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

I always believed that Gavelytics was too good a product to disappear. I reported last summer that the pioneering state litigation analytics company was shutting down. Today’s  press release reports that Gavelytics will live again as the core of  Pre/Dicta‘s state court predictive litigation component. This transformation will fulfill founder Rick Merrill’s dream: “Pre/Dicta created what I always dreamed of for Gavelytics; a litigation analytics platform that was forward-looking rather than backward-looking, that could make predictions and not just provide generic descriptive statistics.”

Launched in summer of 2022, Pre/Dicta uses data science to predict whether a case will survive a motion to dismiss by identifying the factors that influence such a decision, including the presiding judge’s net worth, political affiliation, educational and work experience, and other biographical data points that are not intuitively significant and determine whether a case will move forward

The benefit for Pre/DIcta is that this acquisition “dramatically shortens Pre/Dicta’s timeline for creating a tool that offers instant and
Continue Reading Gavelytics Lives Again! Acquired by Predictive Analytics Start Up Pre/Dicta