Guide-linked quiz · Medium Level
Lexis+ AI vs Westlaw AI Quiz
Tests how Lexis+ AI and Westlaw ground answers with retrieval-augmented generation, what misgrounding is, and how to build your own test set.
Question 1 of 8
What technique do Lexis+ AI and Westlaw's AI research features both use to ground their answers?
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- What technique do Lexis+ AI and Westlaw's AI research features both use to ground their answers?
- Answering only from what the language model memorized during training
- Retrieval-augmented generation that searches the vendor's own legal collection before the model writes an answer
- Copying answers from public web search results
- Having human editors write each answer in real time
- In legal research AI, what is misgrounding?
- Citing a real case for a point it does not actually support
- Citing a case that does not exist
- Failing to return any answer
- Returning results from the wrong database vendor
- What did the 2024 Stanford study find about Lexis+ AI and Westlaw's AI-Assisted Research?
- Neither tool ever produced an incorrect answer
- Only Lexis+ AI produced errors
- Both gave incorrect or misgrounded answers on a meaningful share of questions, with Westlaw's tool erring more often in that test
- The tools performed identically on every question
- Which editorial assets does the guide associate with Westlaw rather than Lexis?
- Shepard's and Lexis Practical Guidance
- Protégé and Shepard's
- Lexis headnotes and Protégé
- The West Key Number System and KeyCite
- Why does the guide recommend including false-premise questions in your test set?
- Because they make the test shorter
- Because a model may accept the premise and answer as if it were true
- Because false-premise questions are required by bar rules
- Because they only work on one of the two platforms
- If the retrieval stage misses the controlling case, what does the guide say can happen?
- The system automatically refuses to answer
- The citator flags the missing case in red
- The answer can be fluent and wrong
- The model searches the open web instead
- Which company did Thomson Reuters acquire in 2023, bringing the CoCounsel assistant into its products?
- Casetext
- Lex Machina
- Clarivate
- Bloomberg Law
- Why do multi-step, agent-style research features make checking more important rather than less?
- Because agents cannot cite sources
- Because they only work on federal law
- Because they remove citator flags from results
- Because longer outputs contain more claims to verify
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