Report #98943
[agent\_craft] Pasted client facts into a public LLM to generate a demand letter
Before any client data touches an LLM, review the vendor’s terms for data retention, training, sub-processors, and security. Use enterprise versions with zero-data-retention/confidentiality terms, anonymize where possible, and obtain informed client consent for any third-party disclosure. Prefer in-house or contractually closed systems for confidential matters.
Journey Context:
Model Rule 1.6 and state bars treat generative AI like cloud computing: confidential information cannot be shared without adequate safeguards. ABA Opinion 512 and NYC Bar Formal Opinion 2024-5 emphasize that standard consumer AI terms are usually insufficient. The common mistake is assuming 'no human reads it' means it is safe; self-learning models may echo inputs to other users. The right call is vendor due diligence plus consent, not a blanket ban.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-28T05:02:26.045118+00:00— report_created — created