AI for pro bono intake screening

End-of-lesson check

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

1. What is the primary function of AI in pro bono intake screening?

   1. To make the final decision on whether to accept a case
   2. To verify financial eligibility documents
   3. To conduct interviews with potential clients
   4. To review incoming inquiries and categorize them according to firm criteria

2. A legal aid organization implements AI to screen eviction defense inquiries. The AI flags a case with an imminent court date. What has the AI accomplished?

   1. It has decided to accept the case
   2. It has identified an urgency marker requiring human attention
   3. It has verified the client's income documentation
   4. It has conducted the intake interview

3. Which of the following tasks can AI reliably perform in pro bono intake?

   1. Replacing the intake interview entirely
   2. Making the representation decision
   3. Verifying the authenticity of financial documents
   4. Matching intake information against firm eligibility criteria

4. An AI system recommends declining a pro bono inquiry. Why must a human review this recommendation before acting?

   1. The AI needs permission before declining cases
   2. Human review is required by state bar rules
   3. AI recommendations are always correct and just need to be processed
   4. A miscoded decline could result in someone losing their home or custody of their children

5. A potential client's inquiry falls outside the firm's pro bono scope. What should the AI system suggest?

   1. Decline without explanation since the firm cannot help
   2. Accept the case anyway since the client needs help
   3. Schedule the client for a general legal consultation
   4. Refer the client to another organization that handles those matters

6. What three criteria does the lesson identify that AI matches against firm requirements?

   1. Location, language, and documentation status
   2. Matter type, eligibility, and capacity
   3. Urgency, complexity, and client cooperation
   4. Attorney availability, budget, and timeline

7. Why can't AI replace the intake interview in pro bono screening?

   1. The intake interview requires human judgment, empathy, and the ability to probe for additional information that AI cannot replicate
   2. Intake interviews are not part of the pro bono process
   3. Interviews take too much time for AI to conduct
   4. AI has already replaced most intake interviews successfully

8. Which of the following is an example of an urgency marker that AI should flag during triage?

   1. The client prefers afternoon appointments
   2. The client owns a small business
   3. The matter involves a contract dispute from two years ago
   4. A court hearing is scheduled for next week

9. What happens if AI triage becomes the standard workflow without any human oversight?

   1. There is a risk that clients with urgent needs or valid claims could be incorrectly declined
   2. The process becomes fully automated and error-free
   3. Attorneys will have more time for billable work
   4. Cases are processed faster with no downside

10. What type of decision in pro bono intake must always be made by a human attorney?

    1. Whether to refer a client elsewhere
    2. Whether to flag a case as urgent
    3. Whether to accept or decline representation
    4. Which intake questions to ask

11. In the scenario described in the lesson, what specific task are attorneys asked to perform alongside AI screening?

    1. Review 50 intake forms manually one by one
    2. Score intake forms against criteria and flag urgency while drafting referral language
    3. Verify income documents for each inquiry
    4. Conduct phone interviews with all 50 applicants

12. What is the relationship between pro bono intake and triage in legal services?

    1. Triage is the process of sorting incoming inquiries to match client needs with firm capacity and criteria
    2. Triage only applies to paying clients
    3. Triage replaces the need for attorneys
    4. Triage is unnecessary when intake is automated

13. A pro bono inquiry involves a client facing eviction next month. How would an AI system handle this?

    1. Ignore it as routine
    2. Delete the inquiry to save storage space
    3. Flag it as urgent and prioritize it for human review
    4. Automatically accept the case

14. Why might a law firm use AI for pro bono intake instead of handling all inquiries manually?

    1. AI can handle high volumes of inquiries that would overwhelm manual review
    2. AI is cheaper than hiring more staff
    3. AI is required by ethics rules
    4. Manual review is illegal for pro bono

15. What should happen before an organization fully automates its pro bono intake triage?

    1. Attorneys should review every single case the AI processes
    2. The AI should be trained on paid cases first
    3. Nothing—the AI is ready to use immediately
    4. The AI should be tested thoroughly with manual sample-checking of its recommendations