ChatGPT policy prompts for internal drafts your counsel still owns
Paste existing rules, stakeholder notes, and scope boundaries. ChatGPT drafts structure and plain language. Legal or HR approves before anything goes on the wiki.
In short: This page contains 15 copy-paste ready prompts, organized into 5 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.
Scope and audience
3 promptsPolicy charter
1/15✨ What it does
ChatGPT drafts a policy charter with purpose, audience, and owner placeholders from your sources. Counsel sets effective date and owner before publish.
Draft a policy charter for [POLICY NAME]. Purpose, audience [ROLES], effective date [DATE OR VERIFY], owner [OWNER OR VERIFY], related policies [LIST OR VERIFY]. Sources: [PASTE]. Not legal advice.
Pro tip: Charter first. Writing sections before scope is how policies sprawl.
In scope out of scope
2/15✨ What it does
ChatGPT writes in-scope and out-of-scope lists for [POLICY] from your notes. Resolve [VERIFY] cases with HR and add them as examples.
From notes: [PASTE], write in-scope and out-of-scope lists for [POLICY]. 5 bullets each. Tag ambiguous cases [VERIFY].
Pro tip: Out-of-scope is where lawsuits start. Be explicit about contractors, vendors, execs.
Definitions block
3/15✨ What it does
ChatGPT lists terms and plain definitions from your doc with [COUNSEL REVIEW] tags. Counsel rewrites tagged terms; you do not paraphrase law.
List terms that need definitions for [POLICY TOPIC] from doc: [PASTE]. Write plain definitions. If a term is legal, tag [COUNSEL REVIEW].
Pro tip: One defined term beats three pages of examples. Define before you prohibit.
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Rules and procedures
3 promptsMust and may table
4/15✨ What it does
ChatGPT tables must/may rules with roles and evidence from your requirements. Delete any row you cannot tie to a source line.
Turn requirements: [PASTE] into a table: rule, must/may, role, evidence. No new rules. Unclear authority [VERIFY].
Pro tip: Must vs may is the whole job. If the source says should, it is may.
Exception process
5/15✨ What it does
ChatGPT drafts an exception process with approver and cadence placeholders. Name a real approver chain before the policy goes live.
Draft an exception process for [POLICY]: who requests, approver, documentation, review cadence. Inputs: [PASTE]. Tag missing approver [VERIFY].
Pro tip: Policies without exception paths get bypassed informally. Write the path.
Step-by-step procedure
6/15✨ What it does
ChatGPT writes up to 12 numbered steps for [PROCESS] from your SOP notes. Process owner walks the steps once and fixes [VERIFY] systems.
Write a numbered procedure for [PROCESS] from SOP notes: [PASTE]. Max 12 steps. Flag tools or systems not in notes [VERIFY].
Pro tip: If a step names a system not in the notes, it is fiction. Walk the flow physically.
Roles and enforcement
3 promptsRACI for policy
7/15✨ What it does
ChatGPT builds a RACI from your activity and role lists with VERIFY on empty cells. Assign real names to R and A before rollout.
Build RACI for [POLICY]: activities from [PASTE ACTIVITY LIST], roles [ROLE LIST]. Mark empty cells VERIFY. No invented VPs.
Pro tip: One accountable per activity. Shared A is how tasks float.
Violation handling outline
8/15✨ What it does
ChatGPT outlines violation handling with report channel placeholders from your source. HR and counsel replace qualitative ranges with approved language.
Outline violation handling for [POLICY]: report channel [CHANNEL OR VERIFY], investigation steps, outcomes range described qualitatively. Source: [PASTE]. Not legal advice.
Pro tip: Describe process, not punishments, unless counsel gave you exact text.
Manager talking points
9/15✨ What it does
ChatGPT writes manager talking points from your diff notes with a questions contact placeholder. Update [VERIFY] contact before managers get the deck.
Write manager talking points for rolling out [POLICY]: what changed, what stays, where to send questions [CONTACT OR VERIFY]. From diff notes: [PASTE].
Pro tip: Managers answer hallway questions. Give them one FAQ link and one human.
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Rollout comms
3 promptsLaunch email
10/15✨ What it does
ChatGPT drafts a policy launch email from your facts with link and date placeholders. Publish the wiki page before the email goes out.
Draft company email announcing [POLICY NAME] effective [DATE OR VERIFY]. Sections: why, who, where to read [LINK OR VERIFY], where to ask. Tone: [TONE]. Facts: [PASTE].
Pro tip: Email after doc, not before. Nothing worse than a link to a blank page.
FAQ from pilot feedback
11/15✨ What it does
ChatGPT turns pilot questions into FAQ answers from your draft. Add [VERIFY] answers after policy owner review.
Turn pilot feedback: [PASTE QUESTIONS] into an FAQ for [POLICY]. Answer from policy draft: [PASTE DRAFT]. Tag unanswered [VERIFY].
Pro tip: Pilot FAQs become the real policy for most employees. Take them seriously.
Training outline
12/15✨ What it does
ChatGPT outlines a 20-minute training with four modules from your source. L&D builds slides; you supply anonymized scenarios.
Outline a 20-minute training for [POLICY]: objectives, 4 modules, one quiz question idea per module. Source: [PASTE]. No invented scenarios with real customer names.
Pro tip: Training teaches where to look, not every clause. Point to the searchable doc.
Maintenance
3 promptsAnnual review checklist
13/15✨ What it does
ChatGPT writes an annual review checklist with owners and triggers from your context. Calendar the review date when counsel confirms.
Write an annual review checklist for [POLICY]: triggers, owners, law or vendor changes to watch, sign-off line. Context: [PASTE]. Dates [VERIFY].
Pro tip: Policies rot quietly. Annual review is cheaper than an incident.
Plain language pass
14/15✨ What it does
ChatGPT simplifies the section while preserving must/may and flags [COUNSEL REVIEW] lines. Counsel approves flagged sentences before you swap text.
Simplify this policy section: [PASTE] for reading grade near 10. Keep must/may words exact. Flag sentences that change meaning if simplified as [COUNSEL REVIEW].
Pro tip: Plain language is not softer law. Never change must to should in pass.
Cross-policy conflicts
15/15✨ What it does
ChatGPT lists conflicts and overlap between two pasted policies. Counsel picks the winner on each [VERIFY] row.
Compare policy A: [PASTE A] and policy B: [PASTE B]. List conflicts, overlap, and which doc should win. Tag unsure [VERIFY]. Not legal advice.
Pro tip: Employees experience policy as one system. Conflicts become selective compliance.
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