AI TRAINING
AI Contract Negotiation for Leaders
Equip legal, procurement, and executive teams to negotiate AI vendor contracts with confidence and precision.
What it covers
This programme teaches legal counsel, procurement professionals, and executive sponsors how to identify, assess, and negotiate the key contractual risks embedded in AI vendor agreements. Participants work through real contract clauses covering data usage, IP ownership, training-data provenance, liability caps, warranty terms, and vendor exit strategies. Sessions combine clause-by-clause workshops with negotiation simulations against realistic vendor positions. By the end, teams leave with a negotiation playbook and annotated clause library ready to deploy.
What you'll be able to do
- Identify and red-flag high-risk clauses in AI vendor agreements before signing
- Draft or request data usage and IP ownership provisions that protect the organisation's interests
- Negotiate SLA terms that account for AI-specific risks such as model drift and accuracy degradation
- Design enforceable exit clauses covering data portability, model deletion, and transition support
- Apply a GDPR-aligned checklist to AI procurement scenarios involving personal data
Topics covered
- Data usage rights and restrictions in AI contracts
- IP ownership of model outputs and fine-tuned models
- Training-data provenance, consent, and compliance obligations
- Warranty terms and fitness-for-purpose in AI contexts
- Liability caps, indemnification, and AI-specific risk allocation
- Vendor lock-in risk and enforceable exit clauses
- SLA design for AI systems: accuracy, uptime, and drift thresholds
- GDPR and regulatory alignment in AI procurement
Delivery
Delivered as a blended programme over two to three weeks: one live kick-off workshop (half-day, in-person or virtual), two live deep-dive sessions (3 hours each), and self-paced clause analysis exercises between sessions. Participants receive an annotated AI contract clause library, negotiation simulation scripts, and a ready-to-use procurement playbook. Hands-on exercises represent approximately 50% of total learning time. In-person cohort delivery available for groups of 10 or more.
What makes it work
- Involving legal, procurement, and business stakeholders together so negotiation positions are aligned from the start
- Building a shared clause library that is updated after each vendor negotiation and reused across deals
- Embedding AI contract review into the standard procurement gate process rather than treating it as a one-off exercise
- Running annual refreshers as AI regulation and vendor standard terms continue to evolve
Common mistakes
- Accepting standard vendor data usage clauses that grant broad rights to use client data for future model training
- Failing to specify IP ownership of outputs generated using proprietary company data
- Negotiating generic IT SLAs without accounting for AI-specific failure modes like hallucination or model drift
- Omitting data deletion and portability obligations from exit clauses, creating lock-in risk
When NOT to take this
This training is not appropriate for organisations that have not yet selected any AI vendor and have no active procurement process — in that case, an AI strategy and vendor evaluation workshop should come first.
Providers to consider
Sources
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