Resumen-The digital forensic analysis seeks the application of scientific and statistical techniques to identify, collect, preserve and present the relevant digital evidence that allows the hypothesis to be affirmed or rejected against a possible criminal act.The current methods of digital forensic analysis, although effective for the visual analysis of the material evidence, do not allow to execute in an automated way and for large volumes of data, correlation studies on the obtained files, validation of metadata and identification of anomalies in files of text, graphics or audiovisual.It is for this reason that artificial intelligence techniques have been proposed for data processing, identifying patterns and trends that allow noticing aspects that are not visually perceptible.This paper discusses the role that artificial intelligence can play in digital forensic analysis, proposing a review of the literature, in order to illustrate the areas of computer forensics in which artificial intelligence techniques have been used to date.This, to identify a new work niche in this area, hoping that the ideas in this document can represent promising directions for the development of more efficient and effective computer forensic tools.