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Glossary

Document AI: What is document AI?

Document AI extracts, classifies, summarizes, and reasons over documents using machine learning, OCR, language models, and workflow rules.

Document AI is the application of machine learning to extract, classify, summarize, and reason over documents — invoices, contracts, forms, reports. It is the foundation underneath every modern contract intelligence platform: without document AI, contracts are PDFs; with it, they are queryable data.

65%
Average reduction in document review time reported by organizations using AI tools across contract review, with similar gains in document-heavy workflows like AP automation, compliance review, and legal research. Document AI is the engine; the use cases are downstream.
Industry research aggregated from Sirion, Spellbook, Axiom Law, and Gartner AP automation benchmarks 2024-2025.
TL;DR
  • Document AI = machine learning applied to documents (extract, classify, summarize, reason).
  • Modern stacks combine OCR, layout parsing, entity extraction, classification, and LLM reasoning.
  • Contract AI is one application; AP automation, compliance, and legal research are others.
  • Vallor's contract intelligence stack is built on document AI tuned for contract structure and legal terms.

How document AI works on a contract

1

Ingest the document

PDF, image, DOCX, email body — format-agnostic input.

2

OCR (if needed)

Scanned and image-based documents go through optical character recognition. Quality of OCR materially affects everything downstream.

3

Layout parsing

Identify document structure: headings, paragraphs, tables, footnotes. Plain text loses this; layout-aware parsing preserves it.

4

Entity extraction

Parties, dates, amounts, jurisdictions, governing law. The structured metadata that anchors downstream analysis.

5

Classification

What kind of document is this? Contract type, clause types, document role (original vs amendment vs side letter).

6

Reasoning and synthesis

LLM-based summarization, comparison, redlining. The layer that makes the structured data useful for human work.

How Vallor handles document ai

1
Apply contract-tuned document AI to every sourceVallor's document AI is calibrated for contracts: clause-aware, term-aware, jurisdiction-aware.
2
Preserve source citations through every layerFrom OCR through layout through extraction through reasoning, every output points back to a specific location in the source document.
3
Handle the full range of document qualityClean Word originals through scanned-and-faxed PDFs. Vallor's pipeline degrades gracefully on poor inputs and flags low-confidence extractions.
4
Route low-confidence extractions for reviewEdge cases (unusual layouts, bespoke clauses) are flagged for human review. The team confirms, and Vallor learns.

Where teams trip up

✗
Using generic document AI for contractsGeneric models handle invoices well but miss the structure of contracts. Clause-aware, term-aware document AI is materially different.
✗
Treating OCR as solvedOCR quality on scanned contracts varies enormously. Document AI accuracy is upper-bounded by OCR quality, so input handling matters.
✗
No human-in-the-loop on low-confidence outputsDocument AI handles the bulk of contracts well. Edge cases (unusual structure, language, or bespoke clauses) need human review. Mature systems route them automatically.
✗
Treating document AI as a one-time setupModels drift. New contract patterns emerge. Document AI needs continuous calibration to stay accurate.

See also

Contract data extraction Clause extraction Contract intelligence Contract RAG AI contract review

FAQ

What is the difference between document AI and OCR?

OCR converts an image of text into machine-readable text. Document AI is the broader category that includes OCR plus layout parsing, entity extraction, classification, and reasoning. OCR is one step inside document AI.

Can document AI handle scanned and faxed contracts?

Yes, but quality depends on the OCR step. Clean scans extract well; faxed-multiple-times documents extract poorly. Document AI pipelines should flag low-confidence extractions for human review.

Is document AI the same as contract AI?

Contract AI is document AI tuned for contracts: clause-aware, term-aware, jurisdiction-aware. Generic document AI works on any document type but misses the specialized structure that matters for contract work.

How accurate is modern document AI on contracts?

On standard fields in well-formatted contracts, 90%+ is common. Accuracy drops on bespoke language, unusual layouts, and poorly-scanned PDFs. Mature systems route low-confidence cases to humans.

How does Vallor use document AI?

Vallor's contract intelligence stack is built on contract-tuned document AI: clause-aware extraction, term-aware classification, source-anchored citations throughout. Every output traces back to a specific location in the source document.

Last updated: 2026-05-21. Part of Vallor's contract intelligence glossary.