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Long-Context Extraction

Extract structured data from long documents like contracts, reports, and transcripts

extractionquality trackUpdated 2026-04-13

Process lengthy documents (50-500 pages) to extract specific data points, clauses, entities, and relationships into structured formats. Requires large context windows and precise instruction following.

The job to be done

Ingest a full document (contract, report, transcript), understand its structure, and extract specific fields into JSON — dates, parties, obligations, financial figures, risk factors.

Key tradeoffs

Context window size is non-negotiable for long documents. Structured output support (JSON mode) dramatically reduces post-processing. Cost scales linearly with document length.

When to switch models

Use a frontier model with 200K+ context for critical extractions. For routine documents with known templates, a mid-tier model with JSON mode saves 60-80% on cost.

Related guides

Frequently asked questions

What if my document exceeds the context window?

Use chunking with overlap (2-3 page overlap between chunks). Process each chunk independently, then merge and deduplicate extracted entities.

How reliable is structured extraction?

With JSON mode enabled, extraction accuracy for well-defined fields is typically 90-95%. Add validation rules in your application to catch and flag low-confidence extractions.

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