Concern 101 · Working draft · editorial review in progress
Legal hallucination
Legal hallucination is an AI-generated legal statement or citation that is invented, materially wrong, or unsupported by the relevant authority.
Understanding the concern
A legal answer may name a nonexistent case, misstate a real judgment, or apply a rule from the wrong place or time. The formal style of legal writing can make the error difficult for a nonlawyer to spot.
Research has documented legal errors in tested language models, but the findings are not a current score for every legal product. Important legal work needs authoritative source checking and judgment about the actual facts. A citation must exist and support the proposition for which it is used.
An example
A draft refers to a case with a plausible name, but the court record contains no such decision.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Model
- The learned part of an AI system. It uses patterns found during training to produce an answer or prediction.
- Hallucination
- An AI output that sounds plausible but is false or unsupported, such as an invented source.
Evidence and its limits
The study evaluates legal hallucinations in specified models and tasks; it is not legal advice or a universal product ranking.
Dahl, Magesh, Suzgun and Ho · 2024 · Research study
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models ↗ (opens in a new tab)Tests verifiable legal questions and false premises; does not establish error rates for all current legal tools.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Does the cited authority exist, apply here, and actually say what the draft claims?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Humility
Humility means recognizing the limits of our knowledge and being willing to learn from others. Expertise can be valuable without answering every question.
State where evidence is weak, invite criticism, and listen to people with different experience. Leave room to revise a decision when new information appears.
Ask together: What might we be missing, and who could help us see it?
Prudence
Prudence means using careful judgment before and during action. It balances worthwhile opportunities with the need to avoid harm that could have been anticipated.
Start with a limited trial, set stopping points, and prefer choices that can be undone when uncertainty is high. Review what happens rather than assuming the original plan remains sound.
Ask together: What is a careful next step, and when should we stop or change course?
Truthfulness
Truthfulness means making claims that match the evidence and being clear about what we do not know. It includes correcting mistakes rather than protecting a polished story.
Check sources, label guesses, and distinguish a trial result from a proven benefit. If AI helped produce a claim, someone still needs to take responsibility for checking it.
Ask together: What can we honestly say, and what still needs checking?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
About the register and scoring →More ways to explore
Search for more writing
For more specific or recent material, open a search below or ask for a web summary. AI-generated summaries can contain mistakes; open the original articles to check them.