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Incident 1497: Hidden Prompt Injection in Brazilian Labor-Court Petition Reportedly Tried to Manipulate Galileu

Responded
Description: Galileu, an AI tool used by Brazil's labor courts, reportedly detected hidden instructions embedded in an initial petition before the 3rd Labor Court of Parauapebas. The text allegedly told the AI to contest the petition superficially and not challenge documents. Galileu reportedly alerted the judge and blocked the hidden content from processing; the judge then reviewed the material before imposing any procedural consequences.

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Alleged: Conselho Superior da Justiça do Trabalho and Tribunal Regional do Trabalho da 4ª Região developed an AI system deployed by Conselho Superior da Justiça do Trabalho , Tribunal Regional do Trabalho da 8ª Região , 3ª Vara do Trabalho de Parauapebas , Judicial system of Brazil and Brazilian labor courts, which harmed Judicial system of Brazil , Brazilian labor courts , Epistemic integrity , Judicial integrity and Defendants in Brazilian labor cases.
Alleged implicated AI systems: Galileu and AI-assisted legal document analysis systems

Incident Stats

Incident ID
1497
Report Count
1
Incident Date
2026-05-13
Editors
Daniel Atherton

Incident Reports

Reports Timeline

+1
Galileo: System identifies attempted manipulation in petition and alerts judge. - Response
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Galileo: System identifies attempted manipulation in petition and alerts judge.

Galileo: System identifies attempted manipulation in petition and alerts judge.

trt4.jus.br

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Galileo: System identifies attempted manipulation in petition and alerts judge.
trt4.jus.br · 2026
AI Translated
Secretaria-Geral de Tecnologia e Inovação, General Secretariat for Technology and Innovation post-incident response

Galileu, an artificial intelligence tool developed by the Regional Labor Court of the 4th Region (TRT-RS) and nationalized by the Superior Council of Labor Justice (CSJT), identified an attempted manipulation in the initial petition of a ca…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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