The career trajectory of Dan Rabinowitz is in many ways typical of what you'd expect for someone making their way in the Washington, D.C. legal market. He did a stint as a litigation associate at Sidley Austin, trial work at the DOJ, and moved in-house to government contractor Booz Allen. But after doing some additional work in-house at a data analytics company, Rabinowitz was inspired to take on a less-traditional role for a D.C. lawyer—that of a start-up founder. 

Rabinowitz last year launched Pre/Dicta, a data analytics company harnessing the power of big data to help predict whether a lawsuit will survive a motion to dismiss and proceed to discovery—an inflection point that, as we all know, has significant financial consequences in terms of costs and lawyer time, not to mention any potential settlement. Pre/Dicta at this point claims to be nearly 90% accurate in predicting whether a federal case will proceed to discovery.