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Aipedia: Tax advisers

AI tax research and fake case law

AI chatbots can speed up tax research, but they invent or misdescribe cases, so every authority must be checked against a primary source before use. Tribunals have already seen fake tax cases, and advice built on them is likely to be hard to defend.

In short

Generative AI tools produce fluent answers on tax law, complete with case names and section numbers that may not exist. In Harber v HMRC (2023) a taxpayer cited nine First-tier Tribunal decisions that turned out to be AI-generated. In Zzaman v HMRC (2025) AI-prepared citations did not support the points made. The PCRT AI guidance (para 3.4) tells members to treat output like a junior colleague's draft and confirm that case law and legislation exist. Advice resting on wrong law is a classic negligence claim, which PI usually covers subject to the wording.

How tax advisers use AI for research

Advisers use chatbots to summarise a relief, find the section that governs a point, list cases on a technical issue or explain an HMRC manual paragraph. The answer arrives in seconds, in confident prose, often with citations. The difficulty is that a language model predicts plausible text. It can produce a case name, a neutral citation and a quotation that look real and are not, or attach a real case to a proposition it does not support.

What the tribunals found

In Harber v HMRC [2023] UKFTT 1007 (TC) an unrepresented taxpayer appealing a CGT failure-to-notify penalty relied on nine FTT decisions. None were genuine, and the Tribunal found they had been generated by AI (para 21). It said fake citations "promote cynicism" about judicial precedent and waste time and public money (para 24). The appeal was dismissed.

In Zzaman v HMRC [2025] UKFTT 539 (TC), a High Income Child Benefit Charge appeal, the statement of case had been prepared with AI and the cited authorities did not support the propositions. The Tribunal said this "highlights the dangers of reliance on AI tools without human checks" and that for hallucination "There is no reliable way to stop this" (para 29).

Both taxpayers were unrepresented. A professional who made the same error would be judged by a higher standard.

The duties that apply

What can go wrong

Illustrative scenario: a client asks whether a payment qualifies for a particular relief. The adviser asks a chatbot, which confirms it does and quotes two tribunal decisions. The adviser includes the conclusion in a short email without opening either decision. One case does not exist and the other decided the opposite. HMRC opens an enquiry, denies the relief and charges a penalty. The client says they acted on the email and claims the tax, penalty and costs from the adviser.

Quieter versions are more common: a rate or threshold that has since changed, a repealed provision quoted as current, or an HMRC manual paragraph paraphrased wrongly.

How PI usually responds

A claim that advice was wrong in law is the core risk that tax advisers' PI is designed for. The CIOT/ATT PII Regulations require cover for all civil liability from tax services (4.1(b)), so the use of AI would not usually be the issue; the question is whether the adviser fell below the standard of a reasonably competent tax adviser. After Harber and the PCRT guidance, failing to check that an authority exists will be hard to defend. Tax that was always payable is not usually a recoverable loss, but penalties, interest and costs may be, depending on the facts and the wording. See AI hallucination liability and tax advice PI claims.

Practical controls

  1. Never cite a case or section you have not opened on an official source.
  2. Use AI to find leads, then verify on legislation and case law databases.
  3. Check the date: confirm rates, thresholds and reliefs for the relevant tax year.
  4. Record the prompt, the output and what you checked.
  5. Train staff that a confident answer is not a verified one.

Related guides: AI-drafted tribunal submissions and AI-drafted advice reports. Back to the AI in tax advice hub.

How Apex helps

Apex arranges PI for tax advisers. A broker can check how your policy responds to technical advice errors and whether your research process is fairly described to insurers.

Sources

Frequently asked

Can I use AI for tax research at all?

Yes. The PCRT AI guidance accepts AI use but says output should be treated like a junior colleague's draft. Use it to find leads and summarise, then verify every case, section, rate and threshold against an official source before advising.

Were the advisers in Harber and Zzaman professionals?

No. Both taxpayers were unrepresented. The tribunals still criticised the use of unchecked AI citations. A professional adviser making the same mistake would be judged against the standard of a reasonably competent tax adviser, which is higher.

Will PI pay if my advice relied on a fake case?

Usually PI responds to negligence claims regardless of the tool involved, subject to the policy terms. The claim may be hard to defend, and losses such as penalties and costs may be recoverable, while tax that was always due usually is not.

Check your PI covers how you use AI

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Apex Insurance Brokers Limited is authorised and regulated by the Financial Conduct Authority. Registered in England and Wales, company number 07014570. This page is general information about how AI is used in the profession and how insurance may respond. It is not legal, regulatory or insurance advice on your circumstances, and it does not guarantee that cover will be available or on what terms.