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AI & Information Services
Industry focus
Models are governed by their inputs.So is your liability.
Organizations building or deploying AI face questions about training data provenance, transparency, automated decisions and vendor accountability — often before regulation settles.
We build defensible AI governance now: documented data sourcing, risk assessment, human oversight and contractual allocation of responsibility.
Our Differentiator
AI risk is a data and documentation problem before it is a legal one.
We assess how models are trained, evaluated and monitored, then document the decisions that regulators, customers and courts will later ask about.
We negotiate AI-specific terms with vendors and customers: usage rights, output ownership, confidentiality of inputs and limits on further training.
- AI Governance
- Training Data
- Automated Decisions
- Transparency
- Vendor Terms
Our Added Value
Model inventory
A register of AI systems, data sources and risk classifications you can maintain.
Impact assessment
Structured assessments for automated decision-making and high-risk use cases.
AI contracting
Usage, output, confidentiality and no-further-training terms with vendors and clients.
Oversight design
Human review, escalation and logging practices that make accountability real.
Who It’s For
- AI product companies and data providers
- Enterprises deploying AI in regulated workflows
- Teams facing customer or regulator questions about AI use
Our Team of Experts
Ceiba Law relies on a team of experts who specialize in their respective fields to provide you with the best advice.
View the complete team
Managing Partner
Vanessa Henri, LL.M.
Key services
Software Development
AI and Information Services
Partner
Elodie Meyer, LL.B.
Key services
Finance & Insurance
Education & Public Institutions
Partner
Shawn Ford, LL.M.
Key services
Healthcare & Medical Technologies
Finance & Insurance