This forward-looking analysis explores how RAG combines external document retrieval with LLM generation to dramatically reduce hallucinations and enhance factual grounding in legal tasks. Johnston spotlights a November 2024 randomized trial showing that while GPT‑4 speeded up legal work, it didn’t improve accuracy—suggesting RAG’s retrieval layer offers the key breakthrough. This matters for legal professionals because it shows a tangible path to reliable, citation-capable AI tools, built on verifiable sources like statutes and case law. By demonstrating that RAG-equipped systems can elevate LLMs from flashy assistants to trusted research partners, the article invites lawyers and legal tech developers to rethink how they deploy AI in practice.