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
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Owen Byrd , the Chief Evangelist at Lex Machina is really excited about the latest module of legal analytics. Byrd provided me with a preview of the new commercial litigation product. While Byrd is proud of all of the Lex Machina modules, he sees the commercial product as providing lawyers with a truly unique set of insights . According to Byrd until today there was no easy way to isolate analytics for the most common types of commercial litigation cases:”breach of contract” and “business tort.” Sophisticated docket researchers have been frustrated by the gaps in the federal NOS codes which frustrate the tracking and analysis of many important types of litigation.
