A Field Put to the Test by Digital Technology: Toward AI-Enhanced Justice
Long sheltered from technological upheavals, the justice system now finds itself at a turning point. Overwhelmed by caseloads and facing increasing pressure to meet processing deadlines, courts must navigate an increasingly complex, ever-changing, and interconnected legal landscape. In the face of these challenges, artificial intelligence is making its way into courtrooms—not to replace judges, but to augment their human capabilities.
According to the European Digital Justice Observatory, by 2025, more than 30% of courts in Europe will have tested or implemented AI tools in judicial or administrative activities1. This movement is part of a broader trend: streamlining, automation, intelligent assistance, and enhanced transparency. But this development raises a crucial question: can AI be integrated into the judicial decision-making process without compromising the impartiality, humanity, and independence of the judge?
How AI Is Making Its Way Into the Judicial System
The integration of AI into the legal system is not limited to a single use case: it permeates the entire litigation process, from legal research to the drafting of the judgment.
Among the most widely used applications:
- Assisted legal research: Tools such as Lexis+, Doctrine, or Ross Intelligence (Canada) enable users to quickly search through massive legal databases, extracting relevant passages from case law or statutory texts based on a natural-language query.
- Predictive analytics: In France, the Predictice platform provides a probability score for the likelihood of success in certain types of cases, based on a statistical comparison with past decisions. In the United States, the COMPAS tool is used (controversially) to assess the risk of recidivism in parole decisions.
- Automated generation of legal content: some jurisdictions are testing AI tools to draft decision templates, standardize boilerplate paragraphs, or provide suggestions for reasoning. In China, nearly 100 courts use AI to automatically generate draft judgments in civil and commercial cases2.
- Smart online justice: Estonia is testing a platform that allows litigants to submit minor disputes to an AI system, which then proposes a settlement (subject to human approval). This system is designed for disputes involving amounts under 7,000 euros.
These practices are not neutral. They transform work methods and accelerate the pace of work, but they also impose new standards for quality, traceability, and algorithmic oversight.
A New Role for Judges: Balancing Rigor and Regulation
In this context, the role of the judge is undergoing a profound transformation. While the judge remains the ultimate decision-maker, he or she is also becoming the regulator of an algorithmic environment and the guardian of the proper use of the AI tools at his or her disposal.
This new role involves:
- an informed decision between the automated suggestions and the specific details of the case;
- constant vigilance against statistical biases, errors in contextualization, or overconfidence effects in automated recommendations;
- a greater responsibility to provide explanations, since the person subject to the decision must understand where the decision comes from… and to what extent it is (or is not) based on the machine.
In many ways, the judge becomes an enhanced interpreter—in charge of the process but dependent on a technical environment over which they do not have complete control. This new role requires clear guidelines, safeguards, and a critical understanding of AI tools.
What skills are needed to perform judicial duties with AI?
The role of a judge has always relied on core competencies: legal reasoning, active listening, impartiality, and clear writing. These qualities remain essential. But new skills are becoming indispensable in the age of AI:
- Understand the training logic of an AI model and be able to identify its limitations and biases.
- Assess the reliability of a predictive score; interpret an algorithmic result in context.
- Document the reasons for accepting or rejecting AI-generated proposals.
- Work in conjunction with big data analytics tools, without letting them take control of legal reasoning.
In its 2024 report, the National School for the Judiciary emphasized the urgent need to train judges in the fundamentals of algorithms and digital ethics, estimating that 60% of future judges will be required to use AI tools in their daily practice by 20303.
Can artificial intelligence make the justice system more equitable?
One of the arguments in favor of introducing AI into the judicial system is its ability to standardize decisions, reduce disparities between courts, and improve access to information.
Examples:
- In mass litigation (labor disputes, social security, and tax matters), comprehensive analytical tools can help identify similar cases or identify trends that contribute to the consistency of case law.
- In online proceedings, AI can help reduce processing times and facilitate access to justice, particularly for individuals who are isolated from the traditional judicial system.
But these promises also come with risks:
- The black-box effect: a decision influenced by opaque algorithmic reasoning is difficult to challenge.
- Data bias: if the model is trained on unfair or discriminatory decisions, it may reproduce them on a large scale.
- The loss of uniqueness: judges must be able to deviate from statistical norms when a case warrants it, in the interest of fairness.
Thus, AI does not inherently make the justice system more equitable. It is merely a tool: everything depends on how it is used, how it is regulated, and the people who use it.
What will the role of a judge look like in the future with AI?
The judge of tomorrow will work in an environment enriched by data, supported by intelligent assistants, but guided by human reason.
It will have tools capable of:
- analyze dozens of similar decisions in a matter of seconds;
- suggest appropriate, well-structured, and well-reasoned phrasing to them;
- to alert them to inconsistencies, overlooked case law, or potential biases.
But their role will remain the same: to evaluate, interpret, and judge. In the age of AI, the core of the profession remains unchanged, but the context in which it is practiced is becoming more demanding, more technical, and more subject to public scrutiny.
Toward an enhanced justice system that remains humane
Artificial intelligence has become an indispensable tool in many professional sectors today, and the legal system is no exception. The judge of tomorrow will not be able to ignore the technological advancements that streamline procedures, improve access to justice, or bring objectivity to certain routine decisions. But while AI can enhance the judicial function, it cannot be the source of its legitimacy.
The role of a judge involves more than just data or statistical correlations. It is based on fundamental principles: impartiality, nuanced interpretation, respect for the adversarial process, and consideration of the human context. In this sense, justice is not merely a matter of logic; it is a balance.
Therefore, the real challenge lies not in the performance of the tools, but in the judicial system’s ability to integrate AI without losing its essence. This requires ethical safeguards, appropriate training, transparent governance, and ongoing reflection on the role of judges in society.
What if artificial intelligence, far from dehumanizing the justice system, became a tool to reaffirm it as a space for informed judgment, humanity, and responsibility?
But humans must remain in control—fully aware of what the machine can do, but above all of what it must never decide in their place.
Learn more
To explore further the issue of regulating AI in sensitive areas such as the justice system, read: AI Act: Europe Sets Red Lines for Artificial Intelligence in Business
This article presents the European regulatory framework (AI Act), which classifies systems according to their risk level, with strict requirements for “high-risk” applications such as the justice system. It offers an opportunity to grasp the scope of the future legal framework for tools that our courts are gradually becoming more familiar with.
References
1. European Observatory on Digital Justice. (2025). Annual Report.
https://ec.europa.eu
2. Liang, F. et al. (2021). Constructing a Data-Driven Judiciary in China. SSRN.
https://doi.org/10.2139/ssrn.3788638
3. ENM. (2024). Artificial Intelligence and the Legal Profession. Forward-looking Report.
https://www.enm.justice.fr
