Investigations of complex crimes with digital evidence increasingly require the use of modern digital devices and computer programs. Working with big data involves the accumulation, processing, and analysis of forensic information for further algorithmization and modeling of investigative actions, as well as the automation of the organizational activities of investigators. The article substantiates the need for the use of digital forensic logistics to optimize information flows and build the most effective analytical human and computer processing, not excluding the use of artificial intelligence systems. Digital forensic logistics is a sub-branch of digital forensics in the collection, identification, storage, verification, and analysis of data, as well as the generation of electronic evidence for evidence in court. The article provides the main directions of digital forensic logistics, including the logistics of evidence in criminal cases; logistics of the general organization of crime investigation; logistics planning (selection of tools and methods of investigation); logistics of putting forward versions of events; logistics of decisions in criminal matters. It is argued that the efficiency of the entire system will largely depend on the establishment of information flows and the prioritization of tasks. Quality work requires the improvement of applied digital technologies capable of providing the necessary algorithms of the evidentiary process. The use of special software, including the use of artificial intelligence systems, is becoming increasingly relevant. The logistics of making decisions in criminal cases ideally represents an electronic assistant, endowed with artificial intelligence or in the form of a special computer program, capable, based on the determination of the forensic significance of the obtained digital information (electronic evidence), to offer the investigator solutions that can change the course of the investigation and transfer the entire information system in a new state.

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