Can a Judge Use AI to Help Decide a Criminal Sentence? What U.S. Law Says About AI in Court

Imagine standing in a U.S. courtroom after being convicted of a crime. The judge is about to decide how many years you may spend in prison.

Now imagine learning that an artificial intelligence system helped analyze information about you before the judge imposed the sentence.

That immediately raises an uncomfortable question:

Can a judge legally use AI to help decide a criminal sentence?

The short answer is more complicated than a simple yes or no.

There is no single federal statute that says, “Judges may use AI to determine criminal sentences.” At the same time, the U.S. legal system already uses data-driven tools and other forms of technology in criminal justice. The real legal issue is whether an AI system is merely assisting the judicial process or whether it is effectively making a decision that the law requires a human judge to make.

That distinction matters enormously.

Federal courts are already developing policies for responsible AI use. The federal judiciary has specifically cautioned against delegating core judicial functions—including decision-making and case adjudication—to AI. It has also emphasized that judges and judicial personnel remain responsible for verifying AI-generated information.

So, what does that mean for defendants?

What Happens Before a Federal Judge Imposes a Sentence?

In a federal criminal case, sentencing is not supposed to be based on a computer-generated number appearing out of nowhere.

Federal law provides a structured sentencing process.

Under Federal Rule of Criminal Procedure 32, a presentence investigation and report are generally required before sentencing unless an exception applies. The report can contain information about the defendant, the offense, applicable sentencing guidelines, criminal history, and other matters relevant to sentencing.

Federal law also authorizes presentence investigations under 18 U.S.C. § 3552. A U.S. probation officer conducts the required investigation and reports the results to the court.

This is important because it shows that federal sentencing already involves the collection and evaluation of substantial information.

AI could potentially be used as a tool for organizing, analyzing, or locating information.

But that does not automatically mean that an AI system can decide the sentence.

AI Assistance Is Not the Same as an AI Judge

There is a major difference between these two situations.

In the first situation, a judge uses an AI-assisted tool to organize information, identify inconsistencies, summarize large documents, or perform another administrative or analytical task. The judge independently reviews the information and makes the sentencing decision.

In the second situation, an algorithm produces a recommendation such as:

“This defendant has a high probability of reoffending and should receive a longer sentence.”

If the judge simply accepts that recommendation without independently evaluating the underlying information, the legal concerns become much more serious.

The federal judiciary's current AI guidance reflects this distinction. Its interim guidance allows experimentation with AI tools but cautions against delegating core judicial functions, including decision-making and adjudication, to AI. It also says AI-generated output should be independently reviewed and verified.

In other words, AI may assist a judge, but that does not make AI the judge.

The Constitutional Problem: Due Process

The most important legal issue may be due process.

The Fifth Amendment protects individuals from being deprived of life, liberty, or property without due process of law. In state proceedings, similar protections arise under the Fourteenth Amendment.

A criminal sentence can take away a person's liberty for years.

That makes accuracy, fairness, and meaningful judicial review especially important.

Suppose an AI system evaluates a defendant using historical criminal justice data. The system contains an error. Or its training data is incomplete. Or the algorithm treats certain characteristics as indicators of future criminal behavior.

What happens if the judge relies on that result?

The defendant may reasonably ask:

How can I challenge an AI-generated conclusion if I cannot see how the system reached it?

That question is not theoretical.

The COMPAS Case Shows Why This Matters

One of the most important cases in understanding algorithmic sentencing is State v. Loomis, decided by the Wisconsin Supreme Court in 2016.

Eric Loomis challenged the use of a COMPAS risk assessment during sentencing. COMPAS was designed to assess risks and needs associated with offenders. The sentencing court considered the assessment when imposing Loomis's sentence.

Loomis argued, among other things, that relying on the proprietary assessment raised due process concerns because he could not fully examine the system's methodology.

The Wisconsin Supreme Court did not establish a blanket rule that algorithmic risk assessments could never be considered.

Instead, it permitted limited consideration of COMPAS while emphasizing significant cautions and limitations surrounding the tool. The court also noted that COMPAS had not originally been developed for sentencing purposes.

The U.S. Supreme Court later declined to review Loomis's petition. The Supreme Court docket shows that the petition for certiorari was denied in 2017.

That means Loomis is not a U.S. Supreme Court ruling establishing a nationwide constitutional rule for AI sentencing.

That distinction is extremely important.

Why a Secret Algorithm Can Create a Legal Problem

Imagine a defendant receives a high-risk score.

The defense attorney asks:

“Why did the system give my client this score?”

But the company operating the software responds:

“We cannot reveal the algorithm because it is proprietary.”

Now another question appears:

How can the defendant meaningfully challenge the result?

This is where transparency becomes a serious legal issue.

The Federal Judicial Center has discussed the reliability and admissibility problems surrounding AI evidence. Its materials specifically recognize that some AI systems may be difficult to test because information necessary to evaluate their reliability is withheld as proprietary or trade-secret information. They also identify the potentially serious consequences of using unreliable machine-learning systems in criminal cases, including sentencing.

A computer-generated result is not automatically reliable simply because it comes from sophisticated technology.

A complicated algorithm can still produce a wrong answer.

Can AI Be Biased?

Yes, and this is another major concern.

AI systems learn from data.

If historical data contains errors, incomplete information, or patterns reflecting existing inequalities, an algorithm can reproduce or amplify those problems.

That does not necessarily mean every AI system is biased. It means courts must consider whether the particular tool is sufficiently reliable for the purpose for which it is being used.

The problem becomes particularly serious when an algorithm is being used to predict future criminal behavior.

A person's sentence is supposed to respond to the individual's circumstances—not simply to the statistical characteristics of a group into which a computer places that person.

That concern was central to the debate surrounding COMPAS.

Does Federal Law Require a Judge to Ignore AI?

Not necessarily.

The more accurate answer is that federal sentencing law gives judges substantial discretion over information considered at sentencing, but that discretion operates within constitutional and statutory boundaries.

Federal sentencing rules recognize that sentencing involves information beyond the evidence introduced at trial. The Federal Rules of Evidence generally do not apply to sentencing proceedings in the same way they apply during trial, and the Supreme Court has recognized broad judicial discretion regarding sources of sentencing information.

But broad discretion does not mean unlimited discretion.

A judge cannot simply say:

“An algorithm told me to impose 10 years, so I will impose 10 years.”

The sentencing process still has to comply with applicable statutes, constitutional protections, procedural requirements, and the judge's independent responsibility.

What If the AI Gives the Judge Wrong Information?

This is one of the most important practical questions.

Suppose an AI-generated report incorrectly states that a defendant has three prior convictions when the defendant actually has one.

Or it incorrectly summarizes a psychological evaluation.

Or it invents a factual claim.

Or it misinterprets a sentencing guideline.

If the judge relies on that information, the defendant may have grounds to challenge the sentencing process depending on the facts, the jurisdiction, the nature of the error, and whether the error affected the sentence.

This is why the federal judiciary has emphasized independent verification of AI output.

The judiciary's current guidance specifically recommends that users review and independently verify AI-generated content and reminds judicial users that they remain accountable for work performed with AI assistance.

That principle is simple:

A judge cannot transfer judicial responsibility to a machine.

What About the Court of Appeals?

A defendant who believes an AI-assisted sentencing process resulted in a legally improper sentence may have appellate remedies, depending on the circumstances.

Federal criminal defendants generally have rights relating to appellate review, although the availability and scope of review can depend on the procedural history, plea agreement, sentencing issue, and applicable law.

An appellate court could potentially examine whether the district court committed a legal error, relied on improper information, failed to follow required procedures, or abused its discretion.

But an appeal is not automatically successful merely because AI was involved.

The key question would likely be what the judge actually did with the AI-generated information and whether that use violated applicable law.

That distinction should not be overlooked.

What If the Defendant Never Knows AI Was Used?

Transparency creates another difficult issue.

Should a defendant be told when AI is used in connection with sentencing?

There is not one universal federal rule saying that every use of every AI system must automatically be disclosed to every defendant.

However, the federal judiciary has recognized disclosure and transparency as important considerations in its AI guidance. The guidance recommends considering whether AI use should be disclosed and to whom, while also taking account of local rules, ethical obligations, confidentiality, and the integrity of the judicial process.

This means disclosure requirements may depend on the nature of the AI use and the applicable court rules or policies.

For defendants, the practical lesson is straightforward:

If an AI-generated assessment materially influenced a sentencing decision, the circumstances surrounding that use may become legally significant.

Could AI Ever Recommend a Sentence?

It is possible to imagine AI systems that analyze sentencing guidelines, criminal history, statutory ranges, and other information and then produce a suggested sentencing range.

But there is a crucial difference between calculating information and making the judicial decision.

For example, a computer could potentially help identify an applicable guideline range.

A judge could then independently review the calculation, hear arguments from the prosecution and defense, consider the defendant's circumstances, evaluate the applicable law, and impose the sentence.

That is very different from allowing an algorithm to determine the defendant's punishment.

The federal judiciary's current approach strongly favors human responsibility and warns against delegating core judicial functions to AI.

What Are a Defendant's Legal Rights?

A defendant facing sentencing should pay attention to several issues if an algorithmic or AI-based assessment appears to have been used.

First, the defendant should know what information was considered.

Second, the defendant should have an opportunity, where the applicable rules permit, to challenge materially inaccurate information.

Third, counsel should determine whether the AI tool has limitations, known reliability problems, or restrictions on access to its methodology.

Fourth, the defense should examine whether the sentencing court independently evaluated the information instead of simply accepting an algorithmic recommendation.

Finally, the defense should consider whether the use of the technology complied with applicable federal or state law, local court rules, and constitutional requirements.

These questions can become especially important when the AI system affects the length or conditions of incarceration.

What About State Courts?

The situation can be very different from one state to another.

Criminal sentencing is governed by a combination of federal and state law. Some states have developed their own rules, policies, or judicial decisions concerning algorithmic risk assessments.

That is why a person should not assume that a rule from Wisconsin automatically applies in California, Texas, New York, Florida, or another state.

State law matters.

The same is true for federal courts. Federal Courts operate under federal statutes, federal rules, sentencing guidelines, constitutional requirements, and local procedures.

A court's local AI policy may also affect how technology can be used.

For example, federal district courts in 2026 continue to publish individual standing orders concerning AI use, showing that courts are actively developing procedures for the technology.

AI in Court Is Growing—But Human Accountability Still Matters

The legal system is not waiting for AI technology to become perfect before dealing with it.

The federal judiciary established an AI Task Force and has been developing policies for responsible AI use. The judiciary has recognized potential benefits while also identifying concerns about judicial independence, sensitive data, security, and the integrity of judicial opinions.

At the same time, federal courts are developing practical rules concerning AI use by lawyers and parties.

This tells us something important about the direction of U.S. law:

AI is entering the courtroom, but the law is still working out the boundaries.

That makes careful human oversight especially important.

A Simple Example

Consider two defendants who receive identical sentences.

In Case A, the judge reviews the presentence report, hears both sides, considers the applicable sentencing law, checks the defendant's history, and independently reaches a sentencing decision. An AI tool was used only to organize documents.

In Case B, an AI system produces a “high-risk” score. The defendant cannot examine the system's methodology. The judge relies heavily on the score and imposes a longer sentence because the computer classified the defendant as high risk.

The fact that AI was involved in both cases does not make the legal situations identical.

The purpose, reliability, transparency, and actual influence of the AI matter.

That is likely to be one of the central legal questions as courts continue confronting artificial intelligence.

Conclusion

So, can a judge use AI to help decide a criminal sentence?

A judge may potentially use AI as an assistance tool, but that does not mean an AI system can lawfully replace the judge's independent judicial judgment.

Current federal judiciary guidance emphasizes human responsibility, independent verification, and caution against delegating core judicial functions to AI. Federal sentencing law already gives judges significant discretion concerning sentencing information, but that discretion exists within constitutional and procedural limits.

The experience with algorithmic risk assessments such as COMPAS also demonstrates why transparency, reliability, individualized consideration, and the ability to challenge important information can become serious legal issues.

For defendants, the most important question may therefore not be:

“Was AI used?”

It may be:

“How was AI used, what information did it produce, did the judge independently evaluate it, and did its use affect my legal rights?”

As AI becomes more common in U.S. courts, those questions are likely to become increasingly important in U.S. law, constitutional law, Federal Courts, Court of Appeals review, court procedures, and Legal Rights.

Legal Disclaimer

This article is for general educational and informational purposes only. It is not legal advice and does not create an attorney-client relationship. Criminal sentencing rules vary by jurisdiction and depend on the specific facts of each case. Anyone facing criminal charges or sentencing should consult a qualified attorney licensed in the relevant jurisdiction.