AI in eDiscovery: Beyond Predictive Coding

End-of-lesson check

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

1. What is the core idea behind "AI in eDiscovery: Beyond Predictive Coding"?

   1. Modern eDiscovery uses AI beyond predictive coding — concept clustering, sentiment, even network analysis.
   2. theft
   3. Ask AI to flag clauses you should never sign
   4. Posting #ad? The FTC has rules — AI helps you follow them.

2. Which term best describes a foundational idea in "AI in eDiscovery: Beyond Predictive Coding"?

   1. predictive coding
   2. eDiscovery
   3. concept clustering
   4. theft

3. A learner studying AI in eDiscovery: Beyond Predictive Coding would need to understand which concept?

   1. eDiscovery
   2. concept clustering
   3. predictive coding
   4. theft

4. Which of these is directly relevant to AI in eDiscovery: Beyond Predictive Coding?

   1. eDiscovery
   2. predictive coding
   3. theft
   4. concept clustering

5. Which of the following is a key point about AI in eDiscovery: Beyond Predictive Coding?

   1. Use AI for concept clustering across documents
   2. Surface sentiment and network patterns
   3. Generate review priority lists
   4. Maintain attorney authority on substantive decisions

6. Which of these does NOT belong in a discussion of AI in eDiscovery: Beyond Predictive Coding?

   1. Surface sentiment and network patterns
   2. theft
   3. Use AI for concept clustering across documents
   4. Generate review priority lists

7. Which statement is accurate regarding AI in eDiscovery: Beyond Predictive Coding?

   1. Make every document set easy
   2. Eliminate the discovery burden
   3. Substitute AI for attorney privilege review
   4. theft

8. What is the key insight about "Modern eDiscovery AI" in the context of AI in eDiscovery: Beyond Predictive Coding?

   1. theft
   2. Ask AI to flag clauses you should never sign
   3. Posting #ad? The FTC has rules — AI helps you follow them.
   4. Design modern eDiscovery AI. Cover: (1) concept clustering, (2) sentiment and network analysis, (3) priority list genera…

9. What is the key warning about "Cite-check everything" in the context of AI in eDiscovery: Beyond Predictive Coding?

   1. AI hallucinations in legal contexts are dangerous — fabricated citations have been filed in actual court proceedings.
   2. theft
   3. Ask AI to flag clauses you should never sign
   4. Posting #ad? The FTC has rules — AI helps you follow them.

10. Which statement accurately describes an aspect of AI in eDiscovery: Beyond Predictive Coding?

    1. theft
    2. Modern eDiscovery extends beyond predictive coding; AI capabilities have expanded.
    3. Ask AI to flag clauses you should never sign
    4. Posting #ad? The FTC has rules — AI helps you follow them.

11. Which best describes the scope of "AI in eDiscovery: Beyond Predictive Coding"?

    1. It is unrelated to legal workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Modern eDiscovery uses AI beyond predictive coding — concept clustering, sentiment, even network ana
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about AI in eDiscovery: Beyond Predictive Coding?

    1. theft
    2. Ask AI to flag clauses you should never sign
    3. Posting #ad? The FTC has rules — AI helps you follow them.
    4. What AI does well here

13. Which section heading best belongs in a lesson about AI in eDiscovery: Beyond Predictive Coding?

    1. What AI cannot do
    2. theft
    3. Ask AI to flag clauses you should never sign
    4. Posting #ad? The FTC has rules — AI helps you follow them.

14. Which of the following is a concept covered in AI in eDiscovery: Beyond Predictive Coding?

    1. predictive coding
    2. eDiscovery
    3. concept clustering
    4. theft

15. Which of the following is a concept covered in AI in eDiscovery: Beyond Predictive Coding?

    1. eDiscovery
    2. concept clustering
    3. predictive coding
    4. theft