  Generative AIs, especially Large Language Models (LLMs) such as ChatGPT or
Llama, have advanced significantly, positioning them as valuable tools for
digital forensics. While initial studies have explored the potential of ChatGPT
in the context of investigations, the question of to what extent LLMs can
assist the forensic report writing process remains unresolved. To answer the
question, this article first examines forensic reports with the goal of
generalization (e.g., finding the `average structure' of a report). We then
evaluate the strengths and limitations of LLMs for generating the different
parts of the forensic report using a case study. This work thus provides
valuable insights into the automation of report writing, a critical facet of
digital forensics investigations. We conclude that combined with thorough
proofreading and corrections, LLMs may assist practitioners during the report
writing process but at this point cannot replace them.
