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INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges
Feb. 27, 2024, 5:51 a.m. | Jayr Pereira, Andre Assumpcao, Julio Trecenti, Luiz Airosa, Caio Lente, Jhonatan Cl\'eto, Guilherme Dobins, Rodrigo Nogueira, Luis Mitchell, Roberto L
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper introduces INACIA (Instru\c{c}\~ao Assistida com Intelig\^encia Artificial), a groundbreaking system designed to integrate Large Language Models (LLMs) into the operational framework of Brazilian Federal Court of Accounts (TCU). The system automates various stages of case analysis, including basic information extraction, admissibility examination, Periculum in mora and Fumus boni iuris analyses, and recommendations generation. Through a series of experiments, we demonstrate INACIA's potential in extracting relevant information from case documents, evaluating its legal plausibility, …
abstract analysis artificial arxiv audit basic case challenges court courts cs.ai cs.cl extraction framework groundbreaking information information extraction language language models large language large language models llms opportunities paper type
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