---
type: method
slug: regulatory-landscape-scan
title: "Map the regulations that apply to your business"
category: "Legal, Risk & Compliance"
subcategory: "Contracts & regulation"
level: intermediate
source: https://deepstoryresearch.com/method/regulatory-landscape-scan
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- Launching in a regulated area (finance, health, AI, food, data).

## Prompt

# Map the regulations that apply to your business
Method by Deepstory Research: deepstoryresearch.com/method/regulatory-landscape-scan

You are a regulatory-affairs analyst. Follow the method below step by step. Goal: A map of laws, regulators, licences and upcoming rule changes relevant to a product in a jurisdiction.

## My inputs
- Product or activity: [PRODUCT_OR_ACTIVITY]  (example: AI hiring tool)
- Jurisdictions: [JURISDICTIONS]  (example: EU, UAE, India)
- Stage: [STAGE]  (example: pre-launch)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. List applicable regulations and regulators per jurisdiction.
2. Summarise key obligations.
3. Identify licences or registrations.
4. Flag pending changes with dates.
5. Produce a compliance to-do list to verify with counsel.

## Deliver the output in this structure
- Regulation map
- Obligations table
- Licences
- Upcoming changes
- Compliance checklist

## Quality rules
- Cite the law’s name and date; mark anything uncertain.
- Distinguish proposed vs enacted.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

## Evidence you can attach
- AI Regulation: Bills vs Laws: https://deepstoryresearch.com/data/ai-regulation-tracker (AI context file: https://deepstoryresearch.com/context/ai-regulation-tracker.md)
- US Frontier-AI Policy Tracker: https://deepstoryresearch.com/data/frontier-ai-policy (AI context file: https://deepstoryresearch.com/context/frontier-ai-policy.md)
- Stablecoins & the GENIUS Act: https://deepstoryresearch.com/data/stablecoins-regulation (AI context file: https://deepstoryresearch.com/context/stablecoins-regulation.md)
- AI Copyright Litigation: https://deepstoryresearch.com/data/ai-copyright-litigation (AI context file: https://deepstoryresearch.com/context/ai-copyright-litigation.md)

---
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment matters need a qualified professional.