Why Unsourced Answers Are a Liability in Tax Work
Questions arrive faster than senior staff can research them, consumer chatbots invent citations, and client facts pasted into outside tools can breach Section 7216 and confidentiality duties.
AI for tax research searches the Internal Revenue Code, Treasury regulations, IRS rulings, court cases and the firm's own memos, then drafts a research memo that states the facts and assumptions, cites and quotes each authority it relies on and marks where the law is unsettled. A CPA or tax attorney checks every citation, tests the reasoning and signs the advice. The agent advises no client and files nothing.
Trigger: A client or internal stakeholder asks a federal tax question that needs a documented answer. Owner: Tax Practice Leader. Primary output: Draft research memo citing and quoting each authority relied on. Consequential actions require approval.
Assess your workflowQuestions arrive faster than senior staff can research them, consumer chatbots invent citations, and client facts pasted into outside tools can breach Section 7216 and confidentiality duties.
VDF AI agents research inside the firm's environment over a curated library of primary authority and past memos, draft memos with checkable citations and leave every conclusion to the reviewer.
Restates the client facts and assumptions and lists missing facts that could change the answer.
Retrieves Code sections, regulations, rulings, cases and prior firm memos on the issue.
Confirms each authority exists, quotes the passage relied on and flags superseded items.
Writes the memo in the firm's format, separating settled points from open questions.
Routes the draft to the assigned reviewer and records edits and sign-off.
Each tax research source has a defined purpose, freshness expectation, quality gate, and sensitivity boundary.
Purpose: Ground every proposition in authority.
Freshness: Updated as new law and guidance are published.
Quality: Each document carries its citation, effective date and status.
Sensitivity: Public, with licensed content used within licence terms.
Purpose: Reuse the firm's signed positions on recurring issues.
Freshness: Added when a memo is signed off.
Quality: Memo date, reviewer and law-as-of date recorded.
Sensitivity: Confidential work product with matter-level access.
Purpose: Frame the question and its assumptions.
Freshness: Captured per research request.
Quality: Facts confirmed by the engagement team.
Sensitivity: Tax return information under Section 7216.
Spot-check citations in a monthly memo sample, and re-run a fixed question set after model or library changes.
Tax research suits retrieval because the authority is finite and citable. Treasury’s list in 26 CFR 1.6662-4(d)(3)(iii) names what counts toward substantial authority, from the Code, regulations and revenue rulings to cases, committee reports, the Blue Book and private letter rulings. It excludes conclusions in treatises, periodicals and professional opinions, so an AI answer is worth only the sources it points to.
Use it for recurring federal questions, not novel transactions with little authority to retrieve.
Under the Section 7216 regulations, a preparer may share return information with another US preparer without consent only when the recipient makes no substantive determination, meaning analysis, interpretation or application of the law. Keep client facts and the authority library in separate stores, so most research runs with no client data at all.
VDF AI Agents run on the firm’s own servers, so client facts used in a question are not disclosed to a model vendor. The legal research agent shows the pattern: jurisdiction and date fixed first, every proposition cited. The citation verifier checks that each quote supports its claim, and the VDF AI Router can keep these questions on local models.
The guide to AI for accounting firms covers Section 7216 consent routes. Related workflows include legal research with cited authorities and the wider finance use cases.
Control: Each citation links to a library document, and the reviewer opens every one before signing.
Accountable owner: Reviewing CPA or tax attorney
Control: Models run on firm infrastructure, and client facts are limited to what the question needs.
Accountable owner: Firm risk partner
Control: Each memo records its law-as-of date, and reuse prompts a check for later guidance.
Accountable owner: Tax knowledge manager
Federal income tax questions in one practice group, with reviewers checking every citation and staff researching in parallel.
Assign these prebuilt tools to the bounded agents in Tax Research, or browse all VDF AI tools.
These sources inform the governance and evaluation approach for Tax Research. They do not certify a specific deployment.
Written by VDF AI Editorial Team. Last reviewed 23 October 2026.
Answers for CPA firm and corporate tax professionals evaluating this workflow's data, controls, measures, and operating boundaries.
Talk to an expertNot on its own. Substantial authority is weighed using sources Treasury lists, such as the Code, regulations, rulings, cases and committee reports, and the regulation says professional opinions and treatises are not authority. An AI memo is worth only the authorities it points to, which a professional must read.
Circular 230 does not mention AI, but section 10.37 binds whoever gives the written advice: reasonable assumptions, reasonable efforts to find the facts, law related to those facts and no reliance on the chance of escaping audit. Adopting an unchecked draft does not shift that duty.
Research on public law needs no client data. Once return information enters a prompt, sharing it with an outside party that analyses or applies tax law generally needs the taxpayer's consent. Running models on firm servers avoids that disclosure; confirm the route with counsel.
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