Create LAW_REVIEW_APPENDIX.md

LAW_REVIEW_APPENDIX.md

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+# Law-Review Publication Appendix
+
+## Abstract
+
+Federal FOIA Intelligence Search presents a **link-out, citation-first
+architecture** for researching public government records without scraping,
+indexing, or replicating official sources.
+
+---
+
+## Contribution to Legal Scholarship
+
+This project contributes to discussions on:
+- Responsible AI in legal research
+- FOIA accessibility and transparency
+- Evidentiary citation integrity
+- Ethical limits of automation
+
+---
+
+## Novel Design Elements
+
+- Exhibit-aware Bluebook citation automation
+- AI opt-in with cryptographic integrity hashing
+- Link-out-only FOIA federation
+- Zero-persistence architecture
+
+---
+
+## Methodology
+
+- Agency-specific FOIA search URL generation
+- Metadata-only aggregation
+- User-initiated actions
+- Disclosure-first AI integration
+
+---
+
+## Legal & Ethical Safeguards
+
+- No legal advice generation
+- No evidentiary claims by AI
+- No substitution for primary sources
+
+---
+
+## Limitations
+
+- Does not assess FOIA compliance
+- Does not verify redaction sufficiency
+- Does not infer intent or meaning
+
+---
+
+## Implications
+
+This architecture demonstrates a viable middle ground between:
+- Manual FOIA research
+- Fully automated (and risky) AI legal tools
+
+---
+
+## Suggested Citation
+
+> Godschild, Ezra. *Federal FOIA Intelligence Search: Responsible AI for Public Records Research.* (2026).
+
+---
+
+## Conclusion
+
+The project illustrates how **AI can assist legal research without undermining
+due process, transparency, or evidentiary standards**.