Automation is crucial for managing the increasing volume of digital evidence. However, the absence of a clear foundation comprising a definition, classification, and common terminology has led to a fragmented landscape where diverse interpretations of automation exist. This resembles the wild west: some consider keyword searches or file carving as automation while others do not. We, therefore, reviewed automation literature (in the domain of digital forensics and other domains), performed three practitioner interviews, and discussed the topic with domain experts from academia. On this basis, we propose a definition and then showcase several considerations concerning automation for digital forensics, e.g., what we classify as no/basic automation or full automation (autonomous). We conclude that it requires these foundational discussions to promote and progress the discipline through a common understanding.