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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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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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