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English Information

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Authors
# Name
1 Gustavo Moreira(gucmm@hotmail.com)
2 Luis Gustavo Nonato(gnonato@icmc.usp.br)
3 Victor Santos(victormoreli@usp.br)

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Reference
# Reference
1 Adorno, S. (2022). O fracasso do controle legal dos crimes e da violência na sociedade brasileira contemporânea. Acesso em: 8 mar. 2025
2 Batitucci, L. A., Lopes, L. I., Ferreira, R., and Paraiso, E. C. (2026). Agent orchestration - LLM for legal metadata extraction: A comparative analysis of efficiency and precision. In Souza, M., de Dios-Flores, I., Santos, D., Freitas, L., Souza, J. W. d. C., and Ribeiro, E., editors, Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 727–737, Salvador, Brazil. Association for Computational Linguistics.
3 Cerqueira, D. and Bueno, S. (2024). Atlas da Violência 2024. Ipea and FBSP, Brasília. Acesso em: 25 fev. 2025.
4 Garcia, E. A. S. (2024). Open portuguese llm leaderboard. Acesso em: nov. 2025
5 Instituto Sou da Paz (2024). Onde mora a impunidade?
6 Luz de Araujo, P. H., de Campos, T. E., de Oliveira, R. R. R., Stauffer, M., Couto, S., and Bermejo, P. (2018). LeNER-Br: a dataset for named entity recognition in Brazilian legal text. In International Conference on the Computational Processing of Portuguese (PROPOR), Lecture Notes on Computer Science (LNCS), pages 313–323, Canela, RS, Brazil. Springer
7 Minaee, S., Mikolov, T., Nikzad, N., Chenaghlu, M., Socher, R., Amatriain, X., and Gao, J. (2024). Large language models: A survey. arXiv preprint arXiv:2311.00010
8 White, J., Fu, Q., Hays, S., Vierhauser, M., Neill, R., Wiburne, E., Dorn, B., and Schmidt, D. C. (2023). A prompt pattern catalog to enhance prompt engineering with chatgpt.
9 Wu, J., Han, J., and Gao, Y. (2025). Tabagent: A multi-agent table extraction framework for unstructured documents. In 2025 5th International Symposium on Artificial Intelligence and Big Data (AIBDF), pages 600–607.
10 Zhong, H., Xiao, C., Tu, C., Zhang, T., Liu, Z., and Sun, M. (2020). How does nlp benefit the legal system: A summary of legal artificial intelligence. CoRR, abs/2004.12158