AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists

End-of-lesson check

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

1. What is the core idea behind "AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists"?

   1. Keyword search misses semantically related documents. AI-assisted concept searching catches documents traditional approaches miss — when paired with traditional methods.
   2. public spaces
   3. DPA negotiation
   4. governance documents

2. Which term best describes a foundational idea in "AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists"?

   1. search strategy
   2. eDiscovery
   3. concept search
   4. semantic search

3. A learner studying AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists would need to understand which concept?

   1. eDiscovery
   2. concept search
   3. search strategy
   4. semantic search

4. Which of these is directly relevant to AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

   1. eDiscovery
   2. search strategy
   3. semantic search
   4. concept search

5. Which of the following is a key point about AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

   1. Layer keyword search (precision) with concept/semantic search (recall) for comprehensive coverage
   2. Document the search methodology before deployment for defensibility
   3. Sample-and-validate — calculate precision and recall on a known test set
   4. Maintain reviewer feedback loop where missed-document examples improve future searches

6. Which of these does NOT belong in a discussion of AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

   1. Layer keyword search (precision) with concept/semantic search (recall) for comprehensive coverage
   2. public spaces
   3. Document the search methodology before deployment for defensibility
   4. Sample-and-validate — calculate precision and recall on a known test set

7. Which statement is accurate regarding AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

   1. Substitute for the meet-and-confer disclosure process
   2. Eliminate the cost of human review for high-stakes documents
   3. Trust AI to find privileged documents (use specialized privilege workflow)
   4. public spaces

8. What is the key insight about "Layered search strategy" in the context of AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

   1. public spaces
   2. DPA negotiation
   3. governance documents
   4. Design a layered search strategy for [matter]. Cover: (1) keyword set with rationale per term, (2) concept/semantic sear…

9. What is the key insight about "Concept search produces false positives" in the context of AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

   1. Semantic search captures more, but also returns more irrelevant documents.
   2. public spaces
   3. DPA negotiation
   4. governance documents

10. Which statement accurately describes an aspect of AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

    1. public spaces
    2. Pure keyword search misses concept-related documents; AI-assisted concept search catches them, but defensibility requires layered methodolog…
    3. DPA negotiation
    4. governance documents

11. Which best describes the scope of "AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists"?

    1. It is unrelated to legal workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Keyword search misses semantically related documents. AI-assisted concept searching catches document
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

    1. public spaces
    2. DPA negotiation
    3. governance documents
    4. What AI does well here

13. Which section heading best belongs in a lesson about AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

    1. What AI cannot do
    2. public spaces
    3. DPA negotiation
    4. governance documents

14. Which of the following is a concept covered in AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

    1. search strategy
    2. eDiscovery
    3. concept search
    4. semantic search

15. Which of the following is a concept covered in AI-Assisted eDiscovery Search Strategy: Beyond Keyword Lists?

    1. eDiscovery
    2. concept search
    3. search strategy
    4. semantic search