CoLABOR supports the analysis of the case law of the Supreme Administrative Court (STA) through the automatic extraction of structured information from the rulings, using artificial intelligence models.
This initiative, part of the project "Tax Litigation in Portugal: a legal and empirical study" developed by CIDEEFF, will allow for the systematization and analysis of large volumes of case law, contributing to a more comprehensive characterization of tax litigation in Portugal.
The classification of court decisions is based on a set of predefined parameters and follows an iterative methodology, designed to ensure the quality, consistency, and reliability of the information produced. The process uses large language models (LLMs), whose results are validated by comparison with a set of decisions previously classified by experts.
The main outcome of the project – which will last four months – will be a structured database that will allow for large-scale analysis of patterns, trends, and characteristics of STA decisions, constituting a highly valuable resource for researchers, legal professionals, and public decision-makers.
By applying artificial intelligence technologies to legal research, the project aims to contribute to new ways of analyzing, organizing, and producing knowledge in the field of law, demonstrating the potential of these technologies to support scientific research.
Within the scope of this collaboration, CoLABOR will support the analysis of the case law of the Supreme Administrative Court (STA), through the automatic extraction of structured information from the rulings, using artificial intelligence models. This approach will allow for the systematization and analysis of large volumes of case law information, contributing to a more comprehensive characterization of tax litigation in Portugal.
The classification of court decisions is based on a set of predefined parameters and follows an iterative methodology, designed to ensure the quality, consistency, and reliability of the information produced. The process uses large language models (LLMs), whose results are validated by comparison with a set of decisions previously classified by experts.
The main outcome of the project – which will last four months – will be a structured database that will allow for large-scale analysis of patterns, trends, and characteristics of STA decisions, constituting a highly valuable resource for researchers, legal professionals, and public decision-makers.
By applying artificial intelligence technologies to legal research, the project aims to contribute to new ways of analyzing, organizing, and producing knowledge in the field of law, demonstrating the potential of these technologies to support scientific research.