AI for witness prep question banks

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-legal-AI-and-witness-prep-question-bank-adults

1. An attorney wants to use AI to prepare a witness for deposition. What is the PRIMARY value AI provides in this scenario?

   1. Drafting the witness's expected testimony
   2. Generating new legal arguments for the case
   3. Transcribing the deposition audio in real time
   4. Producing cross-examination questions based on the witness's own prior statements

2. A law firm clusters AI-generated cross-examination questions by 'attack vector.' What does this classification represent?

   1. The geographic location where each question would be most effective
   2. The chronological order in which questions should be asked
   3. The number of supporting documents needed to ask each question
   4. The type of vulnerability each question targets in the witness's account

3. An AI system flags three questions as 'most likely to draw a damaging answer.' What should the attorney do with this information?

   1. Discuss the substantive truth behind these sensitive areas
   2. Submit these questions to the judge as preload
   3. Replace the witness entirely with a different witness
   4. Have the witness memorize a scripted response to these questions

4. Which of the following is an accurate limitation of using AI to generate witness preparation question banks?

   1. AI can replace the witness's own attorney in the preparation room
   2. AI can reliably predict exactly which questions opposing counsel will ask
   3. AI can identify weak spots in the witness's recollection based on their prior statements
   4. AI can coach the witness on appropriate demeanor and body language

5. A witness preparing with an AI-generated question bank should approach the practice sessions with what fundamental principle?

   1. Speak as quickly as possible to dominate the examination
   2. Answer truthfully and identify weak areas in their knowledge
   3. Memorize the exact wording of ideal responses
   4. Never admit uncertainty under any circumstances

6. An AI question bank is generated from a witness's deposition outline and prior statements. What is the intended purpose of this analysis?

   1. To generate questions the witness has never been asked before
   2. To identify what opposing counsel is likely to ask based on the witness's own record
   3. To create fictional scenarios that might occur at trial
   4. To determine what the witness should say to win the case

7. A junior associate asks why the firm uses AI to cluster cross-examination questions by 'bias' and 'contradiction.' What is the best explanation?

   1. This is required by state bar ethics rules
   2. This clustering satisfies court filing requirements
   3. Clustering reduces the total number of questions the witness must answer
   4. It helps organize questions by the type of attack they represent

8. Which statement accurately reflects what AI can accomplish in witness preparation versus what it cannot?

   1. AI can both coach demeanor and predict opposing counsel's exact strategy
   2. AI can generate relevant questions but cannot replace the witness's attorney
   3. AI can read the witness's mind and both prepare and answer questions
   4. AI can both determine case theory and present it to the jury

9. When using AI-generated cross-examination questions, a witness should focus primarily on:

   1. Identifying which questions have the most clever wording
   2. Understanding their own prior statements and being prepared to answer truthfully
   3. Finding ways to avoid answering certain questions
   4. Memorizing the sequence of questions for rapid delivery

10. An attorney tells a witness to use the AI question bank to 'identify weak spots.' What does this process involve?

    1. Deleting questions about weak areas from the question bank
    2. Recognizing areas where the witness's recollection may be unclear or contradictory
    3. Finding questions the witness can answer without preparation
    4. Hiring a second witness to cover the weak areas

11. What is 'case theory' and how does it relate to witness preparation?

    1. The AI algorithm used to generate questions
    2. A document the witness must sign before preparation
    3. The exact questions that will be asked at trial
    4. The legal strategy that organizes facts into a winning narrative

12. A witness tells their attorney they want to practice until they can give perfect answers to the AI-generated questions. What is the ethical concern?

    1. There is no ethical concern—this is proper preparation
    2. AI-generated questions cannot be used in actual depositions
    3. Perfect answers might become rehearsed scripts rather than truthful responses
    4. The witness is wasting billable attorney time

13. The lesson notes that AI cannot 'read the actual opposing counsel's mind.' What does this limitation mean in practice?

    1. AI systems cannot access any prior court records
    2. Witnesses must always answer questions on the first attempt
    3. AI can only suggest probable questions, not guarantee what will be asked
    4. Opposing counsel is not legally required to use logic

14. A law firm considers using an AI system to replace human attorneys in witness preparation sessions. Based on the lesson, what is the primary objection?

    1. AI systems cost more than human attorneys
    2. Witnesses refuse to work with AI
    3. AI systems are not certified to practice law
    4. AI cannot provide the judgment and interaction needed for effective preparation

15. The lesson mentions that AI can 'flag the 3 questions most likely to draw a damaging answer.' This feature helps attorneys by:

    1. Ensuring these questions are never asked at trial
    2. Eliminating the need for any other deposition preparation
    3. Prioritizing which areas of testimony need the most preparation attention
    4. Automatically redact damaging information from case documents