I manage a 25GB archive of legal documents for subscribers. How can I deploy an affordable ChatGPT-like search tool with secure member access?
Deploying a ChatGPT-like system for legal document search requires balancing performance, security, and cost. In my experience, a self-hosted solution that leverages open-source language models tuned on legal datasets can be effective. Use an indexed archive for initial filtering and then apply natural language processing for nuanced queries. Implement strong user authentication and secure API endpoints to safeguard sensitive documents. This approach offers control over data, minimizes reliance on third-party services, and can be tailored to specific legal search needs.
i think a hybrid approach works- use managed search api for indexing and an open source model fine-tuned for legal docs. this keeps costs low and ensures secure, authendicated access while letting you leverage flexible custom tweaks.