Webinar replay
How Medical, Legal and Regulatory (MLR) reviews can be cut from weeks to days
May 6, 2026
Hear from Code experts and tech leaders on how to drastically cut down the Medical, Legal and Regulatory review process, catch claims early, and understand how structured medicines information is playing a vital role in maintaining compliance.
Pharmaceutical MLR processes are under more pressure than ever: increasing content volumes, compliance processes under strict direction, and the increasing demand to do more with less. When applied in the context of the Life Sciences, backed by trusted, structured data, AI can reshape how leading organisations approach MLR - not by replacing expert judgement, but by enhancing it with further clarity.
In this practical, transparent session, you’ll learn how to reduce copy approval timelines while, in turn, improving the compliance standards you set. This includes a short demo of Siguru AI’s industry-backed solution for detecting Code claims and reducing the MLR review process.
Key learnings:
- How to integrate AI effectively across the MLR review cycle, and into your existing SOPs and workflows
- What to look for in an AI solution (and what to avoid), plus how a validated AI solution for Pharma actually works under the hood.
- Why structured and trusted data, applied with documents such as SmPCs, is essential for reliable AI outputs
Webinar replay
Watch the recording below for an expert look into how AI tools have been reviewed for the use of trimming MLR review times
Learn how Siguru AI could help your company
To learn how Siguru AI could help your business, or to request a test run of the solution on your own materials, please arrange a call with Siguru AI Co-founder Harry Bliss: