Large language models (LLMs) have shown great promise in assisting forensic report writing, particularly within introductory sections of reports. Our experiments reveal that LLMs can effectively summarize and reduce text within these segments, demonstrating their potential to enhance the process of report writing. However, we must recognize that complete automation of digital forensics reporting is still unfeasible, as human expertise and oversight are crucial for more advanced sections.
Evaluation (formerly Discussion)
In this section, we assess the potential of LLMs to assist in report writing, particularly within introductory sections. We identify six sections with high potential for LLM assistance: Introduction, Items received, Methodology, Results, and Summary. The complexity of the Discussion and Conclusion renders them less suitable for LLM assistance.
Experimental Setup
To evaluate the efficacy of LLMs in assisted report writing, we established a setup where LLMs draft introductory sections of reports based on given input. Our findings indicate that LLMs can effectively summarize and reduce text within these segments, but they cannot yet replace human judgment entirely.
Conclusion
In conclusion, while LLMs display great potential in assisting forensic report writing, we must recognize their limitations. Complete automation of digital forensics reporting is still unfeasible due to the need for human expertise and oversight. Nevertheless, LLMs can significantly enhance the process of report writing, particularly within introductory sections. Further research should continue to explore the potential of LLMs in this field while addressing the challenges that arise from their limitations.
