“Big Data” was the big thing in legal a few years ago. We all remember the major hype. The fact was that Big Data in legal usually equates to a “pretty large” data set. It also usually has just a single dimension (costs). Truly, it is an insult to genome scientists to use the term Big Data when referring to legal data.
Big Data on publicly available data is easy (premonition). But, applying the Big Data concept and methodologies to data held in private databases and spanning across multiple dimensions is much more difficult. Transforming this data into useful and actionable information means taking it the necessary step further and merging it into artificial intelligence tools. This is where Big Data was never able to go in legal, and so people referred back to tried and true terms like reporting, analysis, metrics, KPIs, etc.
