  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, and
formulating propositions for judicial decision-making. Utilizing a validation
dataset alongside LLMs, our evaluation methodology presents a novel approach to
assessing system performance, correlating highly with human judgment. These
results underscore INACIA's potential in complex legal task handling while also
acknowledging the current limitations. This study discusses possible
improvements and the broader implications of applying AI in legal contexts,
suggesting that INACIA represents a significant step towards integrating AI in
legal systems globally, albeit with cautious optimism grounded in the empirical
findings.
