Automated Labelling of Judicial Controversies Before the Brazilian Supreme Court According to the Sustainable Development Goals

Automated Labelling of Judicial Controversies Before the Brazilian Supreme Court According to the Sustainable Development Goals

This paper explores the development and implementation of RAFA 2030, an automated classification tool to identify and flag cases related to the United Nations' Sustainable Development Goals (SDGs) in legal disputes before the Brazilian Supreme Court. As the apex judicial institution in Brazil,...

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Bibliographic Details
Published in:2023 IEEE International Symposium on Technology and Society (ISTAS) pp. 1 - 7
Main Authors: Canalli, Rodrigo Lobo, de Menezes, Alexandre Ferreira, de Alencar, Euler Rodrigues, Freitas, Lucas Jose Goncalves, Moreira, Paulo Henrique Vencio, Picanco, Regis Proenca
Format: Conference Proceeding
Language:English
Published: IEEE 13-09-2023
Subjects:
analysis of legal documents
artificial intelligence
Law
machine learning
Machine learning algorithms
Natural language processing
Supervised learning
Tag clouds
Text categorization
Visualization
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Summary:This paper explores the development and implementation of RAFA 2030, an automated classification tool to identify and flag cases related to the United Nations' Sustainable Development Goals (SDGs) in legal disputes before the Brazilian Supreme Court. As the apex judicial institution in Brazil, the court handles a vast array of data in the form of petitions, decisions, injunctions, appeals and other legal documents, primarily in textual format. RAFA 2030, which stands for Artificial Networks with Focus on the 2030 Agenda in Portuguese, utilizes a supervised learning algorithm based on Natural Language Processing (NLP) to aid court personnel in categorizing documents according to the SDGs. By incorporating machine learning algorithms for text classification and visual aids such as co-occurrence graphs and word clouds, RAFA 2030 streamlines legal document analysis and enhances information retrieval processes, enabling a strategic focus on socially impactful cases and demonstrating the potential of technology to enhance judicial practice and foster the achievement of the sustainable development goals.
ISSN:2158-3412
DOI:10.1109/ISTAS57930.2023.10305895