AI TRAINING
Copyright and IP for SMEs Using Generative AI
Walk away knowing exactly what you own, owe, and must disclose when using generative AI commercially.
What it covers
A focused half-day workshop covering the practical intellectual property risks SMEs face when using generative AI tools commercially. Participants learn how OpenAI, Anthropic, Google, and Midjourney terms affect output ownership, what must be disclosed to clients, and how to avoid trademark and copyright pitfalls. Sessions combine plain-language legal context with real-world scenarios drawn from marketing, design, and content workflows. Participants leave with a one-page IP checklist tailored to their tool stack.
What you'll be able to do
- Identify which generative AI platform terms grant, restrict, or disclaim output ownership for commercial use
- Assess whether an AI-generated deliverable can legally be transferred to a client under current EU/UK frameworks
- Draft a one-paragraph client disclosure clause covering AI-assisted content
- Apply a trademark-risk screen before publishing AI-generated brand assets
- Create a simple internal AI-IP policy document appropriate for a team under 50 people
Topics covered
- Commercial-use terms for OpenAI, Anthropic, Google Gemini, and Midjourney
- Who owns AI-generated outputs under current EU and UK law
- Input copyright: risks of feeding proprietary or third-party content into AI tools
- Client-deliverable disclosure obligations and best-practice clauses
- Trademark screening for AI-generated names, logos, and visuals
- GDPR intersections: personal data in prompts and training sets
- Building an internal IP policy for AI-generated assets
- Practical IP checklist for common SME tool stacks
Delivery
Delivered in-person or via live online session (Zoom/Teams). Approximately 60% facilitated discussion and scenario work, 40% structured input from a legal or IP specialist. Participants are encouraged to bring real examples from their current tool stack. A downloadable IP checklist and sample client disclosure clause template are provided. No prior legal knowledge required.
What makes it work
- Adopting a short internal checklist that teams run before any AI-generated asset goes to a client
- Including a standard AI disclosure clause in service agreements and project briefs
- Designating one person (founder or ops lead) responsible for monitoring platform terms as they evolve
- Repeating a short review session every 6-12 months as regulations and provider terms change
Common mistakes
- Assuming that paying for a generative AI subscription automatically grants full commercial copyright in outputs
- Feeding client briefs, contracts, or proprietary data into AI tools without assessing input IP risk
- Delivering AI-generated logos or brand names to clients without any trademark clearance step
- Omitting AI use from client contracts, leaving both parties exposed if ownership is disputed
When NOT to take this
This workshop is not the right fit for a large enterprise with an in-house legal team already building a formal AI governance programme — they need a deeper, jurisdiction-specific legal audit rather than a practitioner-facing literacy session.
Providers to consider
Sources
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