Guide · Last updated 8 May 2026
How to use AI for policy and regulatory research
A practical guide to using AI for policy and regulatory research without falling into the hallucination trap.
AI is genuinely useful for policy and regulatory research, but only if you use it well. Used badly, AI invents cases, mixes up jurisdictions, and quotes statutes that do not exist. Used well, it does the breadth-of-coverage work that used to take an analyst a week and gives your team back time for the judgement calls that actually need them. The workflow below is the one we recommend.
Step 01
Write the question down before you ask the AI
A specific question gets a useful answer; a vague one gets a confidently wrong one. Before you open the AI, write the question with enough context to answer it: which jurisdiction, which regulation if you know it, which date or version, which aspect of your business. The thirty seconds you spend scoping the question saves an hour of bad output.
Step 02
Choose the right tool for the question
For ongoing regulatory monitoring and impact analysis across global markets, use a specialist platform like Maiven. For case law research, use Thomson Reuters or Lexis+ AI. For brainstorming, drafting, or summarising a document you already have in front of you, a general-purpose chatbot is fine. The mistake that wastes the most time is asking a generic chatbot to do specialist research.
Step 03
Insist on grounded answers with citations
A regulatory answer without a citation is a guess with confidence. Use platforms that ground their AI in a curated source of truth and that show you the quote and the source for every claim. Maiven fact-checks every quote against the source legislation; if the platform you are using cannot do that, treat the answer as a starting point, not the end of your research.
Step 04
Verify the date and the version
Regulations get amended; AI training data gets stale. Check that the rule you are looking at is current and that you have the version that was in force on the date you care about. Maiven tracks the version history of every saved policy and flags when a regulation has been updated.
Step 05
Use the AI for breadth, your team for depth
AI is best at scanning, summarising, and pointing you at the right place to look. Use it to canvass a question across markets, then have a person (your team, your outside counsel, or Maiven's policy experts) do the deeper work where it matters. Asking AI to do the deep judgement work tends to mean redoing it manually anyway, so the breadth-AI plus depth-human split is usually the productive shape.
Step 06
Capture what you learn in a workspace
Good research compounds. The first time someone in your team works through an AI regulation, the second time should be faster because the answer is already saved. Use a workspace, in Maiven or in your own knowledge management system, to capture saved policies, notes, decisions, and deadlines. Workspaces are how individual research becomes team knowledge.
Step 07
Build a peer review step into anything material
For anything that goes to a board, a regulator, or a customer, build a peer review step in. That can mean a human expert reviews the output, automated checks built into the platform (Maiven, for example, validates every quote against the source legislation and runs outputs through policy experts), or both layered together. If the platform you are using does not do this, build the step into your own workflow.
Common questions
Is AI accurate enough to use for binding regulatory research?
Generic AI is not. Specialist AI grounded in curated source material with fact-checking and expert review is. The accuracy comes from the grounding and the review, not the model itself. Maiven runs answers against 1 million+ policy documents we maintain, fact-checks every quote against the source, and reviews outputs through our policy experts.
How do I avoid AI hallucinations in legal and policy research?
Three controls. Use platforms grounded in a curated source of truth, not the open internet. Check that every quote comes with a citation and verify it against the source. Put expert review in the loop for anything material. Maiven does all three by default.
Can I just use ChatGPT or Claude for regulatory research?
For brainstorming and structuring your own thinking, yes. For binding research where the answer ends up in a board paper or a regulator submission, no. Generic chatbots invent cases, mix up jurisdictions, and miss recent amendments. Use specialist tools for material work and reserve general-purpose AI for early-stage drafting.
How does Maiven handle research questions across multiple jurisdictions?
The AI Policy Advisor can search across all of Maiven's 1 million+ policy documents in one query, filtered to the jurisdictions and topics in your business profile. You get a single answer with citations across markets rather than running the same question separately in each one.
How quickly can a team adopt AI for policy research?
For ongoing regulatory monitoring with Maiven, two weeks to operational use. For ad-hoc AI policy research using general-purpose AI plus a clear internal policy on what it can and cannot be used for, immediately. Running the two side by side is usually the productive shape: general AI for first drafts, specialist AI for binding research.
See AI policy research on your business
Get a free policy impact assessment to see what Maiven returns for the regulations that affect your business.
Get your free assessment