AI & LLMs applied to law Term #14 / 50

Predictive Justice

Predictive justice refers to the use of AI algorithms to analyze past court decisions in order to anticipate the likely outcome of a dispute, estimate damages, and assess the chances of success. Predictice (2016, acquired by Doctrine in July 2025) analyzes more than 60 million documents. Article 33 of the 2019 French law prohibits the publication of named statistics about judges.

Predictive justice — sometimes called "analytical justice" to avoid misunderstandings — consists of using AI algorithms to analyze vast corpora of court decisions and extract statistical trends from them. The goal is not to "predict" a decision in the strict sense, but to assess probabilities: the chances of success of an appeal, the ranges of damages observed, and the most effective arguments before a given court.

In France, Predictice has been the pioneer in the field since 2016. Acquired by Doctrine in July 2025, the platform analyzes more than 60 million legal documents to provide lawyers and legal teams with quantitative insights into case law practices. These tools make it possible to ground litigation strategy in objective data and to inform clients with factual information about the possible outcomes of their dispute.

The French legal framework strictly regulates this practice. Article 33 of the French law of 23 March 2019 on justice reform prohibits the reuse of judges' identity data to evaluate or predict their professional behavior, under penalty of five years' imprisonment. This provision is designed to protect the independence of judges while still allowing anonymized statistical analysis of case law.

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