AI TRAINING
Generative AI Copyright and IP Fundamentals
Equip teams to navigate AI-generated content ownership, training data rights, and emerging EU and US case law.
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Run the diagnostic →What it covers
This training covers the full intellectual property lifecycle of generative AI: from the legality of training data ingestion and model outputs to indemnification clauses, watermarking standards, and recent landmark rulings in the EU and US. Participants work through real-world scenarios involving LLMs, image generators, and code assistants to identify risk exposure and practical mitigation strategies. The format combines expert-led instruction with case study workshops and policy drafting exercises. Teams leave with a working framework for assessing IP risk in any AI-assisted workflow.
What you'll be able to do
- Assess whether a given AI training dataset use case falls within EU TDM exemptions or US fair use doctrine
- Identify clauses in AI vendor contracts that transfer, limit, or indemnify IP liability, and flag red flags for legal review
- Determine who, if anyone, holds copyright in a specific AI-generated output under current EU and US law
- Design a basic internal AI content policy covering attribution, disclosure, and acceptable use aligned with current regulations
- Explain the role of C2PA watermarking and content credentials in proving provenance and reducing infringement risk
Topics covered
- Training data provenance and fair use / text-and-data mining (TDM) exemptions
- Ownership of AI-generated outputs under EU and US copyright law
- Indemnification clauses in AI vendor contracts (OpenAI, Adobe, Microsoft Copilot, etc.)
- Digital watermarking and content provenance standards (C2PA)
- Recent EU and US case law: Getty Images v. Stability AI, NYT v. OpenAI, Thaler v. Vidal
- EU AI Act obligations intersecting with IP and copyright
- Open-source model licensing (Apache 2.0, CC-BY, RAIL licences)
- Internal policy drafting: acceptable use, attribution, and disclosure requirements
Delivery
Delivered as a one-day in-person or live-virtual workshop split roughly 50% expert instruction and 50% case study exercises and policy drafting. Materials include a case law digest (updated quarterly), contract clause annotation worksheets, and a reusable IP risk assessment checklist. Remote delivery uses breakout rooms for group exercises. An optional 90-minute follow-up Q&A session can be scheduled 2-4 weeks post-workshop to address implementation questions.
What makes it work
- Involve legal counsel alongside content and product teams in the same session to align understanding and accelerate policy decisions
- Anchor learning in real vendor contracts and real case law rather than hypothetical examples to drive immediate applicability
- Assign a policy owner before the training ends so that the IP risk checklist produced in the workshop has a clear next action
- Schedule quarterly refreshers or update briefings given the rapid pace of litigation and regulation in this space
Common mistakes
- Assuming that outputs from paid commercial AI tiers are automatically IP-safe and indemnified without reading the vendor contract carefully
- Treating AI-generated content as fully copyrightable company IP without verifying human authorship thresholds required by national law
- Ignoring training data provenance when fine-tuning open-source models on proprietary or scraped datasets
- Conflating EU AI Act compliance with copyright compliance, they are separate regulatory regimes with different obligations
When NOT to take this
This training is not the right fit for a team that has already deployed AI at scale and needs jurisdiction-specific legal advice on active litigation or regulatory investigations, that requires retained legal counsel, not a group workshop.
Providers to consider
- Fieldfisher AI Legal Training (EU)www.fieldfisher.com/en/services/technology/artificial-intelligence →
- Bird & Bird AI Academywww.twobirds.com/en/capabilities/artificial-intelligence →
- WIPO Academy, AI and IPwww.wipo.int/academy/en/ →
- CMS Law, AI Training Workshopscms.law/en/int/service/artificial-intelligence →
Sources
Use cases this training unlocks
- IP Infringement Detection via Deep LearningAutomatically detect potential IP infringement by comparing products and designs against existing portfolios.
- Advanced Plagiarism and AI Content DetectionDetect AI-generated text, paraphrasing, and cross-language plagiarism to protect academic integrity.
- AI-Generated Product Descriptions at ScaleAutomatically generate SEO-optimised product descriptions for thousands of SKUs, faster and cheaper than copywriters.
- Ad Creative Optimization EngineAutomatically generate and optimize ad creatives, headlines, and CTAs using generative AI.
- Multi-Modal AI Content ModerationAutomatically detect hate speech, violence, and misinformation across text, images, and video at scale.
- Regulatory Change Impact AnalysisAutomatically parse new regulations and map their impact on existing policies and controls for compliance teams.
Other trainings at this level
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