AI in eDiscovery: Practical Governance Resources
AI in eDiscovery: Practical Governance Resources
Resources for teams using generative AI, analytics, classifiers, or AI-assisted review features in litigation workflows.
NIST Generative AI Profile
What it is
- NIST guidance focused on generative AI risk management
- Helpful for teams evaluating summarization, chat, issue coding, privilege analysis, and drafting assistance
- Supports risk-based controls rather than blanket AI optimism or fear
Topics covered
- Hallucination risk, data leakage, explainability, testing, monitoring, human review, governance
Audience: intermediate. Format: direct PDF. Access: free. Last checked: May 17, 2026. Caveat: not legal advice; pair with professional responsibility rules, protective orders, client requirements, and privilege obligations.
NIST AI Risk Management Framework 1.0
What it is
- Direct PDF of NIST's general AI risk-management framework
- Helpful for mapping AI use in review workflows to governance, measurement, management, and documentation controls
- Useful baseline for teams adopting classifiers, summarization, chat, or other AI-supported legal review tools
Topics covered
- AI governance, risk controls, transparency, measurement, documentation, human oversight
Audience: intermediate. Format: direct PDF. Access: free. Last checked: May 17, 2026. Caveat: not eDiscovery-specific; translate the controls into legal hold, collection, review, privilege, production, and audit workflows.
ABA Formal Opinion 512: Generative Artificial Intelligence Tools
What it is
- Direct PDF of the ABA's ethics opinion on lawyers' use of generative AI
- Useful when AI-assisted review touches competence, confidentiality, supervision, fees, or court-facing accuracy
- Provides a professional-responsibility lens that technical AI governance documents do not cover
Topics covered
- Competence, confidentiality, client communication, supervision, fees, candor, verification of AI outputs
Audience: intermediate to advanced. Format: direct PDF. Access: free. Last checked: May 17, 2026. Caveat: ethics guidance, not a substitute for state rules, court orders, client requirements, or privilege analysis.
The Sedona Conference Primer on Generative AI in Discovery
What it is
- Direct PDF of Sedona's discovery-focused generative AI primer draft
- Useful because it speaks to discovery workflows rather than generic AI adoption
- Helps frame issues for prompts, source grounding, human review, privilege, confidentiality, and process documentation
Topics covered
- Generative AI in discovery, human review, confidentiality, privilege, prompt practice, validation, proportionality
Audience: intermediate to advanced. Format: direct PDF. Access: free. Last checked: May 17, 2026. Caveat: draft/meeting-paper material; verify whether a final version exists before citing it.