Data Protection in Brazil: Applying Text Mining in Court documents

With the intensification of information technology usage and the emergence of artificial intelligence, data protection has become a topic of debate in academia, spanning from the business context to the political sphere. In Brazil, from a legal perspective, data protection is not a new topic; it has been the subject of court rulings and jurisprudence long before the enactment of the Brazilian General Data Protection Law (GDPL). This work aims to present the analytical process and the outcomes of analyzing jurisprudence regarding data protection and relates issues. To achieve this, search strings and data acquisition agents were developed for use on a portal dedicated to Brazilian legal texts, creating a corpus containing 10,009 documents. Through this, an exploratory analysis of the texts from Courts of Justice was conducted considering the types of jurisprudence and case summaries. The main results in the current research phase demonstrate the evolution of associated texts before and after GDPL, based on the date of promulgation of the law. It is also possible to visualize how the cases are distributed among each state court, highlighting the states of the southeast and south regions, as well as the main occurrences within each Brazilian state. By analyzing the legal levels at which decisions have been made, we can also understand the extent of these cases that have been aggravated.