Fraud detection is focused on creating algorithms that look for transactions (such as credit card) that are outside the usual profile of the user. Many of these algorithms include the ability to "learn" over time as more transactions and users are added. All of this is basically a form of pattern detection using predictive and adaptive analystics. This is very different than computer forsensics where you are doing a deep dive on a computer in regards to imaging, alterations, and requires full documentation on proven chain of custody.
Did the audit team state that they are only using R for computer forensics and absolutely nothing else?
This is why there is a clear set of tools used for computer forensics that meet the requirements of accrediting organizations and the requirements for court evidence.
So a business desires to recover data.... which is total different from computer forensics. Learn the difference.
Oh, so you are assuming that there has been election fraud, that there has been criminal activity, and the evidence gathered will be submitted to a court of law? If the evidence will be submitted to a court of law or a DA for criminal prosecution, I agree with you. If that is not the case, there is nothing wrong with using R. https://www.r-studio.com/Forensic-and-DataRecovery-Business.html R-Studio for Forensic and Data Recovery Business.