Waafir
Dealtech Glossary

What Is a Data Room Index?

A data room index is the organised structure of folders and documents in a virtual data room — effectively the table of contents that lets a reviewer find anything quickly. A good index mirrors the diligence checklist, so each request a counterparty makes maps to a folder, and an AI data room can generate that structure automatically from the documents themselves.

This page defines the index and shows a standard structure.

What is a data room index?

A data room index is the folder hierarchy and ordering that organises the documents in a room. It is the difference between a navigable disclosure set and an undifferentiated pile of files. The index is usually numbered, so a folder can be referenced precisely (for example, "see 3.2, the audited statements"), and it typically follows the categories a reviewer's diligence covers.

How should you structure a data room?

Structure it by the categories a reviewer's diligence follows, numbered for easy reference. A standard index:

  1. Corporate — incorporation, cap table, board and shareholder agreements.
  2. Financial — audited statements, management accounts, projections.
  3. Commercial — material contracts, customer and supplier agreements.
  4. Legal — litigation, IP, regulatory and compliance records.
  5. People — org chart, key employment agreements, option plans.
  6. Technology and data — architecture, security, data-protection records.

Each top-level folder is numbered and sub-divided as the set grows. The aim is that a reviewer can predict where any document lives without searching.

Can AI generate a data room index automatically?

Yes. An AI data room reads the uploaded documents, identifies what each one is, and proposes a clean, numbered index — so you confirm a structure rather than building it by hand. In Waafir, this happens automatically as documents are uploaded; the AI organisation agent proposes the folder structure and you adjust it. See AI Virtual Data Room for the full workforce.

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