In this episode of the Freedom Scientific Training Podcast, Liz and Rachel explore Google NotebookLM and how screen reader users can leverage it with JAWS to organize, analyze, and interact with large sets of information more efficiently. They walk through what makes NotebookLM different from other AI tools, focusing on its source-driven approach to research, clear citations, and powerful summarization capabilities.

Listeners learn how to create notebooks, add and manage sources such as documents, PDFs, audio files, web pages, and YouTube videos, and ask targeted questions across all uploaded materials. The episode also covers practical navigation tips for using NotebookLM's web interface with JAWS, including working with headings, tables, dialogs, and menus.

The discussion expands into real-world use cases for students, professionals, and personal research, and highlights advanced features in the Studio tab—such as generating reports, study guides, meal plans, podcasts, videos, and other AI-created outputs based entirely on your own sources. The episode concludes with examples of how NotebookLM can transform research, training, and information management into a more accessible and efficient experience for screen reader users.