Analyzing AI Terms
A practical guide helping lawyers learn how to analyze AI terms in commercial contracts.
AI vendor agreements now include training rights, IP ownership provisions, and liability carve-outs that didn't exist five years ago, and most standard SaaS playbooks don't address them. This session gives you a practical framework for spotting the gaps, understanding what's at stake, and knowing what to push back on.
WHO IS IT FOR
Lawyers and in-house counsel.
REQUIREMENTS
No AI background needed. Just basic contracting knowledge.
FORMAT
Self-paced, including the full 1h CLE recorded session.
A definitions framework
Know which AI terms need precise scope and why overbroad definitions create exposure on both sides of the deal.
Data training analysis
Identify training rights clauses before they become a client data problem — including what opt-out exceptions don't cover.
IP ownership clarity
Navigate output ownership, indemnity carve-outs, and why "customer owns all outputs" isn't the complete picture.
Risk allocation vocabulary
Understand why SaaS-era liability caps and termination clauses fall short when AI outputs drive real decisions.
Charlyn Ho
Founder, Rikka Academy
Charlyn is a transactional lawyer with decades of experience in technology licensing, M&A, and commercial contracts. She designed the Rikka Method — a first-principles approach to contract analysis — and teaches lawyers to think before they draft. This session was recorded live with Washington University Law School as part of their CLE programming.
This CLE session is eligible for credits in Washington, DC.
Contact info@rikkagroup.com to request access.
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Contact info@rikkagroup.com to request access.
