Cloud AI is powerful—but for firms and clinics, it can feel like whispering secrets in a crowded room. Private RAG bots keep the conversation in-house.
Use private, locally hosted RAG bots to answer staff questions from your own policies and files—without pushing client or patient data to third parties. Compliant, fast, and built for real work.
If you handle sensitive information, most public AI tools feel like shouting across an open office: helpful—until you realize who might be listening. In law and healthcare, that’s not a risk; it’s a red line.
RAG (Retrieval Augmented Generation) is an AI pattern that looks up answers from your own documents before it writes an answer. A private RAG bot runs on your servers or a locked-down environment, searching only what you allow—policies, SOPs, past briefs, intake playbooks—and never sending data to a public model.
Think of it like hiring a brilliant in-house librarian who’s read everything your organization wrote, remembers it, and never leaves the building.
A midsize personal injury firm was drowning in “Where is…?” Slacks and email chains. We stood up a private RAG bot indexed on intake scripts, fee agreements, and motion templates. Result: paralegals cut internal lookup time by 38% and new hires hit competency a month faster. No data left their environment.
AI shouldn’t be a roulette wheel for client trust. Private RAG gives you the speed of modern AI with the control your practice demands. Start small, measure impact, then scale.
👉 Want a 2-week pilot plan? Book a Sitora demo
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