The Medical, Legal, and Regulatory (MLR) review process has long been a cornerstone of compliance in the pharmaceutical industry, safeguarding content accuracy, scientific integrity, and adherence to regulatory frameworks. However, this process is also known for being resource-intensive, highly manual, and vulnerable to delays, particularly in an environment where content volumes are increasing, regulations are evolving, and speed to market is more critical than ever.

Pharma companies are now being asked to deliver more faster, and with greater precision across multiple channels, geographies, and therapeutic areas. As a result, the industry is turning to artificial intelligence (AI) not merely as a tool for automation, but as a strategic asset that can fundamentally transform how MLR processes are executed.

AI is already transforming the MLR landscape: from automating claim verification and reference checks to standardizing compliance across global markets and reducing the burden on human reviewers. The potential impact is substantial—enhancing efficiency, improving quality, reducing risk, and freeing up expert time for higher-value strategic decision-making.

This report, Boosting MLR Efficiency: The Game-Changing Role of AI, brings together voices from across the industry to explore this transformation. Through their reflections, we explore key challenges, implementation strategies, and the evolving role of human oversight in a future increasingly shaped by AI