AI is changing how software, SaaS and cloud services are developed, sold, purchased and used. Features that were previously static or rule-based may now generate outputs, make recommendations, automate workflows, analyse customer data or act on behalf of users. This changes the legal and commercial structure of the service.
We help SaaS vendors, cloud providers and software companies implement AI in a way that fits their product, customer base and risk profile. Our advice covers AI feature launches, customer terms, acceptable use restrictions, liability allocation, data use, training data, output rights, auditability, transparency, security controls, and compliance with the GDPR, the AI Act, and sector-specific requirements.
For AI suppliers, we help translate the technology and business model into contract terms that customers can understand and accept. For purchasers, we support evaluation, negotiation and governance of AI-enabled SaaS and cloud services, including vendor risk, data protection, information security, service levels and regulatory accountability.
AI functionality often requires SaaS terms to be updated. Standard cloud or software terms may not adequately address generated outputs, model improvement, customer data use, human oversight, hallucination risk, third-party AI components, prompts, logs, embeddings, automated decisions, or customer obligations when AI is used in regulated environments.
We help clients review and redesign their SaaS and cloud terms so they reflect the actual service. This may include:
The goal is to create terms that support sales, reduce negotiation friction, and allocate risk in a way that aligns with the technology, customer expectations, and regulatory environment.
