Description
Litigation prediction models use AI and machine learning to forecast the potential outcomes of legal cases based on historical data, case specifics, and relevant precedents. These models analyze various factors such as jurisdiction, judge history, previous rulings, and case similarities to provide insights into the likelihood of success or failure. This predictive approach helps legal teams strategize more effectively and make informed decisions about proceeding with or settling cases.
