Logikcull ASK: Security & Data Privacy
Learn how Logikcull's ASK feature keeps your case data secure, with end-to-end encryption, zero AI training on client data, and full transparency at every step.
AI-powered document search is only as trustworthy as the security behind it, but understanding exactly how your data is protected shouldn't require a law degree.
This white paper breaks down the security and data privacy architecture behind Logikcull's ASK feature, showing precisely how sensitive case data is handled from query to answer without ever leaving your control.
What's inside:
- How the Retrieval Augmented Generation (RAG) architecture powers ASK while keeping project data within Logikcull's own infrastructure
- End-to-end encryption protocols (TLS 1.2 and 1.3) governing all data transmitted to and from AWS Bedrock
- Why client data is never used to train AI models, and the AWS and Logikcull commitments that guarantee it
- How automated abuse monitoring works without any human inspection of your queries or generated answers
One data breach in a high-stakes matter can end a case and a career. Know exactly how your GenAI tool protects your clients' most sensitive information before you deploy it.
Want to see it work? Request a demo today.
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