This chapter discusses the incorporation of natural language processing (NLP) into drone forensics to efficiently analyze human-readable drone log files. These artifacts are a rich source of evidence in unmanned aerial vehicles (UAVs). By applying NLP techniques, such as named-entity recognition and sentiment analysis, it can automate the extraction and interpretation of data from these logs. Therefore, the method improves the speed and accuracy of forensic analysis. This integration of NLP into drone forensics not only optimizes the analysis process but also opens new possibilities to improve drone security and forensics.