The main characteristics of legal research lie in its complex operation and the articulation between science, technology, politics, and law. This is why it is claimed that the technology helps experts in processing information resulting from the sources of a legal investigation. Furthermore, the data mining process offers statistical techniques and pattern recognition and trend identification in the stored information. In this way, it facilitates its study and offers a significant contribution to the speed and efficiency required by today's users. Therefore, the main objective of the research is to develop a simple method for mining legal opinions enriched with Neutrosophy that contributes to legal scientific research. This multidisciplinary project allowed obtaining a model that integrates single value neutrosophic numbers to calculate polarity and statistical processing based on data clustering.