This capstone unit synthesizes technical, legal, and ethical perspectives on implementing AI in legal settings, focusing on data governance, e-discovery workflows, risk mitigation, and stakeholder communication. Students will translate prior foundational knowledge into practical implementation plans and readiness strategies for responsible AI adoption in legal environments.
Learning Objectives
- Analyze real-world legal tech case studies to identify ethical risks, data governance gaps, and compliance issues associated with AI deployment
- Apply industry best practices to design an e-discovery and litigation-support workflow that integrates AI tools while preserving chain-of-custody and defensibility
- Demonstrate the creation of an AI governance checklist and stakeholder communication plan that addresses accountability, transparency, and attorney-client privilege
- Evaluate organizational and technical barriers to AI adoption and produce a phased implementation plan with measurable milestones to overcome those barriers
Curriculum
- 1 Section
- 7 Lessons
- 30 hours
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- Unit 4 — Deploying Ethical AI in Practice7
- 1.1JOHN BREWER, CHIEF DATA SCIENTIST, HAYSTACK ID20 mins
- 1.2JAIME RABA, PARTNER, SEYFARTH SHAW20 mins
- 1.3STEPHANIE WILKINS, DIRECTOR OF CONTENT AT LEGALTECH HUB20 mins
- 1.4ZACH ABRAMOWITZ, AI EVANGELIST AND FOUNDER, KILLER WHALE STRATEGIES20 mins
- 1.5KASSI BURNS, SENIOR ATTORNEY, KING & SPALDING AND FOUNDER, ESI FLOW20 mins
- 1.6STEPHEN DOOLEY, DIRECTOR OF ELECTRONIC DISCOVERY AND LITIGATION SUPPORT AT SULLIVAN & CROMWELL LLP20 mins
- 1.7WHAT IS STOPPING YOU?20 mins
Instructor
Free
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