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This paper introduces INACIA (Instru\c{c}\~ao Assistida com Intelig\^enciaArtificial), a groundbreaking system designed to integrate Large LanguageModels (LLMs) into the operational framework of Brazilian Federal Court ofAccounts (TCU). The system automates various stages of case analysis, includingbasic information extraction, admissibility examination, Periculum in mora andFumus boni iuris analyses, and recommendations generation. Through a series ofexperiments, we demonstrate INACIA's potential in extracting relevantinformation from case documents, evaluating its legal plausibility, andformulating propositions for judicial decision-making. Utilizing a validationdataset alongside LLMs, our evaluation methodology presents an innovativeapproach to assessing system performance, correlating highly with humanjudgment. The results highlight INACIA's proficiency in handling complex legaltasks, indicating its suitability for augmenting efficiency and judicialfairness within legal systems. The paper also discusses potential enhancementsand future applications, positioning INACIA as a model for worldwide AIintegration in legal domains.

INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges