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English Information

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Authors
# Name
1 Barbara Martinez de Lucena(barbara.lucena@posgrad.ufsc.br)
2 Carina Dorneles(carina.dorneles@ufsc.br)

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Reference
# Reference
1 Ashley, K. D. (2017). Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age. Cambridge University Press.
2 Chalkidis, I., Fergadiotis, M., Malakasiotis, P., Aletras, N., and Androutsopoulos, I. (2020). LEGAL-BERT: The muppets straight out of law school. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 2898–2904. Association for Computational Linguistics.
3 Chalkidis, I., Jana, A., Hartung, D., Bommarito, M., Androutsopoulos, I., Katz, D. M., and Aletras, N. (2022). LexGLUE: A benchmark dataset for legal language understanding in English. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4310–4330. Association for Computational Linguistics.
4 El Hamdani, R., Bonald, T., Malliaros, F., Holzenberger, N., and Suchanek, F. (2024). The factuality of large language models in the legal domain. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery.
5 Katz, D. M., Hartung, D., Gerlach, L., Jana, A., and Bommarito, M. J. (2023). Natural language processing in the legal domain. arXiv preprint arXiv:2302.12039.
6 Lai, J., Gan, W., Wu, J., Qi, Z., and Yu, P. S. (2024). Large language models in law: A survey. AI Open, 5:181–196.
7 Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-t., Rocktäschel, T., Riedel, S., and Kiela, D. (2020). Retrieval-augmented generation for knowledge-intensive NLP tasks. In Advances in Neural Information Processing Systems, volume 33, pages 9459–9474.
8 Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., and Liang, P. (2024). Lost in the middle: How language models use long contexts. Transactions of the Association for Computational Linguistics, 12:157–173.
9 Siino, M., Falco, M., Croce, D., and Rosso, P. (2025). Exploring LLMs applications in law: A literature review on current legal NLP approaches. IEEE Access, 13:18253–18276.
10 Sun, Z. (2023). A short survey of viewing large language models in legal aspect. arXiv preprint arXiv:2303.09136.
11 Zhong, H., Xiao, C., Tu, C., Zhang, T., Liu, Z., and Sun, M. (2020). How does NLP benefit legal system: A summary of legal artificial intelligence. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 5218–5230. Association for Computational Linguistics