Earlier this year I wrote a post about Pre/Dicta a new legal analytics product which “breaks all the rules” followed in the legal analytics market. Today Pre/Dicta announced the availability of predictions for new motion types, a new dashboard and additional interactive features. Unlike other analytics products which focuses on “the law.” Pre/Dicta focuses on profiling judges personal characteristics in order to predict how they will rule on a motion based on the characteristics of the cause of action, the parties and the attorney. It runs the predictions based on one piece of data – the Docket number! It doesn’t read the complaint, and it ignored the facts and defenses.

Founder Dan Rabinowitz built a methodology and an algorithm that is correct 85% of the time. Pre/Dicta has collected, enriched and analyzed more than 35 million docket entries, over 3.5 million cases, and 5.5 million parties and firms. This enables Pre/Dicta to generate a unique fingerprint or ‘DNA’ for each case and predicts judicial decisions. The availability of data-centric forecasts for the entire litigation timeline, from filing to trial, provides attorneys and their clients with a strategic edge and facilitates a more highly informed litigation strategy.

Continue Reading Pre/Dicta Adds 3 New Motion Outcome Predictions and “Doppelganger” AI Capability