OCR & AI

Automatic summaries of business documents

A summary helps you decide whether to read everything; it does not replace reading when the stakes are high.

By DocPilot team1 min read
Diagram of a summary generated from a long document

Automatic summaries are tempting: reading everything takes time. Within document AI, they are useful as long as they remain a prioritisation tool — not a substitute for a decision.

Relevant uses

  • Triaging a queue of incoming documents
  • Preparing an executive or steering committee (management view)
  • Giving a new team member an overview
  • Spotting which documents to read first before approval

Limits

  • A critical clause may be left out
  • Wording that is too general
  • Confusion between a summary and a legal opinion
  • Lower quality on illegible scans

Good practice

Summary to prioritise → extraction to structure → a human to approve. That is the chain described in limits and uses.

Frequently asked questions

When is a summary useful?
Triaging volume, preparing a meeting, getting up to speed on a file — always with the option to open the source.
Can something be approved on the basis of a summary alone?
Not for high-stakes decisions. The summary points the way; approval relies on the document and the checked record.
How is it different from a targeted question?
A summary gives an overview. A question targets a specific point with a citation — often safer when you need to act.

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