Generative AI isn’t the whole picture, either. Predictive AI is quite good at what it does — just ask anyone puzzled by the social media ads that seem to read your mind, noted Dan Rabinowitz, the CEO of Pre-Dicta.

he two-day conference, which takes place on June 7 and 8 at the new Bespoke venue in San Francisco, has top speakers from law firms and ALSPs, as well as senior inhouse lawyers and those in legal ops roles, and of course plenty of pioneers from legal tech companies.

The ability to predict how a judge will act is “as critical as writing briefs” to litigators, said Dan Rabinowitz, chief executive officer of Pre/Dicta, the company that designed the artificial intelligence-powered software.

Law firms adopting an AI legal prediction platform are experiencing a transformative change in their practice approach. They can now offer risk mitigation and case road mapping based on case timelines and outcome probabilities derived from billions of calculations, something previously unimaginable.

Using Pre/Dicta requires only that you enter a case number. It will then show a dashboard offering a prediction as to the likelihood of a motion to dismiss being granted. It will also show its analysis of similar cases. The Case Timeline shows likely outcomes for at each of the three states of litigation and the likely timeline to that outcome.

Pre/Dicta’s proprietary algorithms use artificial intelligence to uncover judicial patterns. We’re told that its predictions are 85% accurate for motions to dismiss across all 94 U.S. federal district courts. The newly released augmented capabilities provide insights into additional motions through AI data-profiling. These include the most consequential motions: summary judgment, class certification, and venue transfer.

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.

AI-powered database called Pre/Dicta is helping lawyers and plaintiffs predict how judges will rule in civil cases. The database uses around 120 data points to look…

An AI-powered algorithm advises lawyers and plaintiffs on how best to invest their resources by predicting how judges will rule in civil cases based on their net worth, political affiliation, and where they went to law school. It’s turned the art of seeking out a sympathetic judge, or judge shopping, into a precise science.

Another example is Pre/Dicta’s platform, which analyzes a judge’s net worth, political affiliation and law school alma mater, among other factors, to predict whether the judge will deny or grant a motion. The company claims its predictions have an 86% accuracy rate.

For years, companies providing backward-looking statistics dominated the litigation analytics space. Users relied upon those, despite having a limited value in providing accurate and reliable predictions. Exposing users to our advanced capabilities and the algorithmic models and AI is unfamiliar territory for potential users and, at times, requires background beyond our capabilities.

he two-day conference, which takes place on June 7 and 8 at the new Bespoke venue in San Francisco, has top speakers from law firms and ALSPs, as well as senior inhouse lawyers and those in legal ops roles, and of course plenty of pioneers from legal tech companies.

What set Pre/Dicta apart was its unique approach. Instead of analyzing a judge’s past rulings to determine the likely outcome, this software collects, classifies, and analyzes the entire federal docket and every judge’s unique personal attributes including age, gender, resumé/background and political affiliation if known to determine the factors that will influence the judge’s decision in a given case.

It was great to see the interest from clients in true innovative tech that are using technology and AI in true practical ways – solutions from companies like Altumatim, apprentAI, Pre/Dicta…