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

 Courtroom Insight today announced a collaboration with LexisNexis® Legal & Professional.  LN will enable customers who have both Courtroom Insight and LexisNexis to automatically access select Lexis Context Analytics and Lexis+ information about expert witnesses and judges. The new data will appear with  within the Courtroom Insight Knowledge Management platform profiles of judges

Today Bloomberg announced the launch of a new analytics
product that transforms data on more than 3 .5 million companies, 7,000 law
firms and all active federal judges into actionable insights. The product is positioned as strategic planning tool for litigators by analyzing   past patterns of judges behavior such as motion grants/denials and time to trial.

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  • Motion Outcomes and

Lex Machina is not a hard product to use. It is loaded with data and offers lawyers an infinite landscape of  data permutations. As I have often said “lawyers don’t want research products that make them feel like they are wiring a powerplant. They want to flip a light switch.” In 2014 Lex Machina launched three desktop ‘” apps”: the early case assessor,

Today Ravel Law announced the addition  of new features and extended judges analytics to cover opinions of appellate judges in 5 states.  I described Ravel’s core functionality in an earlier post Ravel Law: Legal Research Radically Reimagined. I also wrote a post when  Ravel  launched its  Judicial Analytics  product in April
2015. The initial launch offered analytics for federal judges.

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