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The advent of machine learning techniques has made it possible to obtainpredictive systems that have overturned traditional legal practices. However,rather than leading to systems seeking to replace humans, the search for thedeterminants in a court decision makes it possible to give a betterunderstanding of the decision mechanisms carried out by the judge. By using alarge amount of court decisions in matters of divorce produced by Frenchjurisdictions and by looking at the variables that allow to allocate an alimonyor not, and to define its amount, we seek to identify if there may beextra-legal factors in the decisions taken by the judges. From thisperspective, we present an explainable AI model designed in this purpose bycombining a classification with random forest and a regression model, as acomplementary tool to existing decision-making scales or guidelines created bypractitioners.

Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models