Movement of data is difficult to avoid in today’s legal world. In the discovery stage of litigation, for example, a common scenario goes something like this: A client collects data via their in-house IT team or through a third party forensic collections vendor. The collected data is delivered to a law firm. The law firm outsources the data processing to a third-party vendor or processes the data in-house utilizing data processing software. The processed data is then moved into a review platform, either in-house or with a third-party vendor via their public or private cloud. Then, after the data has been initially culled, analyzed and organized, it is temporarily moved out of the review platform into yet another software program to leverage advanced analytics, data visualization, communications graphing, artificial intelligence and tools like technology assisted review. Upon completion of the analysis, the remaining data is then moved back into the review platform for final review and eventual production. Once discovery has narrowed the original data set to the most relevant documents, those materials must be shared among lawyers and parties to litigation, and that may involve the downloading of files from file shares or the transfer of files via email, incurring additional risk.
With every movement (to or from a hard drive or thumb drive, or over a network between any number of machines or devices), the data can get lost or stolen, end up in the wrong hands (inside or outside the organization), get hacked by parties with malicious intent, or otherwise become compromised or corrupted. As law firms incorporate more technology into their workflows to increase productivity and efficiency, and the number of applications and service providers embedded in their processes increases, the frequency with which data must be moved from one location or application to another also increases. Data movements are inherently risky—particularly when the data is from a client.
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