As AI tools become embedded in systematic review and evidence synthesis workflows, research teams face a growing — and often misunderstood — set of copyright obligations. Getting this wrong carries real risk, yet clear, practical guidance has been hard to find.

This webinar cuts through the complexity. Joining forces with Elsevier, DistillerSR walks through the copyright landscape as it applies to evidence synthesis today: from the basics of subscription rights and Open Access licensing to the nuanced questions raised by AI-assisted extraction.

We address the questions research teams are already asking — and some they haven’t thought to ask yet. What does it actually mean to “use” an article in a systematic review? How does the NonCommercial test apply to your organisation? When does AI assistance stay within standard subscription terms, and when does it require something more? And critically: what separates using AI for extraction from training AI on your content?

Whether you work in academia, a government agency, a CRO, or a pharmaceutical or medical device company, your organisation type shapes your rights — and your responsibilities. This session provides a practical compliance framework that accounts for who you are, how you work, and what you produce.

Key Objectives

• A clear understanding of Open Access licence terms and the NonCommercial organization test
• A framework for evaluating AI-assisted workflows against copyright requirements
• Practical guidance on the difference between single-client research outputs and multi-client evidence platforms
• Publisher-aligned perspective on where human oversight matters most
• A comprehensive compliance matrix they can apply to their own workflows immediately