Pre/Dicta’s AI: Revolutionizing Legal Predictions

Legal Tech Crystal Ball: Pre/Dicta’s Game-Changing Expansion in Litigation Analytics

The Oracle of the Courtroom: Predicting Legal Outcomes with AI

Imagine having a crystal ball that could unveil the future of legal battles, right down to the judge’s ruling. Welcome to the era of Pre/Dicta, the litigation analytics platform that’s redefining the way lawyers approach cases. This isn’t just another tech tool; it’s a groundbreaking leap into the realm of predictive justice. Since its launch in July 2022, Pre/Dicta has boasted an impressive 85% accuracy in predicting motions to dismiss. But hold onto your legal briefs – they’re expanding their scope, stirring up the legal tech pot like never before.

A New Frontier in Legal Prediction:

Expanding the Predictive Realm:

• Beyond Motions to Dismiss: Pre/Dicta’s expansion into predicting outcomes for summary judgment, venue transfer, class certification, and motions to compel discovery marks a significant leap. This broadens the platform’s applicability across a wider range of litigation scenarios. For instance, a study by the Federal Judicial Center found that motions for summary judgment are filed in about 20% of civil cases. Pre/Dicta’s ability to predict their outcomes could vastly impact strategic planning for litigation.
• Timelines in the Telescope: The addition of litigation timeline predictions offers a strategic tool for lawyers. According to a report from Thomson Reuters, the average length of civil litigation in the U.S. can range from 18 months to 3 years, depending on the complexity and jurisdiction. Pre/Dicta’s timeline predictions could enable lawyers to better manage client expectations and resources.

Doppelgangers in the Docket:

Biographical Data Profiling:

• A Novel Approach to Judge Analysis: Traditional legal strategy involves studying the past rulings of a judge to gauge their leanings. Pre/Dicta’s use of biographical data profiling takes this a step further by finding ‘judicial doppelgangers.’ This method could be particularly useful in cases where the presiding judge has a limited track record on certain motion types. For example, in 2021, over 25% of active U.S. District Court judges had less than five years of tenure, indicating a potential lack of extensive ruling history in specific areas.
• Predictive Power of Judicial Profiles: By analyzing judges with similar backgrounds and ruling patterns, Pre/Dicta can offer insights into potential outcomes, even in cases where direct historical data is sparse. This approach might raise questions about the potential for bias or oversimplification in predictive models, but it also opens up a new frontier in legal analytics.

Case Timelines Unveiled:

• Stage-Specific Predictions: Understanding the likely duration of different litigation stages (prediscovery, discovery, and trial) can significantly influence case strategy. For instance, a Lex Machina report showed that the median time to trial in U.S. District Courts can vary greatly by case type, with contract cases averaging around 27 months. Pre/Dicta’s ability to provide more tailored timeline predictions could be a game-changer for case management.
• Strategic Planning Advantages: This feature can aid in better resource allocation and client communication. In complex litigation, where discovery stages can be lengthy and costly, having an accurate prediction of the timeline can help in negotiating settlements or preparing for prolonged trials.