Digital forensics investigation on drones has gained significant popularity during the recent past mainly due to intensifying drone-related cybercrime activities. Collecting valid digital evidence from confiscated drones and to prove a case in the court of law has been a difficult and lengthy process due to various factors including choice of tools. Consequently, to simplify and speed up the investigation process, the most apt forensic investigation tools must be selected to carry out the investigation, accompanied with data mining techniques for data analysis and visualization, ascertains accuracy in reporting. We present our findings on tool selection and intelligent clustering of DJI Mavic Air drone data. The proposed methodology can help forensic investigators identify the most pertinent forensic investigation tools to foster a sound artificial intelligence-based forensic investigation process. Experiments were conducted on sample drone data, with findings reported on the superiority of Airdata.com and Autopsy forensic tools over others.