Date/Time: 11th February 2026, 13:00-13:45 GMT
Location: Zoom
Enterprise AI – the use of AI models, AI applications and AI infrastructure by organisations – is the fastest-scaling software category in history and 2026 looks set to be the year it moves decisively to the heart of the enterprise tech stack.[1] This will drive rapid and deep change, transforming how businesses manage operations, build products and interact with customers.
Tech lawyers are familiar with the contracting paradigms of ‘traditional’ SaaS software. But how will these norms hold up against at-scale enterprise AI deployments? What unique aspects of this transformational technology require specific attention? What should businesses – and their lawyers – be thinking about, and asking for, in their AI contracts?
In this forward-thinking webinar series, Chris Kemp, Partner at leading Tech Law boutique Kemp IT Law, looks beyond the familiar “who owns the input/output?” and “how flimsy are the indemnities?” debates to the fundamentally new questions AI systems pose – and what these mean for AI contracting in the year ahead:
- How to approach and manage the “model layer” – from managing AI model platforms to model provider contract risk.
- At a time when AI systems are changing on a weekly (or even daily) basis, how to manage continuous change – product evolution, model configuration changes and roadmap risk?
- How to think about information security, governance and assurance when contracting for AI services.
- How to structure pricing and value for AI-driven features and usage-based models.
Market recognition for Chris Kemp – “Up and Coming” (Chambers, 2026) – “Expertise in AI Projects” (Legal 500, 2025) – “Able to explain very complex issues in a simple way” (Thomson Reuters Stand-Out Lawyers, 2025)
Market recognition for Kemp IT Law – “Pre-eminent in this area” (Legal 500, 2026) – “Well placed to advise on AI” (Chambers, 2026) – “A highly regarded boutique offering vast experience in data protection and information law, EU and UK privacy and cyber-related regulations and AI governance” ( Chambers, 2026)
[1] Menlo Ventures, 2025: The State of Generative AI in the Enterprise (9 December 2025) (here).
