Tax and Accounting Software Corp. v. United States: Why "New and Innovative" Wasn't Enough to Win the R&D Tax Credit

If your team built something genuinely new, something customers had never seen before in your market, does that alone earn the R&D tax credit? A Tenth Circuit case involving a small Oklahoma software company says no, and the reasoning behind that answer is more useful than the outcome itself.

Tax and Accounting Software Corporation, known as TAASC, built and sold software to tax and accounting professionals. Between 1993 and 1994, the company developed four products and spent close to $4.3 million on the work, $1,838,756 in 1993 and $2,444,938 in 1994. TAASC claimed a research credit on those costs. The IRS disallowed it, leaving the company’s owner facing tax deficiencies of $123,764 and $192,510. He paid, then sued for a refund.

What TAASC Built

EasyACCT was an accounting program that fed data into TAASC’s own tax software, and both sides agreed it was unique in the market when it launched. Professional Tax System combined several tax prep tools into one package and was the first commercial product to allow electronic filing with both state and federal governments, while running on modest hardware. EasyTEL handled automated call routing and fax distribution on low-cost equipment. EasyMICR printed banking codes on check stock, and never caught on commercially, eventually getting folded into EasyACCT.

The district court sided with TAASC on summary judgment. The government appealed, and the case turned on two of the five statutory requirements for the credit: whether TAASC’s work involved “discovering information,” and whether it involved a genuine “process of experimentation.”

Two Arguments, Both Rejected

TAASC argued that discovering information simply meant building something new and useful, while the government argued that the standard required advancing the underlying principles of computer science itself.

The Tenth Circuit rejected both positions. Building something new and useful, by itself, did not automatically satisfy the discovery requirement. At the same time, the court also rejected the government’s view that taxpayers must advance computer science as a field. Instead, the court concluded that the statute required discovering information with value separate from the finished product itself.

Importantly, the court was interpreting the statute and regulations as they existed at the time. As later regulatory guidance evolved, the “discovery” requirement became less central than it was when this case was decided.

Neither TAASC nor the government had argued the case on those terms, so the record did not clearly establish whether TAASC had identified information separate from its software. Rather than deciding the issue outright, the Tenth Circuit sent it back for additional fact-finding.

Where the Case Actually Turned

The process of experimentation issue produced a split outcome.

On one point, TAASC prevailed. The government argued that using generally known programming techniques could never qualify as experimentation. The court disagreed, explaining that trying multiple established methods can still qualify if there is genuine uncertainty at the outset about which approach will succeed.

On the second point, however, TAASC’s position failed. The court distinguished uncertainty about how to achieve a result from uncertainty about whether the result was technically achievable at all. TAASC had acknowledged in its own court filings that it believed its objectives were technically feasible from the outset and that its programmers never questioned whether the products could be built. Those statements proved decisive in the court’s analysis of the experimentation requirement.

So the result was not a straightforward taxpayer victory or loss. The Tenth Circuit reversed the summary judgment entered in TAASC’s favor and remanded the case for further proceedings, while also rejecting the government’s stricter interpretation of the discovery requirement. The decision illustrates both the complexity of the law at the time and the different approaches courts were taking to these issues.

How the Standard Has Evolved

The government’s own interpretation of the discovery requirement was changing while this litigation was still underway.

As the opinion notes, final regulations issued in January 2001 continued to require research to exceed or refine the common knowledge of a field. By December 2001, however, the IRS had already proposed removing that language. Later regulatory developments confirmed that taxpayers do not need to demonstrate a revolutionary discovery to qualify for the credit.

While those changes do not alter the historical significance of TAASC, they do show that today’s framework differs in important respects from the one the court was applying in this case.

What This Case Teaches Businesses Today

  • New and impressive isn’t the same as legally sufficient. A product can be the first of its kind in your market and still fail the discovery requirement if you can’t point to information distinct from the product that justified the work.
  • Using known techniques doesn’t disqualify you, but not knowing if it’ll work does matter. Trying several established approaches to solve a problem can still count as experimentation. What sinks a claim is being confident from the start that the end result was achievable.
  • Be careful what you say about your own certainty. TAASC didn’t lose because the work lacked value. It lost, in part, because of how the company described its own confidence in sworn statements and briefs. Words matter as much as the work itself.

Where TaxDrone.AI Fits

TAASC’s problem wasn’t a lack of genuine technical effort, it was that the company’s own characterization of its work, in marketing language and in litigation, undercut the very uncertainty the credit requires. That’s an easy trap to fall into, especially when a business is proud of what it built and describes it that way everywhere, including in the materials that end up supporting a tax filing.

TaxDrone.AI, built by National Tax Group (NTG), helps businesses document technical uncertainty on a project-by-project basis using the type of information the IRS expects to see when evaluating an R&D tax credit claim. The objective is to help companies understand and support qualifying activities before a claim is filed.

Before You Assume "Innovative" Is Enough

Being first to market or more advanced than your competitors doesn’t automatically mean your work meets the legal test for the R&D credit. Knowing the difference, and documenting it correctly, is what makes a claim hold up.

Get your free R&D tax credit estimate to see whether your work is positioned to meet today’s standards.

FAQ

  1. Does using well-known programming methods disqualify a project from the R&D credit? Not by itself. Courts have held that trying multiple known techniques can count as experimentation, as long as it was genuinely uncertain at the outset which one would succeed.
  2. Is being uncertain about your product’s feasibility the same as being uncertain about how to build it? No, and this is a distinction that has tripped up more than one taxpayer. Courts have generally required uncertainty about whether the end result was achievable at all, not just uncertainty about which method to use.
  3. Does “discovering information” mean my product has to be groundbreaking? Not necessarily, and courts have specifically rejected the idea that you must advance the underlying science or engineering field. But simply pointing to a new, useful product isn’t enough either. You generally need to show new information with value separate from the product itself.