For as long as most of us have practiced, tax research meant the same routine, type a question into Checkpoint or CCH, sift through results, and cross reference until you found something solid enough to put your name on. That routine is changing fast. Tax Notes recently announced a partnership with Blue J to build a generative AI powered tax research platform, joining a growing list of tools racing to make research faster, more conversational, and less like flipping through a digital filing cabinet.
This is not a novelty anymore. Checkpoint Edge, CCH AnswerConnect, and now this new platform are all betting that practitioners want a research assistant, not just a research database. And they are probably right. Ask a question in plain language, get a synthesized answer with citations attached, in a fraction of the time it used to take. For a firm charging by value instead of by hour, that speed matters.
But speed without discipline is how firms end up citing something that does not exist, or worse, applying a position that sounds right but misses a circuit split or a recent amendment. Generative tools are confident by design. They will hand you an answer with total certainty whether or not that answer is correct, which means the burden of verification has not gone away, it has just moved.
So what should a firm actually do with this? Start by treating every AI-generated citation as a lead, not a conclusion. Someone on the team pulls the actual primary source, reads it, and confirms it says what the tool claims it says, every single time, no exceptions. Build that into your workflow now, before the habit of trusting the first answer sets in.
Second, know where these tools tend to fail. Novel fact patterns, recent legislative changes not yet fully indexed, and areas with active circuit splits are where AI research is weakest and where a wrong answer is most expensive. Reserve those questions for your most experienced researcher, and use the AI tool for the more routine ground-clearing work instead.
Third, remember that Circular 230 due diligence obligations apply no matter what tool produced your research. If a position turns out to be wrong, an AI platform is not going to sit across from a client or an examiner and explain what happened. You are. Build expectations, SOPs, and guidelines for your practice now to define what it means to compliantly use these tools and what the verification process should be before documents are relied upon by the team, clients, or other external parties.
Firms that get ahead of this will use these platforms to free up hours for advisory work and judgment calls that actually require a human. Firms that skip the verification step are trading a few saved minutes for a risk that is not worth taking, but at the end of the day, adoption is non-negotiable for long-term survival.
Dr. Christine Gervais is a licensed CPA, using her skills to help businesses grow and achieve their fullest potential. Christine has a Master’s degree in accounting from Southern New Hampshire University in addition to holding her CPA license for over a decade. Notably, Christine is a nationally recognized speaker providing education to other CPAs on how to best serve clients as well as instruction on a wide variety of topics for business owners on how to maximize success. Christine prides herself on the value she can bring to clients with her extensive tax knowledge and provides strategic, forward-thinking financial strategies to help clients grow. When not behind her desk, you can find Christine spending quality time with her daughter and stepson or tending to the family’s excessively loved farm animals.
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