R&D tax credit documentation: what to keep, and how it doubles as a records inventory

What R&D credit documentation needs to show

R&D tax credit documentation needs to connect each dollar claimed to a specific project and to evidence that the work was technical, faced real uncertainty and was tested, and records made while the work happened are generally more persuasive than reconstructions written later. In practice that means a project list, design and specification documents, tickets and code reviews, test results, and payroll allocations backed by a written method.

The detail requested on the return itself has grown. Form 6765 has asked for more project-level detail in recent revisions, and which parts apply depends on the filer and the tax year. Read the current Form 6765 and its instructions on irs.gov before you scope the year's study, and agree the approach with the client's tax adviser.

This is general information, not legal, tax or financial advice. Confirm with your own counsel, tax adviser or professional body before acting.

Before you start: what to have in hand

• The prior-year credit study, if there is one, and the workpapers behind it.
• A payroll register by employee and role for the year.
• Read-only or screen-share access to where engineering work is tracked: issue trackers such as Jira, code hosts such as GitHub or GitLab, design and document repositories, and test or lab logs.
• Contracts for any outside research, development or engineering work.
• A named technical lead at the client who can explain each project in plain language.

How to build the documentation file, step by step

1. Start from the current form and instructions. Note which sections and which project-level details apply for the client's tax year before you collect anything.
2. List the business components. Name each product, process, software module, formula or technique the team worked on, in the client's own words, one line each with an owner and dates.
3. Record the uncertainty for each component. Pull the design document, specification or architecture decision record that shows what the team did not know at the start, whether about capability, method or design.
4. Capture the experimentation trail. Link the epics and tickets, pull requests and code reviews, test plans, failed approaches and prototype iterations that show alternatives being evaluated. Export ticket lists with created and resolved dates rather than relying on screenshots.
5. Allocate wages with a stated method. Tie time to components using time tracking, ticket assignment or structured interviews, and write the method down so a reviewer can follow it.
6. Document supplies and contract research. Keep invoices and the contracts themselves, including the clauses that say who owns the results of outside work.
7. Index where everything lives. For each record type, note the system, the years it covers and who can export it, and keep the index with the return.

Step 7 is the one most studies skip, and it is the one that pays twice.

Common documentation mistakes

The last row matters for the credit file and for anything the company might later license. The Copyright Office's circular on works made for hire explains that the employer owns work its employees prepare within the scope of their jobs, while a commissioned work counts as made for hire only in specific statutory categories and with a signed written agreement. Code, designs or test suites built by outside developers therefore need an assignment clause before anyone treats them as the company's own.

How the same records point to a data licensing candidate

The index from step 7 is most of a metadata-only systems inventory: which systems exist, how many years they cover and who can export them. That is close to what a company works through in SourceX's data inventory step, and building it never requires moving or describing the content itself.

It can also tell the client something new. AI developers building agents that write, review and test software need records of real engineering work with the decisions and outcomes attached. The Copyright Office's pre-publication report on generative AI training notes that model performance depends heavily on the quality of training data, and years of ticketed, reviewed and tested engineering work is a detailed account of how software actually gets built.

A strong engineering history is necessary but not sufficient. SourceX also looks for a US company with 50+ full-time employees at peak (contractors excluded), a track record of several years, clear rights over the material and a senior sponsor, whether the owner, CEO, CFO or another authorized representative, who wants to proceed. The who qualifies page has the detail, and the company fit checker gives a preliminary, non-binding read with no contact details required.

Keep the credit work and the introduction separate

A credit study is confidential client work. If your firm also prepares the client's return, rules on using and disclosing tax return information, and your own confidentiality duties, may limit what from the study can be used for another purpose, so check with your compliance lead first. CPA firms also need to clear the commission and referral-fee rules described on the page for CPA firm advisory partners.

The safe pattern is short: ask the owner whether they want to hear about licensing, disclose any referral relationship, and let the company describe its own systems to SourceX. Your role is the permissioned introduction; nothing from the credit file leaves your hands. The data inventory builder helps the company list its own systems and years.

Owners often ask how a license would sit beside the credit and their other funding. Two pages help: non-dilutive capital options for established companies, and, if the company has a credit facility, whether a lender must consent to a data license.

Illustrative example

Illustrative: a fictional 140-person maker of warehouse control software hires a credit consultant each spring. Following step 7, the consultant notes that ticket history runs back nine years, pull request reviews go back seven, and design records sit in a wiki maintained by staff engineers. One module was built by contract developers under agreements that assign their work to the company.

At the close-out meeting, the consultant tells the CFO that the same engineering history might interest AI developers, mentions the firm's referral relationship and asks whether the owner would like an introduction. The owner agrees, applies through the consultant's referral link and completes the data inventory directly with SourceX. The consultant sends nothing from the credit file.

Next step

Add a system-and-years index to this season's credit studies. When a client's engineering history runs deep and the owner is interested, register as a partner and make a permissioned introduction, or point the owner to sourcex.si/apply.