Artificial Intelligence on the Bench: Can Machines Help Judges Deliver Justice?
By Matthew Parish
Tuesday 13 October 2026
The judiciary is amongst the most conservative of human institutions, and for very good reasons. Judges wear peculiar costumes, sit in imposing buildings, address one another using archaic forms of courtesy and frequently insist upon procedures whose origins lie in the Middle Ages. These eccentricities are not merely manifestations of professional vanity, although there is undoubtedly a little of that as well. They serve to remind us that the administration of justice is something more than an exercise in bureaucratic efficiency. It is a solemn undertaking by which the state exercises its coercive powers over individuals, their property, their liberty and sometimes their lives. Consequently judges are expected to proceed cautiously, independently and according to principles that have developed over centuries.
Into this venerable institutional environment has arrived artificial intelligence, a technology that appears to have little respect for precedent, procedure or the traditional distinction between a judicial opinion and a particularly confident piece of nonsense. Large language models can analyse enormous quantities of text, identify patterns, summarise evidence, draft legal arguments and produce apparently persuasive judicial reasoning in a fraction of the time that a human judge might require. They can also invent legal authorities, misunderstand elementary propositions of law and occasionally deliver conclusions with an assurance that would embarrass even the most pompous member of the English Bar.
The question is therefore not simply whether artificial intelligence can assist judges. Plainly it can, and in many respects it already does. The more interesting question is whether its introduction into judicial decision-making will fundamentally transform the character of justice itself. The experiences of the United Kingdom and the United States, two jurisdictions sharing the common law tradition but possessing substantially different constitutional structures, provide an illuminating starting point.
The judiciary discovers the machine
The British judiciary has approached artificial intelligence with a mixture of institutional enthusiasm and constitutional apprehension. In December 2023, guidance was first issued to judicial office holders concerning the responsible use of generative artificial intelligence. This was subsequently revised in April and October 2025, reflecting both the rapid development of the technology and the increasingly apparent difficulties associated with its application to legal reasoning.
The guidance emphasised that judges remain personally responsible for decisions issued in their names, irrespective of whether artificial intelligence has assisted in preparing them. It warned against the risks of fabricated legal authorities, unreliable analysis, algorithmic bias and the disclosure of confidential information through publicly accessible artificial intelligence systems. Nevertheless it acknowledged that artificial intelligence could usefully assist with certain administrative and analytical tasks, provided appropriate safeguards were observed.
A particularly significant development occurred on 9 October 2026, when the judiciary of England and Wales published a formal position statement on the judicial use of artificial intelligence. Signed by Sir Colin Birss, President of the Business and Property Courts and the judiciary’s Lead Judge for Artificial Intelligence, the statement adopted what it described as a cautious but positive approach. Artificial intelligence may assist judicial work, but it must not determine the outcome of proceedings or displace judicial reasoning, evaluation of evidence or the exercise of discretion.
Every artificial intelligence output used in judicial work must be reviewed, verified and approved by the responsible judicial office holder, who remains fully accountable for the result. The statement also established a centralised governance structure for approving artificial intelligence tools and supervising their introduction. Judicial pilots have examined such applications as summarisation, transcription, redaction, chronology-building, document analysis and the production of accessible explanations. Approved tools must satisfy requirements including British data residency, enterprise data protection and disabled web access.
These developments are important because they represent something more sophisticated than a prohibition upon judges using ChatGPT. The British judiciary is beginning to develop an institutional framework within which artificial intelligence becomes an accepted component of judicial administration, albeit subject to human supervision. The distinction between assisting a judge and replacing one is easy enough to articulate, although whether it can be maintained in practice is another matter entirely.
The American experiment
The United States presents a rather different picture. Her judiciary is divided between federal and state systems, with considerable institutional autonomy exercised by individual courts and judges. American judicial practice has consequently developed a more fragmented response to artificial intelligence, involving local rules, judicial standing orders, professional disciplinary proceedings and increasingly coordinated federal guidance.
In September 2026 it was reported that a federal judicial task force, chaired by Circuit Judge Sidney Thomas, was developing further recommendations concerning the use of generative artificial intelligence in court operations. The task force had examined more than sixty issues, including judicial ethics, information security, costs and the implications of artificial intelligence for access to justice. American federal courts were already experimenting with practical applications, including transcribing handwritten submissions, examining documents for procedural compliance and assisting court staff in managing administrative burdens. The governing principle remained that artificial intelligence should not exercise judicial functions independently and that its outputs required verification.
The American judiciary has also acquired considerable experience with the less attractive characteristics of generative artificial intelligence. The most notorious early example was Mata v Avianca, decided in the Southern District of New York in June 2023. Lawyers submitted legal authorities generated by ChatGPT that did not exist. The supposed judicial decisions were accompanied by plausible citations and quotations, all of which were fictitious. When challenged, the lawyers initially persisted in defending the fabricated material.
The court imposed sanctions, observing that there was nothing inherently improper about using reliable artificial intelligence tools for legal assistance. The professional obligation to verify the accuracy of submissions, however, remained with the lawyers themselves. The case was initially treated as an amusing cautionary tale about technological incompetence, but its significance was considerably greater. It exposed an epistemological difficulty at the heart of generative artificial intelligence: a machine capable of producing persuasive legal language is not necessarily capable of distinguishing legal truth from legal fiction.
This is a particularly serious problem in common law jurisdictions, where judicial authority depends upon the precise identification of earlier decisions, the facts upon which they were decided and the legal principles that can properly be extracted from them. An invented judicial precedent is not merely a factual error. It is an attempt, however inadvertent, to introduce a fictitious source of legal authority into a system whose legitimacy depends upon the authenticity of its sources.
British courts have encountered similar difficulties. In R (Ayinde) v London Borough of Haringey and Al-Haroun v Qatar National Bank QPSC [2025] EWHC 1383 (Admin), the Divisional Court examined serious problems involving false legal authorities placed before the courts. The resulting judicial guidance emphasised the professional responsibilities of lawyers to verify their citations and warned of the potential consequences of submitting fabricated authorities. Subsequent judicial decisions have reinforced these principles, including the possibility of professional disciplinary referrals where artificial intelligence has been used irresponsibly.
Yet these episodes concern principally the misuse of artificial intelligence by advocates and litigants. The more profound constitutional questions arise when judges themselves begin to rely upon the technology. After all, a lawyer who invents a precedent can be sanctioned by a judge, but who is to sanction the judge whose artificial intelligence assistant has invented one?
What does a judge actually do?
To understand the implications of artificial intelligence for the judiciary, we must first consider the nature of judicial reasoning. There is a popular misconception that judges simply identify the relevant legal rules, establish the facts and apply the former to the latter. If that were an accurate description of the judicial function, artificial intelligence might eventually perform it with remarkable efficiency.
Much routine judicial work does indeed resemble this process. A judge considering whether a claim was issued within the applicable limitation period, whether a procedural deadline has expired or whether a particular statutory requirement has been satisfied may be undertaking an exercise that can be expressed in relatively formal terms. Artificial intelligence is potentially exceptionally useful in such circumstances. It can organise evidence, identify relevant documents, calculate dates, compare contractual provisions and assist in identifying inconsistencies in testimony.
However the most difficult judicial decisions are rarely reducible to the mechanical application of rules. Common law reasoning involves identifying the principles underlying previous decisions, distinguishing superficially similar cases, reconciling conflicting authorities and sometimes developing the law incrementally in response to circumstances that earlier generations could not have anticipated.
Judges also exercise discretion. They decide whether witnesses are credible, whether contractual language should be interpreted literally or purposively, whether particular conduct was reasonable and whether competing public interests justify restrictions upon individual rights. These are not exclusively computational exercises. They involve judgments about human behaviour, institutional legitimacy, moral responsibility and the appropriate limits of state power.
A judge deciding whether a frightened witness is telling the truth is engaged in an activity fundamentally different from identifying patterns in a database. The witness may hesitate because she is dishonest, because she is traumatised, because she fears retaliation or because the courtroom itself is an intimidating environment. Human judges are hardly infallible in making such assessments, but the judicial process provides mechanisms through which their reasoning can be tested and challenged. Artificial intelligence may identify inconsistencies in the witness’s account, but whether it can legitimately evaluate the moral and psychological significance of those inconsistencies is a more difficult question.
The distinction becomes even more important in criminal proceedings. A decision to imprison someone is not simply an exercise in predicting the probability that particular conduct occurred. It represents the application of public authority to an individual whose liberty is protected by constitutional and legal principles. The judge must therefore do more than reach a plausible conclusion. The judge must provide reasons that are legally defensible, procedurally legitimate and open to appellate scrutiny.
The constitutional problem of artificial reasoning
There is an important distinction between a judicial decision being correct and its being legitimate. Suppose an artificial intelligence system could predict the outcome of an appeal before the Supreme Court of the United Kingdom with 95 per cent accuracy. Such a system would be an extraordinary analytical instrument, and lawyers would undoubtedly find it useful. Yet predictive accuracy would not necessarily entitle the machine to decide the appeal.
A judicial decision derives its authority from the constitutional position of the court, the appointment and independence of its judges, the procedural rights of the parties and the obligation to provide reasons according to law. A machine possesses none of these characteristics independently. It has not been appointed to judicial office, sworn an oath, subjected to constitutional safeguards or entrusted with public authority through the established processes of government.
Of course these objections might eventually be addressed through legislation. Parliament could conceivably establish artificial intelligence adjudicators for particular categories of disputes, subject to human appellate supervision. Similar questions would arise in the United States, although the constitutional requirements governing the exercise of federal judicial power would present additional obstacles. But the issue is not merely whether a legislature can authorise artificial adjudication. It is whether the public would accept the resulting decisions as legitimate.
Imagine being sentenced to ten years’ imprisonment by a machine. Even if the machine had reviewed every relevant authority and produced an impeccable sentencing judgment, most defendants would understandably wish to know whether a human being had genuinely considered their circumstances. The demand for human judgment is not necessarily irrational sentimentalism. It reflects an understanding that justice involves a relationship between the individual and the political community whose laws govern him.
Judges represent that community’s commitment to applying coercive authority according to principles of fairness and accountability. Their humanity is part of the institution’s legitimacy, even though it also introduces the possibility of error. Artificial intelligence therefore creates a constitutional paradox. It may eventually become better than human judges at certain forms of legal analysis, while remaining less legitimate as an independent source of judicial authority.
The attraction of efficiency
The strongest argument for introducing artificial intelligence into the judiciary is not philosophical but practical. Courts in both Britain and the United States face substantial pressures involving case management, litigation costs, documentary complexity and delays. In England and Wales, the Ministry of Justice’s artificial intelligence action plan expressly identified the potential of the technology to improve efficiency, accessibility and the administration of justice.
These pressures are especially acute in litigation involving enormous quantities of electronic evidence. Commercial disputes, financial fraud proceedings, competition cases and complex regulatory investigations may involve millions of documents. Traditionally such material has been examined by teams of lawyers and paralegals, frequently at considerable expense. Modern artificial intelligence systems can identify relevant themes, construct chronologies, compare witness accounts and locate potentially significant inconsistencies with extraordinary speed.
The benefits could be substantial. Judicial assistants might prepare preliminary summaries of lengthy submissions, judges could identify relevant passages within enormous evidential records, and court administrators could detect procedural deficiencies before they delay proceedings. In smaller civil claims, artificial intelligence might help unrepresented litigants understand procedural requirements and present their cases coherently. This would be particularly valuable in jurisdictions where professional legal representation has become prohibitively expensive for ordinary citizens.
There is a certain irony in the possibility that artificial intelligence might make the courts more accessible precisely because the legal profession has made them so complicated. The common law has developed an extraordinary intellectual architecture over centuries, but it has also developed procedural systems whose complexity can make the vindication of relatively simple rights ruinously expensive. If artificial intelligence can reduce these costs without sacrificing fairness, its introduction should be welcomed.
Yet efficiency cannot become the overriding objective of judicial administration. A justice system that disposes of cases rapidly but incorrectly is not an improvement upon one that proceeds more slowly and carefully. Nor should artificial intelligence merely become an excuse for reducing judicial resources. If governments discover that machines can summarise evidence more cheaply than judicial assistants, they may be tempted to replace experienced human personnel before the reliability of the technology has been adequately established. The resulting savings might prove illusory if appellate courts subsequently have to correct decisions contaminated by inaccurate artificial intelligence analysis.
The invisible influence of the machine
Perhaps the most serious danger associated with judicial artificial intelligence is not that machines will formally replace judges, but that they will influence judicial decisions in ways that are difficult to identify. Consider a judge confronted with a complex commercial dispute involving several thousand pages of evidence. An artificial intelligence system prepares a comprehensive summary, identifies the principal legal issues and suggests that the claimant’s case is comparatively weak. The judge reads the summary, examines selected passages of evidence and ultimately dismisses the claim.
The judgment may be entirely defensible. Nevertheless the machine has already influenced the intellectual framework within which the judge approached the case. By selecting which facts to emphasise, which authorities to identify and which arguments to characterise as significant, artificial intelligence can shape judicial reasoning before the judge has independently formed a view.
This is sometimes described as automation bias: the tendency of human decision-makers to place excessive confidence in apparently authoritative technological outputs. The problem is especially subtle because sophisticated artificial intelligence systems rarely announce their influence. Their summaries may appear balanced and their conclusions cautiously expressed. Yet the organisation of information itself can affect how human beings evaluate it.
There is an obvious analogy with the influence of judicial clerks and assistants. Senior judges have long relied upon junior lawyers to conduct research, prepare memoranda and occasionally assist with drafting judgments. The difference is that human judicial assistants are identifiable participants in an institutional hierarchy. Their competence can be assessed, their work reviewed and their reasoning interrogated.
Artificial intelligence systems may operate through processes that are considerably less transparent. Even their developers cannot always provide a complete explanation of why a particular output was generated. This creates a potential accountability gap. If a judge relies upon an artificial intelligence summary that omits a decisive piece of evidence, who bears responsibility?
The British judicial guidance answers this question formally: the judge remains responsible. That is constitutionally correct, but it does not eliminate the practical difficulty of ensuring that judges can adequately supervise systems whose internal operations they may not fully understand.
There is also the problem of confidentiality. Judicial materials frequently contain commercially sensitive information, personal medical records, intelligence material and evidence concerning vulnerable individuals. Uploading such information into an uncontrolled external system could create serious security and privacy risks. The British judiciary’s insistence upon approved tools, controlled data arrangements and restrictions upon external connectivity is therefore not bureaucratic fussiness. It reflects an essential requirement of judicial independence.
Artificial intelligence and the evolution of precedent
An even more intriguing question concerns the future development of the common law. The common law evolves through judicial decisions. Each generation of judges interprets earlier authorities in light of new circumstances, producing a continuing conversation between past and present.
Artificial intelligence is particularly well suited to analysing this accumulated body of legal material. It can identify doctrinal patterns, compare competing lines of authority and expose inconsistencies that might otherwise escape human attention. This could make legal reasoning more coherent. Judges might discover that supposedly established principles rest upon surprisingly weak foundations, or that different appellate courts have developed incompatible approaches to essentially similar questions.
Artificial intelligence could therefore become an instrument of intellectual clarification. But it might also encourage excessive conformity. A system trained predominantly upon existing judicial decisions will naturally identify the patterns and assumptions embedded within those decisions. If judges increasingly rely upon its recommendations, they may become less willing to depart from established approaches.
The result could be a common law that becomes increasingly internally consistent but less capable of creative development. This would be unfortunate because some of the most important judicial achievements have involved recognising that earlier legal assumptions were inadequate. The abolition of entrenched forms of discrimination, the development of modern administrative law and the expansion of procedural protections have frequently depended upon judges being willing to reconsider established doctrines.
Artificial intelligence may be extraordinarily capable of identifying what courts have previously said. Whether it can reliably identify what courts ought to say when the existing law has become morally or institutionally inadequate is a different proposition.
There is an additional complication. If future judicial decisions increasingly incorporate artificial intelligence analysis, those decisions will themselves become part of the material upon which subsequent artificial intelligence systems are trained. The law could gradually develop a recursive character, in which machine-assisted judgments influence later machine-assisted judgments. Such a process might reinforce existing doctrines without anyone consciously deciding that they deserve reinforcement.
The common law has always been influenced by its own history. Artificial intelligence may accelerate that tendency to an unprecedented degree, creating a judicial system in which the intellectual habits of yesterday become embedded in the technological assumptions of tomorrow.
The possibility of better judges
It would nevertheless be mistaken to assume that human judges possess some mystical intellectual quality that artificial intelligence can never approximate. Judges are human beings, and therefore subject to fatigue, prejudice, vanity, impatience and occasional intellectual laziness. They may overlook important authorities, misunderstand technical evidence or become excessively attached to their initial impressions of a case.
Artificial intelligence could help correct these weaknesses. A judicial system in which every significant judgment is subjected to an independent artificial intelligence review might identify errors before they become the subject of appeals. The machine could examine whether the judgment accurately represents the authorities cited, whether relevant evidence has been overlooked and whether the reasoning contains internal contradictions. It could also identify potentially inconsistent treatment of similar cases, thereby improving equality before the law.
These applications would not require artificial intelligence to replace judicial discretion. Instead they would strengthen the quality of human decision-making. Indeed one can imagine a future in which appellate judges routinely receive an artificial intelligence analysis of the judgments under appeal, identifying possible legal errors and highlighting the strongest arguments on both sides.
Such systems could make appellate review more efficient and potentially more rigorous. There is no compelling philosophical reason why a judge should be prohibited from using a machine to test the quality of his own reasoning. Judges already consult textbooks, academic articles, law reports and colleagues. Artificial intelligence may simply become another intellectual instrument, albeit one requiring unusually careful supervision.
The critical distinction is between a machine that assists the judge in thinking and one that becomes a substitute for thought. The best judicial artificial intelligence may therefore be the system that challenges its human user’s assumptions rather than merely producing polished confirmation of them.
Britain, America and the future of judicial independence
The differing institutional arrangements of Britain and the United States may ultimately produce distinct approaches to judicial artificial intelligence. Britain possesses a comparatively centralised judicial structure in England and Wales, with established mechanisms for issuing guidance and coordinating professional training. The October 2026 position statement suggests that artificial intelligence adoption will increasingly be supervised through centralised judicial governance.
The United States, by contrast, is likely to experience greater experimentation across federal circuits, district courts and state judicial systems. This decentralisation may encourage innovation, although it also risks producing inconsistent standards concerning disclosure, verification and acceptable judicial uses.
Neither model is necessarily superior. Centralisation can provide consistency and strong safeguards, but it may inhibit useful experimentation. Decentralisation can encourage innovation, but it may also expose litigants to differing technological practices depending upon the court in which their case happens to be heard.
Both jurisdictions will eventually have to confront a question that their present guidance only partially addresses: should litigants have a right to know when artificial intelligence has materially contributed to the preparation of a judicial decision? There are arguments in favour of disclosure. Open justice requires that judicial reasoning be capable of scrutiny, and parties should be able to challenge errors arising from technological assistance.
Yet mandatory disclosure of every minor artificial intelligence interaction could become impractical. Judges do not ordinarily disclose every conversation with a judicial assistant or every legal research tool consulted during the preparation of a judgment. A sensible distinction might therefore be drawn between administrative assistance and substantive analytical reliance.
If artificial intelligence merely corrects grammar or organises documents, disclosure may serve little purpose. If it identifies decisive authorities, evaluates competing legal arguments or materially influences the factual analysis, transparency becomes considerably more important. The appropriate framework would probably involve a combination of judicial guidance, professional obligations and procedural rights, rather than an indiscriminate requirement to disclose every technological interaction.
Justice in the age of artificial intelligence
The emergence of artificial intelligence presents the judiciary with an opportunity that is simultaneously practical, intellectual and constitutional. Practical, because courts can potentially become faster, more accessible and less expensive. Intellectual, because judges may acquire analytical instruments of unprecedented sophistication. Constitutional, because the introduction of machine-generated reasoning into judicial decision-making raises fundamental questions about accountability, legitimacy and the nature of public authority.
The British and American experiences suggest that the judiciary is beginning to understand these distinctions. The early controversies involving fabricated legal authorities have demonstrated the dangers of technological credulity. More recent institutional guidance reflects a growing recognition that artificial intelligence must be incorporated into judicial practice through carefully designed systems of supervision and accountability.
Yet the most interesting developments may still lie ahead. As artificial intelligence becomes more capable, the distinction between administrative assistance and substantive reasoning will become increasingly difficult to maintain. A system that summarises evidence may also identify which evidence is decisive. A system that researches legal authorities may also propose how conflicting precedents should be reconciled. A system that drafts preliminary judgments may eventually produce reasoning more sophisticated than that of many human judges.
At that point the judiciary will face a profound institutional choice. It can treat artificial intelligence as a sophisticated servant, whose work must always be subordinated to independent human judgment. Alternatively it can gradually permit the technology to become an increasingly influential participant in the judicial process, while maintaining the formal fiction that human judges remain entirely in control.
The second possibility may emerge almost imperceptibly, through accumulated administrative convenience rather than deliberate constitutional reform. This is why judicial education, technological transparency and independent scrutiny are so important. Judges must understand not only what artificial intelligence can do, but also the ways in which it can subtly distort the reasoning of those who rely upon it.
There is a final irony in all this. The judiciary has spent centuries developing elaborate principles governing the admissibility of evidence, the reliability of witnesses, the interpretation of documents and the evaluation of expert opinion. It now finds itself confronted with a new category of intellectual assistant that may be exceptionally knowledgeable, extraordinarily persuasive and occasionally completely wrong.
Perhaps judges are better equipped than most professions to confront this problem. Their professional existence is devoted to distinguishing plausible assertions from established facts, persuasive arguments from valid legal propositions, and confident testimony from reliable evidence. Artificial intelligence will undoubtedly transform the administration of justice. It may eventually improve the quality of judicial reasoning in ways that we can scarcely imagine today.
But the essential judicial virtue will remain what it has always been: the capacity to exercise independent judgment in the face of competing claims to authority. The machine may know more law than the judge. It may remember more precedents, read more documents and produce more elegant prose. It may even, on occasion, arrive at a better answer.
Nevertheless, when the court pronounces judgment, the responsibility must remain with someone who can be held accountable for the exercise of judicial power. For the foreseeable future, that someone should be a human being. And if artificial intelligence eventually becomes sufficiently sophisticated to demand a seat upon the judicial bench, we may at least insist that it first learns the elementary professional courtesy of not inventing its own precedents.
