Lead magnetAI Use Policy for Escrow Offices — v0.1
AI tools are landing in escrow offices whether anyone planned for it or not. Officers draft emails, summarize files, and generate checklists with ChatGPT, Copilot, and other assistants. Some uses are fine. Some put client data, wire instructions, and regulatory exposure into a public AI system the office does not control.
This page gives you a complete policy template your office can adopt this week. Print it, mark it up, hand it to counsel, and make it yours.
Use this as a starting point. Have counsel and management adapt it before adoption.
The policy says do not trust AI output as the record. The office still needs to record what it reviewed before action.
1–3. The Green / Yellow / Red framework.
A practical traffic-light system for deciding what goes into an AI tool and what does not. The data classification is based on the content, not the tool.
Green
Approved uses — OK with public AI
Generic, non-client-specific content that does not expose any file, party, or transaction data.
- Generic checklists and training outlines
- Neutral email templates with no client names
- Formatting and grammar assistance
- Researching regulatory concepts and statutes
- Drafting office-internal SOPs with no client references
Yellow
Review-required — no private data
Office-internal content that may reference processes but must never include client names, file numbers, or transaction details. Output is a draft, not a decision.
- Client-facing email drafts (reviewed before sending)
- Internal SOPs and procedure drafts
- Office AI use policy drafts
- Training scenarios with sanitized details
- File checklists generated from office templates
Red
Prohibited — never put in public AI
Any content that contains or could expose client funds, personal identifiers, or transaction-specific instructions. This is the line that cannot move.
- Escrow instructions and file details
- Wire information and bank routing numbers
- Social Security numbers and loan documents
- Payoff demands and proceeds instructions
- Driver license numbers and government IDs
Section 4Client-data rule.
No client personally identifiable information (PII) may be entered into any public AI tool. This includes names, addresses, phone numbers, email addresses, Social Security numbers, loan numbers, and file numbers.
If a task requires referencing a client, sanitize the content first: replace real names with placeholders (e.g., “Client A”), remove all identifying details, and confirm no remaining text could identify the client before submitting to the AI tool.
Section 5Wire and account data rule.
Wire instructions, bank account numbers, routing numbers, and payoff demand details are strictly prohibited from entry into any public AI tool under any circumstances.
- Full or partial wire instructions
- Bank name combined with account or routing number
- Payoff demand letter contents
- Proceeds disbursement instructions
- Any document containing financial account credentials
There is no business need that justifies putting wire or account data into a public AI tool. If a task seems to require it, stop and use an office-internal process instead.
Section 6Manager review requirement.
Any AI-assisted output that will be used in a client-facing communication, filed in a transaction file, or relied upon for an operational decision must be reviewed by a manager or designated reviewer before use.
The reviewer must:
- 01Confirm no prohibited data was entered into the AI tool
- 02Verify the output is factually correct for the office’s purpose
- 03Record what was reviewed and the decision to use or reject the output
- 04Approve the output before it is sent or filed
The review itself is the record. The office still needs to record what it reviewed before action.
Section 7Public AI tools (ChatGPT free tier, Copilot, public Gemini, etc.) process data on servers the office does not control. Content entered into these tools may be stored, logged, or used to train future models. Treat all public AI tools as external systems.
Private or enterprise AI tools (Copilot for Microsoft 365 with enterprise data protection, ChatGPT Team/Enterprise with data privacy controls) may offer stronger data protections. However, they are still AI tools, not escrow systems. The green/yellow/red framework still applies. Private deployment does not move red-zone content into the green zone.
The data classification (green/yellow/red) is based on the content, not the tool. A private tool does not make prohibited content safe to enter.
Section 8Retention and file documentation.
When AI-assisted output is used in a transaction file or client communication, the following must be documented:
- What was generated
- A brief description of the AI-assisted output
- What was reviewed
- Which reviewer checked the output and what they verified
- What was changed
- Any edits made to the AI output before use
- What remained open
- Any gaps, limitations, or unresolved questions
- Office action
- What the office decided to do with the output
This documentation goes in the file alongside the final output. The policy says do not trust AI output as the record. The office still needs to record what it reviewed before action.
AI output should not be stored as the authoritative record. The office’s reviewed and approved version is the record. The AI draft is working paper, not file evidence.
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If this is usefulThe record is the missing piece.
This policy tells your staff what not to put into AI. But the policy also says something important: the office still needs to record what it reviewed before action. That record — what was checked, what stayed open, who decided — is the piece most offices do not have.
If you want to see what that record looks like on a real file, run the file test with one closed payoff demand. No live funds, no account numbers, no commitment. The office decides. Veto records the review.
The office decides. Veto records the review.
Veto does not approve, verify, authorize, guarantee, insure, or release funds. This policy template is provided as educational material, not as legal advice or a compliance product. Use this as a starting point. Have counsel and management adapt it before adoption.