Every year, corporations spend more than $250B on litigation in the US. The critical decisions - whether to
litigate or settle or where to file suit – are often made the same way they were 100 years ago. To gain insight
that companies could use to make informed decisions on legal proceedings, we built a predictive analytics
engine. The approach, combining minimal viable prediction with data from thousands of patent appeal cases over
10 years, was developed to predict outcomes in future patent appeal cases. We think of it like Moneyball but for
a market 20x the size of Major League.