Banca de QUALIFICAÇÃO: DAVIDSON MARTINS DA SILVA VIEIRA
Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.STUDENT : DAVIDSON MARTINS DA SILVA VIEIRA
DATE: 30/04/2026
TIME: 10:00
LOCAL: https://meet.google.com/onb-bifw-xua
TITLE:
Keywords: Artificial Intelligence. Electronic Judicial Process. Continuous Cash Benefit. Court order drafting. Procedural efficiency. Digital accessibili
KEY WORDS:
Keywords: Artificial Intelligence. Electronic Judicial Process. Continuous Cash Benefit. Court order drafting. Procedural efficiency. Digital accessibili
PAGES: 59
BIG AREA: Engenharias
AREA: Engenharia de Produção
SUBÁREA: Engenharia do Produto
SPECIALTY: Processos de Trabalho
SUMMARY:
ABSTRACT The principles of procedural speed and judicial efficiency are constitutional imperatives pursued by the Brazilian Judiciary. However, the system faces a chronic structural overload, with more than 83.8 million cases in progress and an average processing time of four years and three months per case. Within the Federal Justice system, this scenario is intensified by the high volume of Continuous Cash Benefit (BPC) demands, highly standardized cases whose procedural analysis and manual drafting phase represents a significant operational bottleneck, consuming considerable time from judges and court staff on repetitive tasks suitable for intelligent automation. In this context, this research aims to propose and validate a Proof of Concept for an Artificial Intelligence tool integrated into the Electronic Judicial Process system (PJe), named MagisDraft, to measure the impact of its use on procedural analysis time and court order drafting in BPC cases, compared to the current manual method. Using a qualiquantitative approach with bibliographic, documentary, and controlled experimental research strategies, the study seeks to validate the hypothesis that the native integration of Artificial Intelligence into the PJe workflow significantly reduces the time spent at this stage. The solution was designed based on the Design Thinking methodology and the RetrievalAugmented Generation (RAG) architecture, in compliance with the guidelines of CNJ Resolution No. 615/2025 and the Brazilian General Data Protection Law (LGPD). The results are expected to demonstrate expressive efficiency gains, contributing to reducing congestion in social security courts at the Judicial Section of Rio Grande do Norte and offering a replicable model for other sections of the 5th Region and the Federal Justice system as a whole. Keywords: Artificial Intelligence. Electronic Judicial Process. Continuous Cash Benefit. Court order drafting. Procedural efficiency. Digital accessibility
COMMITTEE MEMBERS:
Presidente - 1714250 - JAMERSON VIEGAS QUEIROZ
Interno - 347303 - MARCIANO FURUKAVA
Interno - 1378360 - MARCO ANTONIO LEANDRO CABRAL