FREE TO ATTEND
- CLE credit available in all US jurisdictions, pending final regulatory review
- Under consideration for CPD accreditation in Ontario and British Columbia
In Association With
OVERVIEW
Artificial intelligence is reshaping every corner of the energy industry — from predictive maintenance on pipelines to algorithmic trading in power markets. For in-house counsel, this transformation raises urgent questions: What liability frameworks apply when AI systems make consequential decisions? How should contracts address AI-generated outputs? And how can legal teams harness AI themselves to work smarter and faster?
This session equips energy lawyers with a practical understanding of the legal, regulatory, contractual, and ethical issues arising from AI deployment across the energy sector and what those developments mean for their day-to-day practice.
themes + agenda
Key themes
-Legal and regulatory implications of AI deployment across the energy value chain: Asset monitoring, grid optimization, emissions tracking, energy trading, and exploration considerations for lawyers
-Allocating legal risk in AI-enabled energy operations: Who is responsible when an AI system fails or produces a harmful outcome? How legal departments should structure vendor agreements, indemnities, and insurance coverage for AI-driven operations
-Litigation and data management: Managing litigation and regulatory risk through stronger data governance, defensible information management, and unified data strategies in the legal team
-AI regulation and energy sector compliance for in-house counsel: Emerging federal and state AI governance frameworks and their intersection with existing energy sector regulations (FERC, NERC, NEB, state PUCs)
– Ethical and professional responsibility considerations when using AI in legal practice: Leveraging AI for contract review, due diligence, regulatory monitoring, and litigation support; best practices and ethical guardrails for lawyers using AI tools
Featured speakers
IN ASSOCIATION WITH
