Financial documents and records

Financial statements, general ledgers, reconciliations, tax workpapers, invoices, bank statements and filings.

Domain and enterpriseUpdated
SpecificationWhat buyers and sellers agree on
Measured in
Documents, entities and years.
Who buys
Finance and accounting AI vendors, document AI companies and labs.
Where it comes from
Accounting firms, bookkeepers, fintechs, lenders and corporate finance teams.
Rights to clear
Client engagement letters, professional confidentiality rules, GLBA for financial institutions.
Privacy
Account numbers, tax IDs, names and addresses removed; client identities masked.
Pricing signal
Priced on document variety, labels and rights clarity.
In short
  • Finance AI needs real statements, ledgers, reconciliations and filings to learn accounting judgment.
  • Accounting and advisory firms hold large archives, but most of it belongs to clients and is confidential.
  • Financial institutions face Gramm-Leach-Bliley Act limits on sharing customer financial information.
  • Account numbers are always removed, and many deals use only firm-owned templates and anonymized workpapers.

What makes financial data useful

Real reconciliations with the adjustments a professional made, statements with their supporting ledgers, and documents paired with how they were coded in the books. These show judgment that synthetic data cannot.

The confidentiality problem

Professional firms owe confidentiality to clients, and engagement letters rarely allow licensing client material. Financial institutions are subject to the Gramm-Leach-Bliley Act's limits on sharing customer financial information. The practical route is often firm-owned material (templates, methodology, training cases) plus client material only where clients agree and data is de-identified.

Questions

Can an accounting firm sell client workpapers?

Not without client consent and de-identification. Professional confidentiality rules and engagement letters apply. Many firms license internal training material instead.

Related guides

Sources

  1. Frankfurt Kurnit Klein & Selz: Selling company data for AI training, what to know before you say yes

Need financial documents and records, or hold it?

Tell us what you need or what you hold. We check rights and privacy first, then introduce vetted counterparties. You license directly with each other.

  • We reply to every enquiry within two working days.
  • No upfront fees for sellers
  • We never hold your raw data