ISBN = "979-12-243-0587-3"
}

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%0 Conference Proceedings
%T Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O
%A Proietti, Mattia
%A Passaro, Lucia C.
%A Lenci, Alessandro
%Y Bosco, Cristina
%Y Jezek, Elisabetta
%Y Polignano, Marco
%Y Sanguinetti, Manuela
%S Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
%D 2025
%8 September
%I CEUR Workshop Proceedings
%C Cagliari, Italy
%@ 979-12-243-0587-3
%F proietti-etal-2025-leveraging
%U https://aclanthology.org/2025.clicit-1.87/
%P 933-941

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Markdown (Informal)

[Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O](https://aclanthology.org/2025.clicit-1.87/) (Proietti et al., CLiC-it 2025)

Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O (Proietti et al., CLiC-it 2025)

ACL

Mattia Proietti, Lucia C. Passaro, and Alessandro Lenci. 2025. Leveraging LLMs to Build a Semi-synthetic Dataset for Legal Information Retrieval: A Case Study on the Italian Civil Code and GPT4-O. In Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025), pages 933–941, Cagliari, Italy. CEUR Workshop Proceedings.