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| # Law School Teaching Syllabus | |
| ### FOIA, Evidence, and Responsible AI | |
| ## Course Module Title | |
| **Public Records, FOIA, and AI-Assisted Legal Research** | |
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| ## Learning Objectives | |
| Students will: | |
| - Understand FOIA Electronic Reading Rooms | |
| - Practice Bluebook citation of government records | |
| - Evaluate AI-assisted research ethically | |
| - Distinguish evidence from analysis | |
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| ## Required Tool | |
| **Federal FOIA Intelligence Search** | |
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| ## Week 1 β FOIA Foundations | |
| - FOIA statutory framework | |
| - Agency reading rooms | |
| - Redaction and exemptions | |
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| ## Week 2 β Evidence & Citation | |
| - Bluebook rules for government documents | |
| - Exhibit numbering | |
| - Tables of Authorities | |
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| ## Week 3 β AI as Research Assistant | |
| - AI opt-in ethics | |
| - Hallucination risks | |
| - Disclosure requirements | |
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| ## Week 4 β Litigation Appendix Exercise | |
| Students generate: | |
| - Exhibit appendix | |
| - Citation list | |
| - Integrity hashes | |
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| ## Ethics Discussion | |
| Topics: | |
| - AI misuse in litigation | |
| - Transparency vs automation | |
| - Professional responsibility | |
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| ## Assessment | |
| β Citation accuracy | |
| β Ethical reasoning | |
| β Source verification | |
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| ## Instructor Note | |
| AI outputs are explicitly **not admissible evidence**. |