As you may have discovered on your own, genAI tools are ready and enthusiastic with their outputs, but may be woefully ill-informed, in spite of the snappy replies they spew out with unfettered confidence. So, what is being done to remedy this issue? Dennis and Tom explain how Retrieval-Augmented Generation (RAG) combines AI’s LLMs with more current external information, addressing problems arising from outdated LLM data. The guys talk through some of their favorite tools that employ RAG effectively and offer insights into their uses for attorneys.  Later, could AI-adoption be diminishing a lawyer’s hard-earned expertise? Dennis and Tom dive into this common fear shared by many traditionally-minded attorneys, focusing on ways to leverage AI not to replace, but enhance their legal practice. As always, stay tuned for the parting shots, that one tip, website, or observation you can use the second the podcast ends. Have a technology question for Dennis and Tom? Call their Tech Question Hotline at 720-441-6820 for the answers to your most burning tech questions. Show Notes - Kennedy-Mighell Report #372 A Segment: AI and RAG: Hate the Name, Love the Application Google Notebook LM https://notebooklm.google/  Perplexity.ai - https://www.perplexity.ai/ Practical Law with AI: https://legal.thomsonreuters.com/en/products/practical-law    B Segment: A question from our AI Chatbot Parting Shots: Android search with your camera - https://theintelligence.com/34456/android-search-google-lens/   Ethan Mollick, “Thinking Like an AI” - https://www.oneusefulthing.org/p/thinking-like-an-ai