Digital evidence is estimated to be a factor in about 90% of criminal cases, and mobile phones are the most seized devices. The popularity of smartphones has also increased the ease of sharing high-quality multimedia via social media and native texting. In CSEA criminal cases, images and videos can serve as important forms of digital evidence – whether it is a “sext” sent from the offender to the victim, or child sex abuse material created by the offender. Although the offenders conceal their faces, other biometric features are present, including the dorsal side of the hand, and research has shown that knuckles and fingernail beds are valid forms of unique biometrics for identification. This presentation will discuss the research and development of the Suspect Hand Biometrics Tool – a digital forensics tool that automatically processes images and videos to extract knuckle and fingernail bed biometrics. We will provide use cases demonstrating the Suspect Hand Biometrics Tool, which will be free of charge for law enforcement. In addition, cases will be presented that outline the process for conducting and presenting forensic hand comparisons in court as evidence. Finally, we will include recommendations on collecting comparison and exemplar imagery for law enforcement investigations that require forensic hand comparisons.