This unit synthesizes practitioner perspectives on implementing AI across legal workflows, with emphasis on eDiscovery, data strategy, ethics, and change management. Students will convert lessons from industry leaders into practical, actionable plans for responsible AI adoption in law firms and legal departments.
Learning Objectives
- Analyze practitioner case studies and expert interviews to identify common success factors, technical requirements, and pitfalls when deploying AI tools in legal settings
- Evaluate ethical, privacy, and regulatory risks associated with AI-powered eDiscovery and legal tech solutions and justify mitigation strategies consistent with professional responsibilities
- Apply data science and validation methods to propose improvements to an eDiscovery or litigation-support workflow, including tool selection, testing, and quality controls
- Develop an actionable AI adoption roadmap for a hypothetical or real legal practice that addresses stakeholder communication, resourcing, training, and barriers to implementation
Curriculum
- 1 Section
- 7 Lessons
- 30 hours
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- Unit 4 — Deploying AI in Legal 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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