AI at Work
Who Owns What?
Who owns what AI produces, and who's liable when it goes wrong.
What it covers
AI ownership is a legal minefield. Who owns outputs your team creates? Who owns the training data? What happens when AI produces something you never intended? This session cuts through the confusion with real answers.
You'll walk away with a practical checklist for using AI safely in your firm, understand the contract clauses that settle ownership disputes, and know exactly what to document before your team starts using AI on client work.
What you leave with
An AI-use policy starter checklist
What to allow, restrict and document before your team pastes in client data
A who-owns-what cheat sheet
AI outputs, inputs and prompts — and the contract clauses that settle ownership
An exclusive 1:1 consultation offer
A 15-minute Founder Legal Problem-Solve session at S$50 only — limited slots
Who should attend
- •Founders and operators who use AI tools on client work
- •Managing partners concerned about IP and liability exposure
- •Anyone who wants to document AI use safely before it becomes a compliance issue
- •People trying to figure out who owns what when AI is involved
Led by
Shen Xiaoyin
Founder & Managing Director, The Little Law Corporation, LLC
13+ years in cross-border M&A and compliance. Advises founders and operators on the legal side of AI adoption, IP ownership, and risk management. Teaches practical solutions, not theory.
Most teams using AI don't think about ownership until something goes wrong. By then it's too late — you've already passed client data to a third-party model, or created work product you can't control.
This session is about getting ahead of it. We'll walk through the practical questions: What can you ask your team to use? What are the red flags in a tool's terms of service? How do you document it so you're protected if a client asks?
One hour. A checklist you can use Monday morning. Real answers, not hypotheticals. And the clarity to use AI as a competitive advantage without the liability hangover.
Session Details
- • Duration: Exactly 1 hour (12:00–1:00 PM). Practical, no theory.
- • Format: Live walkthrough with real examples from firms using AI today
- • Takeaway: Checklists and a who-owns-what reference card you can use immediately
Date
Wed, 14 Oct 2026
Time
12:00 – 1:00 PM (1 hour)
Venue
The Meeting Point, JTC LaunchPad
81 Ayer Rajah Crescent #02-63
Price
Free (JTC Community)
S$38 (Public)
Seats
Seats limited — register in advance
Register Now
Have questions?
Email xy@tllc.asia