This research examines how Large Language Models can transform digital forensic investigations by addressing efficiency challenges faced by law enforcement agencies.

• Investigates how LLMs can help reduce overwhelming case backlogs in digital forensic labs
• Addresses key challenges including bias, explainability, censorship, and resource requirements
• Evaluates ethical and legal considerations for AI integration in forensic workflows
• Provides a framework for responsible LLM adoption in sensitive investigative contexts

For security professionals, this research offers practical insights into leveraging AI to enhance investigative capabilities while maintaining legal compliance and evidence integrity.

Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency