AI in Tax Resolution and Professional Review | PitBullTax
Tax resolution work generates a steady stream of research questions, document requests, client explanations, and written responses. AI can help with parts of that work, particularly when the assignment is narrow and the practitioner already knows what a useful result should contain.
The most workable starting point is a defined task with an identifiable reviewer. For example, a practitioner might use AI to produce a first draft of a status update from an approved case summary. The practitioner then checks the wording against the file before sending it. That approach makes the purpose, evidence, and responsibility visible.
Choose tasks with a clear review path
Begin with an inventory of recurring writing tasks. Look for work where the facts have already been established but the explanation still takes time: describing requested documents, outlining a meeting agenda, simplifying an approved explanation, or organizing a list of follow-up questions.
For each proposed use, decide how a reviewer will identify a good result. A document request should list only relevant records. A status update should accurately describe the stage of the case. A research outline should identify issues to investigate without presenting unverified authority as settled law.
Start with one workflow and a small set of examples. Reviewing actual drafts will show whether the tool helps your team produce clearer work or merely shifts time from writing to correcting.
Draft from verified facts
A focused drafting instruction should identify the audience, purpose, verified facts, and requested action. It should also identify what remains unknown. If the next IRS response date has not been established, the draft should not invent one to make the message feel complete.
For example, ask for a brief explanation of why updated bank statements are needed, using a fact pattern that has been approved for the tool. Review whether the draft explains the request clearly, avoids unnecessary personal detail, and leaves the client with a specific next step.
Keep the underlying facts separate from suggested language. That distinction makes it easier to correct a sentence without accidentally changing the practitioner’s assessment of the case.
Use research assistance to frame questions
AI may help organize a research task by turning a broad issue into smaller questions. A practitioner investigating a collection issue might ask which procedural concepts require review, then consult the relevant current authorities directly.
The IRS Office of Professional Responsibility’s introductory AI guidance emphasizes verification of generated factual and legal material, including citations. A convincing explanation is not evidence that an authority exists or applies to the client’s circumstances.
Build a research worksheet around that principle. Record the issue, the authority actually reviewed, its date or version, the relevant facts, and the practitioner’s conclusion. If a generated answer offers no usable source, treat the research as unfinished.
Keep responsibility with the practitioner
Circular 230 addresses diligence, competence, and standards for written advice. A firm using AI still needs a practitioner who can evaluate the work in context. The review should consider whether the draft relies on reasonable facts and whether the conclusion follows from applicable authority.
Give reviewers enough time and information to perform that task. A signature or approval checkbox has little value if the reviewer cannot see the underlying records. For substantive correspondence, preserve the final approved version and the evidence supporting it.
Use a short review sequence: confirm the client and periods, verify dates and amounts, check authorities, assess the conclusion, and review the requested action. Then read the message as the recipient would. Remove language that implies certainty the case does not support.
Protect information throughout the process
Choose tools through the firm’s data-security process before entering client information. Publication 4557 provides IRS guidance on safeguarding taxpayer data, including staff training and protecting stored information. The OPR AI guidance also addresses confidentiality risks when taxpayer information is entered into AI systems.
A practical implementation decision is to define which tasks may use de-identified examples and which require an approved environment. Make that instruction easy for staff to find. A new employee should not have to guess whether copying a transcript into an unfamiliar tool is acceptable.
Review the actual service terms and configuration rather than assuming every product handles information the same way. Direct questions about access, retention, and permitted use to the person responsible for evaluating the service.
Where PitBullTax fits
PitBullTax publicly describes AI assistance for email composition, customizable letters, and IRM-related inquiries. These are useful areas to explore when identifying tasks your firm wants to support with AI.
During a demonstration, bring examples of the work you intend to do. Ask how a reviewer checks the resulting draft and how the feature fits into the existing case process. Confirm the currently available functions instead of assuming that a general description covers every proposed use.
Establish a repeatable review routine
Document the task, preparer, reviewer, and final disposition of important AI-assisted work. Periodically compare the original instructions with the approved output. If staff repeatedly correct the same issue, refine the instructions or reconsider whether that task is a good fit.
Train with realistic examples of incomplete information. A useful exercise asks staff to recognize when the correct response is to request a missing document rather than produce a polished answer. That skill helps preserve the quality of the entire workflow.
Frequently asked questions
Can an AI-generated letter be sent without review?
Establish a review process appropriate to its content. Substantive tax statements, account facts, and requested actions should be checked against the case record and applicable authorities.
Is an IRM explanation the same as a final case recommendation?
No. An explanation may help research, but the practitioner must determine which provisions apply to the client and whether other authorities or facts affect the advice.
Where should a firm begin?
Choose one recurring task, define acceptable inputs, assign a reviewer, and assess the results before extending the process to other work.
Explore AI assistance in your practice
Schedule a PitBullTax demo to discuss the publicly available AI features and how they could support your firm’s drafting and research routines.
Sources
[1] IRS OPR — Introductory Guidelines for Responsible AI Use in Federal Tax Practice: https://www.irs.gov/pub/opr-taxpros/issue-number-2026-19-introductory-guidelines-for-responsible-ai-use-in-federal-tax-practice.pdf
[2] Treasury Department Circular 230: https://www.irs.gov/pub/irs-pdf/pcir230.pdf
[3] IRS Publication 4557 — Safeguarding Taxpayer Data: https://www.irs.gov/pub/irs-pdf/p4557.pdf
[4] PitBullTax — Public AI feature descriptions: https://www.pitbulltax.com/
