Guide-linked quiz · Medium Level

AI Intake Chatbots for Law Firms Quiz

Tests prospective-client conflicts under Rule 1.18, how intake bots avoid giving legal advice, and why conflict searches need fuzzy name matching.

Question 1 of 8

Why should an intake bot collect party names before detailed case facts?

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Answers and explanations appear as you take the quiz.

  1. Why should an intake bot collect party names before detailed case facts?
    • Names are required to set up billing
    • So the firm can run a conflict check before receiving potentially disqualifying information
    • Courts require names in the first message
    • It makes the conversation shorter
  2. Which response is most clearly outside what an intake bot should do?
    • Collecting the date of an accident
    • Booking a consultation
    • Explaining the firm's practice areas
    • Telling a visitor they should reject a settlement offer
  3. According to this guide, how well do disclaimers protect a firm whose bot drifts into giving advice?
    • They help, but conversation design must also steer the bot away from assessing specific situations
    • They fully eliminate the risk
    • They are prohibited by bar rules
    • They matter only for phone intake
  4. Which California law, effective in 2019, requires disclosure of bots in certain commercial interactions?
    • CCPA Section 100
    • Proposition 65
    • SB 1001
    • AB 5
  5. A visitor types that a family member was just arrested. What should a well-designed bot do?
    • Finish the standard questionnaire first
    • Immediately escalate to a human, such as an on-call line
    • Offer general information about bail law
    • End the conversation
  6. When the firm declines a matter that came through the bot, what should it do?
    • Send a clear non-engagement message
    • Ignore the inquiry
    • Keep the chat open indefinitely
    • Forward the inquiry to opposing counsel
  7. Which rule does a bot risk violating if it presents itself as a human lawyer?
    • Model Rule 1.5 on fees
    • Model Rule 3.3 on candor to the tribunal
    • Model Rule 1.8 on business transactions with clients
    • Model Rule 7.1 on misleading communications
  8. Why does the technical design use fuzzy matching for conflict searches?
    • It speeds up the language model
    • It is required by California law
    • Names entered during intake are often spelled inconsistently
    • It removes the need for a practice management system

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