Using Generative and Agentic AI in the Literature Review

AI can accelerate literature reviews, but without transparency and trusted content sources, it can also introduce risk. This session explores how to combine traditional search methods with modern AI tools, using LeapSpace™ as an example of research-grade AI grounded in peer-reviewed literature.

What you will learn:

• The difference between traditional Boolean search (structured, repeatable results) and semantic AI search (flexible, meaning-based results)
• Why semantic search results can vary — and how to evaluate and trust them
• A simple workflow: use AI to explore a topic, then refine and validate with structured search
• How to use AI outputs as inputs for literature reviews, research papers, and generating new research ideas
• How LeapSpace supports transparent, evidence-based research with citations and verification tools

How this helps you succeed:

You will learn how to combine the strengths of both approaches: the reliability of traditional search and the flexibility of AI. This helps you explore new topics faster, validate your findings, and build stronger research outputs with confidence."