The MLR Reviewer’s Perspective: Balancing AI and Human Judgment

As AI becomes increasingly embedded in Medical, Legal, and Regulatory (MLR) workflows, organizations are exploring how automation can accelerate reviews while maintaining the high standards of scientific accuracy and compliance that the industry demands. In this video, Robert Liebman, who leads MLR Services and Technology Solutions at Indegene, sits down with Hema Iyer, an experienced MLR practitioner with over 20 years of healthcare expertise, to explore how AI and automation are reshaping the MLR review process from a practitioner's perspective. Drawing on her hands-on experience managing MLR operations for global pharmaceutical companies, Hema discusses the realities of day-to-day content review, the repetitive tasks that slow reviewers down, and where intelligent automation can deliver the greatest value. Together, Robert and Hema examine how AI can improve content quality through early risk detection, claim and reference validation, version comparisons, and workflow efficiencies, while emphasizing that human oversight, scientific expertise, and compliance remain essential to ensuring safe, accurate, and evidence-based decisions. The conversation offers practical insights into how AI can support MLR reviewers in delivering faster, higher-quality, and compliant content without compromising expert judgment.