Guide-linked quiz · Hard Level
Hallucination Rates in Legal AI Tools Quiz
Tests how the Stanford studies defined and measured legal AI hallucinations, what misgrounded answers are, and why retrieval-augmented generation still fails.
Question 1 of 8
How did the Stanford "Hallucination-Free?" study define a hallucination?
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- How did the Stanford "Hallucination-Free?" study define a hallucination?
- Any answer longer than the source document
- An answer that is either incorrect or misgrounded
- Only a citation to a case that does not exist
- Any answer the tool took more than a minute to produce
- In the Stanford study's terms, what is a 'misgrounded' answer?
- An answer that refuses to respond
- An answer written in the wrong language
- An answer with no citations at all
- An answer that cites a real source that does not support its claim
- Which tool performed best in the 2024 Stanford test but still hallucinated on more than 17 percent of queries?
- Lexis+ AI
- Westlaw AI-Assisted Research
- Ask Practical Law AI
- GPT-4 used as a comparison
- What hallucination range did "Large Legal Fictions" find for general-purpose chatbots on verifiable federal court questions?
- 1 to 3 percent
- 17 to 33 percent
- 69 to 88 percent
- 95 to 100 percent
- Why can a retrieval step find the wrong authority even when the database contains the right one?
- Legal databases are encrypted and cannot be searched
- Retrieval only works for statutes, not cases
- Retrieval ranks documents alphabetically
- Retrieval matches similar wording or meaning, which is not the same as legal relevance
- What tendency did the research find when questions contained a false premise?
- Models tended to accept the premise and answer as if it were true
- Models always corrected the premise
- Models refused every such question
- Models replied only with the text of the relevant statute
- Which mitigation specifically helps flag a cited case that was later reversed or overruled?
- Raising the model's temperature setting
- Making answers shorter
- Translating the query into another language
- Connecting a citator such as KeyCite or Shepard's
- What marketing claim did the Stanford study's title directly question?
- That legal AI tools were cheaper than paralegals
- That some tools were 'hallucination-free'
- That legal AI could pass the bar exam
- That AI tools were approved by courts
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