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.