Once GDF obtained the data from the appropriate clearing firm, it set out to rebuild the data in a manner most easy to understand from a historical perspective in order to give the attorneys a heads up on the fraudulent activities that took place at the brokerage house. After weeks of recreating the data in a forensically sound manner in order to give the attorneys the chance to form their legal arguments and find fraud and damages, GDF realized that the data was not accurate; something was amiss. At that point GDF consulted with the attorneys and their industry experts to determine why the data received from the clearing house did not match up to other independent information regarding the case. During those consultations, GDF technologists put the data through numerous experiments and double and triple checks and came to the conclusion that the data was inaccurate because of the way the clearing firm reported it, and delivered it. This information was relayed to the IT department at the clearing firm who reviewed GDF's conclusions and realized their mistake. The decompression algorithms used to output the data from the original trading records at the brokerage house were wrong. The clearing firm immediately corrected the problem and output again the data. This time, GDF checked the data for accuracy and found that the data was unchanged from its original state. Now began the process of rebuilding the data to be used in a constructive manner by the attorneys.
Using limited technical documentation supplied by the clearing firm together with its strong knowledge of digital data, GDF recreated the entire application used to record stock trades for customers who were defrauded. The ten year transaction record was organized so counsel and their experts could examine trading activity and develop their arguments. GDF reported identified transaction patterns for the legal team and industry experts to evaluate. The rebuilt transaction record gave the damages experts a clean basis for their calculation.