JuriDiscovery: Automated Analysis of Legal Dispute Triggered by Public Policies Using Artificial Intelligence. A Case Study Applied to the Individual Microentrepreneur Loreane Brandizzi, Guilherme Rodrigues Frontiers in Artificial Intelligence and Applications, 2025 The litigation arising from weaknesses in the implementation of public policies in Brazil has become a growing challenge. Among the many affected groups, Individual Microentrepreneurs (MEI) represent a significant case, with thousands of lawsuits addressing rights, obligations, and structural shortcomings of this regime. Analyzing such cases is complex due to the large volume and unstructured nature of judicial data. Advances in Artificial Intelligence (AI), particularly Large Language Models (LLMs) and semantic clustering, offer opportunities to transform legal texts into structured knowledge. This study presents a pipeline that combines BERTopic and prompt engineering to extract and analyze judicial cases involving MEIs. The results highlight recurring issues such as employment relationships, social security benefits, free legal aid, tax exemptions, and registration fraud. The methodology proved robust, scalable, and adaptable to other judicial contexts, contributing to both academic research and decision-making in public administration and legal practice.
Positional Encoder Graph Quantile Neural Networks for Geographic Data Transactions on Machine Learning Research, 2025
Calibrating Multivariate Regression with Localized PIT Mappings L Kock, GS Rodrigues, SA Sisson, N Klein, DJ Nott Journal of Computational and Graphical Statistics, 1-19 , 2026 2026
Predictive variational inference for flexible regression models L Kock, SA Sisson, GS Rodrigues, DJ Nott arXiv preprint arXiv:2602.22582 , 2026 2026
Pseudo-labeling for Multi-label Legal Text L Freitas¹, T Rodrigues, G Rodrigues Intelligent Systems: 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE … , 2026 2026
Pseudo-labeling for Multi-label Legal Text Classification L Freitas, T Rodrigues, G Rodrigues, P Edokawa, A Farias Brazilian Conference on Intelligent Systems, 363-377 , 2025 2025
JuriDiscovery: Automated Analysis of Legal Dispute Triggered by Public Policies using Artificial Intelligence a Case Study Applied to the Individual Microentrepreneur L Brandizzi, G Rodrigues Legal Knowledge and Information Systems: JURIX 2025: The Thirty-eighth … , 2025 2025
Positional Encoder Graph Quantile Neural Networks for Geographic Data WER de Amorim, SA Sisson, T Rodrigues, DJ Nott, GS Rodrigues arXiv preprint arXiv:2409.18865 , 2024 2024 Citations: 3
Calibrated Multivariate Regression with Localized PIT Mappings L Kock, GS Rodrigues, SA Sisson, N Klein, DJ Nott arXiv preprint arXiv:2409.10855 , 2024 2024 Citations: 1
Text clustering applied to data augmentation in legal contexts LJG Freitas, T Rodrigues, G Rodrigues, P Edokawa, A Farias arXiv preprint arXiv:2404.08683 , 2024 2024 Citations: 5
Text clustering applied to data augmentation in legal contexts L José Gonçalves Freitas, T Rodrigues, G Rodrigues, P Edokawa, ... arXiv e-prints, arXiv: 2404.08683 , 2024 2024
Model-free local recalibration of neural networks R Torres, DJ Nott, SA Sisson, T Rodrigues, JG Reis, GS Rodrigues arXiv preprint arXiv:2403.05756 , 2024 2024 Citations: 3
A probabilistically-oriented analysis of the performance of asr systems for brazilian radios and tvs DM de Azevedo, GS Rodrigues, M Ladeira Brazilian Conference on Intelligent Systems, 169-180 , 2022 2022 Citations: 2
Likelihood-free approximate Gibbs sampling GS Rodrigues, DJ Nott, SA Sisson Statistics and computing 30 (4), 1057-1073 , 2020 2020 Citations: 38
Recalibration: A post-processing method for approximate Bayesian computation GS Rodrigues, D Prangle, SA Sisson Computational Statistics & Data Analysis 126, 53-66 , 2018 2018 Citations: 28
Inferences on the acquisition of multi-drug resistance in mycobacterium tuberculosis using molecular epidemiological data GS Rodrigues, AR Francis, SA Sisson, MM Tanaka Handbook of Approximate Bayesian Computation, 481-511 , 2018 2018 Citations: 9
Inferences on the acquisition of multidrug resistance in\emph {Mycobacterium tuberculosis} using molecular epidemiological data GS Rodrigues, AR Francis, SA Sisson, MM Tanaka arXiv preprint arXiv:1704.04355 , 2017 2017 Citations: 1
New methods for infinite and high-dimensional approximate Bayesian computation G Rodrigues UNSW Sydney , 2017 2017 Citations: 4
Functional regression approximate Bayesian computation for Gaussian process density estimation GS Rodrigues, DJ Nott, SA Sisson Computational Statistics & Data Analysis 103, 229-241 , 2016 2016 Citations: 14
Designing multi-level studies::: sampling voters and electoral contexts G Rodrigues Electoral Studies , 2002 2002
MOST CITED SCHOLAR PUBLICATIONS
Likelihood-free approximate Gibbs sampling GS Rodrigues, DJ Nott, SA Sisson Statistics and computing 30 (4), 1057-1073 , 2020 2020 Citations: 38
Recalibration: A post-processing method for approximate Bayesian computation GS Rodrigues, D Prangle, SA Sisson Computational Statistics & Data Analysis 126, 53-66 , 2018 2018 Citations: 28
Functional regression approximate Bayesian computation for Gaussian process density estimation GS Rodrigues, DJ Nott, SA Sisson Computational Statistics & Data Analysis 103, 229-241 , 2016 2016 Citations: 14
Inferences on the acquisition of multi-drug resistance in mycobacterium tuberculosis using molecular epidemiological data GS Rodrigues, AR Francis, SA Sisson, MM Tanaka Handbook of Approximate Bayesian Computation, 481-511 , 2018 2018 Citations: 9
Text clustering applied to data augmentation in legal contexts LJG Freitas, T Rodrigues, G Rodrigues, P Edokawa, A Farias arXiv preprint arXiv:2404.08683 , 2024 2024 Citations: 5
New methods for infinite and high-dimensional approximate Bayesian computation G Rodrigues UNSW Sydney , 2017 2017 Citations: 4
Positional Encoder Graph Quantile Neural Networks for Geographic Data WER de Amorim, SA Sisson, T Rodrigues, DJ Nott, GS Rodrigues arXiv preprint arXiv:2409.18865 , 2024 2024 Citations: 3
Model-free local recalibration of neural networks R Torres, DJ Nott, SA Sisson, T Rodrigues, JG Reis, GS Rodrigues arXiv preprint arXiv:2403.05756 , 2024 2024 Citations: 3
A probabilistically-oriented analysis of the performance of asr systems for brazilian radios and tvs DM de Azevedo, GS Rodrigues, M Ladeira Brazilian Conference on Intelligent Systems, 169-180 , 2022 2022 Citations: 2
Calibrated Multivariate Regression with Localized PIT Mappings L Kock, GS Rodrigues, SA Sisson, N Klein, DJ Nott arXiv preprint arXiv:2409.10855 , 2024 2024 Citations: 1
Inferences on the acquisition of multidrug resistance in\emph {Mycobacterium tuberculosis} using molecular epidemiological data GS Rodrigues, AR Francis, SA Sisson, MM Tanaka arXiv preprint arXiv:1704.04355 , 2017 2017 Citations: 1
Calibrating Multivariate Regression with Localized PIT Mappings L Kock, GS Rodrigues, SA Sisson, N Klein, DJ Nott Journal of Computational and Graphical Statistics, 1-19 , 2026 2026
Predictive variational inference for flexible regression models L Kock, SA Sisson, GS Rodrigues, DJ Nott arXiv preprint arXiv:2602.22582 , 2026 2026
Pseudo-labeling for Multi-label Legal Text L Freitas¹, T Rodrigues, G Rodrigues Intelligent Systems: 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE … , 2026 2026
Pseudo-labeling for Multi-label Legal Text Classification L Freitas, T Rodrigues, G Rodrigues, P Edokawa, A Farias Brazilian Conference on Intelligent Systems, 363-377 , 2025 2025
JuriDiscovery: Automated Analysis of Legal Dispute Triggered by Public Policies using Artificial Intelligence a Case Study Applied to the Individual Microentrepreneur L Brandizzi, G Rodrigues Legal Knowledge and Information Systems: JURIX 2025: The Thirty-eighth … , 2025 2025
Text clustering applied to data augmentation in legal contexts L José Gonçalves Freitas, T Rodrigues, G Rodrigues, P Edokawa, ... arXiv e-prints, arXiv: 2404.08683 , 2024 2024
Designing multi-level studies::: sampling voters and electoral contexts G Rodrigues Electoral Studies , 2002 2002
