Personal injury firms keep finding new ways to put legal AI to work, and the voir dire process is one of the clearest examples. Voir dire is the stage of a jury trial where the judge and attorneys question prospective jurors to find out who can decide the case fairly, then remove those who can’t through challenges.
In a personal injury trial, voir dire is also the first time jurors hear the plaintiff’s story, which makes it one of the few parts of a trial a legal team can fully prepare in advance. An AI platform that has read the full case record can draft questions built around the case’s liability theory, medical issues, and likely defense, in place of a generic question bank. This guide walks through each step of voir dire, where preparation breaks down, and how AI fits into personal injury trial preparation while the judgment calls stay with the trial team.
Voir dire is the questioning of prospective jurors before a trial to decide who sits on the jury. The term comes from an old French phrase meaning “to speak the truth,” and that’s the goal: getting prospective jurors to share honestly the experiences and beliefs that could affect how they judge the case.
The process screens out bias. It doesn’t pick a jury that favors one side, but each side uses it to learn which jurors may hold views that work against its case, and to remove as many of them as the rules allow.
Who asks the questions depends on the court. In federal civil cases, Federal Rule of Civil Procedure 47(a) lets the judge question jurors directly or allow the attorneys to do it. Many state courts give attorneys a larger role. California’s Code of Civil Procedure section 222.5, for example, gives counsel in civil cases the right to examine prospective jurors.
Voir dire follows the same basic sequence in most courts, though the details vary by jurisdiction and judge.
Get a real-world look at how PI firms are putting AI to work across the full case lifecycle, including intake, medical management, litigation, and settlement strategy.
Watch NowMany experienced trial lawyers treat voir dire and the opening statement as where a case is won or lost, and personal injury cases show why.
Jurors walk in with views about lawsuits, insurance, and money damages. Some juros believe injury claims are exaggerated. Others are uneasy awarding money for pain and suffering. And then some will have strong feelings about the kind of defendant in the case, such as a property owner, an employer, or a trucking company. Voir dire is the one chance to learn those views before they decide the case.
PI cases also turn on evidence jurors may find hard to follow: medical terminology, competing experts, and causation proven with circumstantial evidence when the physical evidence is gone. A juror who can’t accept circumstantial proof, or who distrusts a particular type of medical testimony, needs to be identified during jury selection, not discovered during deliberations.
The questioning also introduces the case. Jurors form first impressions of the plaintiff, the attorney, and the theory of the case before opening statements begin. Credibility earned in voir dire carries into the rest of the trial.
Five problems make good voir dire hard to prepare:
Legal AI helps most before the panel is called, by turning the case record into preparation the trial team can review and refine. It works in five places:
| Prep task | Manual approach | AI-assisted approach |
| Finding issues to question jurors about | Attorneys reread the record and rely on memory | AI reviews the full record and lists the issues with citations |
| Drafting questions | Start from a question bank or last trial’s list | Start from a case-specific draft the team edits |
| Medical topics | Attorneys work through the terminology themselves | AI drafts plain-language versions for review |
| Defense themes | Anticipated from experience | AI surfaces likely themes from the record and expert reports |
| Record support | Checked by hand, if at all | Each theme tied to the evidence that supports it |
The team keeps every decision. AI gives the trial team a second perspective on the record, which is most useful when it adds questions the team hadn’t considered and confirms the ones it had.
These examples show the kind of open-ended, case-specific questions AI can help draft. Adapt them to the case, the court’s rules, and your own voice.
Attitudes toward lawsuits
Medical evidence
Liability and circumstantial evidence
Damages
Whether you can ask a given question depends on the court. Some judges limit questions about specific dollar amounts or treat certain questions as attempts to argue the case. Check the local rules and the judge’s practices before trial.
AI prepares the material. Five parts of jury selection stay with the attorney:
Verify everything AI drafts before it reaches the courtroom. The guide to the limitations of AI legal drafting explains why output tied to the record is the only output worth trusting.
Voir dire sets expectations. The rest of the trial has to meet them. Some trial teams now upload each day’s certified transcript to their AI platform, tell it to treat only the trial record as evidence, and ask whether they’ve met their burden on each issue. When the answer cites the exact testimony, the team can see where the case stands on liability and causation, and decide on evidence whether to keep trying the case or accept an offer.
That check works best when the platform has had the full case record from the start: the medical chronology, the discovery, and the expert reports. The same record that shaped the voir dire questions becomes the baseline for every daily review.
EvenUp works from the full case record, so trial preparation starts from the same evidence the case was built on.
See more on the trial stage.
The best voir dire questions come from knowing the case better than anyone else in the courtroom: every medical finding, every gap the defense will press, every fact the jury will need to accept. AI makes that depth of preparation possible on every trial, including the ones that arrive with a short runway.
The attorney still chooses the jury. AI makes sure the questions that shape that choice come from the record.
Schedule a call today to see how EvenUp’s AI tools automate repetitive tasks, streamline custom drafting, and empower staff to focus on case strategy and client engagement.
Schedule CallVoir dire is the questioning of prospective jurors before trial. The judge and attorneys ask about backgrounds and beliefs, then remove jurors through challenges for cause and peremptory challenges until the jury is seated.
It depends on the court. In federal civil cases, the judge may question jurors directly or let the attorneys do it. Many state courts, including California’s, give attorneys the right to question prospective jurors in civil cases.
A challenge for cause removes a juror who shows bias, requires the judge’s approval, and has no numerical limit. A peremptory challenge removes a juror without a stated reason, is limited in number, and can’t be based on race or sex.
It varies with the court, the size of the panel, and the complexity of the case. Simple cases can seat a jury in a few hours, while complex cases with written questionnaires can take days.
Yes, with preparation. AI can draft case-specific questions from the record, anticipate defense themes, translate medical terms, and organize questionnaire answers. The attorney still reads the jurors, decides every strike, and follows the rules on discriminatory challenges and juror contact.