This edition considers how clinical witnesses can feel prepared for court, examines the increasing prominence of inquiries and reviews across the NHS and explores AI in healthcare.

The Autumn Budget 2026 was delivered by Chancellor John Healey on 28 October 2026. Alongside tighter capital budgets and continuing pressure on day-to-day spending, the government is putting greater emphasis on productivity and technology.

Four important recent publications have highlighted the legal and governance framework within which AI in healthcare should operate when considering the issue of civil liability.

This article considers the current legal position, potential future changes and what any healthcare organisation must do to minimise litigation risk associated with AI adoption.

New National Commission aims to make the NHS the most AI-enabled healthcare system in the world.

In this episode, our host Andrew Rowland is joined by Capsticks Head of Employment Healthcare practice Sian Bond. Together they discuss four key topics that will be vital to the successful delivery of the plan.

Listen to Part 2 with our host Andrew Rowland alongside Capsticks lawyers Andrew Latham, and Tana Dryden-Strong as they continue the discussion around health, data and future opportunities and risks of AI in healthcare.

In this episode, our host Andrew Rowland is joined by Capsticks lawyers Andrew Latham, and Tana Dryden-Strong as they discuss the opportunities and risks of AI in healthcare

Our specialist healthcare lawyers discuss the key themes shaping the future of the NHS.

Increased use of Artificial Intelligence (AI) in healthcare will warrant greater legal governance.

The focus on growing the Life Sciences sector in the Labour manifesto present both risks and opportunities for insurers. Our experts outline what those opportunities look like and also how risks should be analysed and managed.

The opportunities for equipment manufacturers and software developers appear to be almost limitless. From tele-radiology and dermatology to using AI in diagnosis – all present unique challenges, but have similar medico-legal issues at their core.