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A Comprehensive Guide to Incorporating Generative AI in Legal Education

This guide provides a structured approach for legal educators looking to integrate generative AI tools into their teaching practice.

AI Policy Options

Instructors can choose from several approaches to AI use in assessments:

  1. Fully Permissive: Allow unrestricted AI use
  2. Segmented Approach: Permit AI use for specific parts of assignments
  3. Limited Use: Allow AI consultation but prohibit direct copying
  4. Documentation Required: Permit AI use with mandatory acknowledgment and citation

Documentation Requirements

When requiring students to document AI use, establish clear guidelines for:

  • Recording prompts and AI outputs
  • Citation formats including tool name, date, and prompt details
  • Submission of complete AI-interaction records

Exam Design Considerations

For creating AI-resistant assessments, consider:

  1. Course-Specific Content:
    • Include questions about specific class discussions
    • Reference distinctive theoretical frameworks
    • Note that students may still input class notes into AI systems
  2. Technical Approaches:
    • Design questions that exceed current AI capabilities
    • Regularly verify assessment effectiveness against new AI developments
    • Consider adjusting grading criteria to emphasize advanced analysis

 

Implementation Guidelines

To successfully integrate AI in assessments:

  1. Establish Clear Policies:
    • Include detailed AI guidelines in course syllabi
    • Specify permitted contexts for AI use
    • Define citation and documentation requirements
    • Address privacy and data security concerns
  2. Consider Practical Safeguards:
    • Implement closed-network exam formats when needed
    • Use in-person proctoring where appropriate
    • Consider alternative assessment formats like oral exams