Use of Natural Language Processing Techniques for Forensic Analysis in Spanish

In the digital forensics process, an essential step is the analysis of evidence contained in seized devices, a task that requires a significant investment of time to identify patterns and evidence that strengthen a judicial investigation.Advances in Natural Language Processing (NLP), particularly models based on Transformers, offer great potential for automating this analysis and facilitating the accurate detection of relevant information.However, there are still a few solutions in Spanish aimed at processing legal texts or identifying crimes.This work proposes an automated methodology for analysing digital evidence using NLP techniques trained for Spanish text.Its objective is to optimise the extraction of relevant information in the forensic context, reducing the analysis time and improving the accuracy of detecting data that is significant for investigations.