Consumer Chatbots Quietly Erasing Privilege

Staff paste case facts and client strategy into public chatbots whose terms may allow providers to store and reuse input. Sharing privileged information with a third party can put privilege and confidentiality at risk. PointGuard AI discovers unapproved chatbots and applies AI-native data protection to block privileged details before they leave the firm.

A single paste into a consumer chatbot can put privilege at risk.

• Public chatbots may retain and reuse prompts.
• Staff do not read or understand provider terms.
• Privileged facts are hard to recognize with generic detectors.
• Firms learn of exposure only after the fact.

Shadow AI Control and AI Data Protection find consumer chatbots and stop privileged data from reaching them.

1. Discover consumer chatbots. Identify public AI tools in use across endpoints, browsers, and network traffic.

2. Define privileged data. Create detectors for client names, matter numbers, and privileged terms.

3. Block or redirect. Block privileged data headed to consumer chatbots and redirect staff to firm-approved tools.

4. Report and educate. Track attempts by practice group and feed results into training and policy.

Technical controls support, and do not replace, legal judgment about privilege.

• OWASP Top 10 for LLMs: LLM02 Sensitive Information Disclosure and LLM03 Supply Chain, covering privileged data disclosure and reliance on third-party chatbot providers.
• OWASP Top 10 for Agentic Applications: ASI09 Human-Agent Trust Exploitation, addressing misplaced trust in consumer AI tools.
• NIST AI RMF: GOVERN sets acceptable use; MAP identifies risky tools; MEASURE evaluates exposure; MANAGE blocks privileged data.