There is no dispute that the volume of data being generated every day within companies and by individuals across the world has overwhelmed traditional systems and approaches to preserving, protecting, managing and analyzing this data. In order to uncover the real value hidden within these massive piles of information, data analytics are increasingly being used to both spot patterns of behavior that have occurred in the past and also to predict future events. Businesses and other organizations are increasingly making use of these analytic capabilities to improve their revenue streams or to determine how best to deliver services to their customers and constituents.
For lawyers tasked with defending or prosecuting legal matters, this is the front line of the new digital age. Technology Assisted Review (TAR) is a form of predictive coding data analytics that is now commonly used to find and classify relevant data to the matter at hand. Using TAR, lawyers can reduce enormous amounts of data to the specific data relevant to the case. Further, TAR can help lawyers not only find the right documents, but can also help identify the important facts related to the case. This can help resolve the matter before an actual trial when the claims can either be supported or refuted through the presentation of data during a “meet and confer” or other form of preliminary litigation process.
The implications of TAR and other forms of data analytics are fast emerging. Lawyers, and Information Governance professionals who work together to collect, preserve, secure, produce and eventually dispose of records and information all need to understand and embrace the use of these tools or risk fast becoming extinct in their fields of expertise.
Speaker: Bennett Borden,Esq.