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Best AI for data extraction from documents (Oct 2026)

As of Oct 2026, the highest reported score on Legal Benchmarks: Data Extraction is Claude Opus 5.5 (Anthropic) at 76.7%, per Legal Benchmarks.

Results from published AI leaderboards. Compare models within each benchmark; scores from different tests aren’t directly comparable. How we collect these results

What this benchmark tells you

  • How often a model completes lawyer-written data extraction tasks on native source documents with every applicable criterion met, in both of two attempts.
  • How many individual criteria it meets, its form score and its cost per task, as published.

What it doesn’t tell you

  • The tasks are legal documents, so results on invoices, receipts, forms or interview notes may differ.
  • It does not tell you how a model handles your file formats or scan quality; test on a sample of your own documents.

Prompts for data extraction from documents

Run the same prompt on your own material with two models and compare the results.

Questions people ask

Which AI has the highest reported score for data extraction from documents?

As of Oct 2026, the highest reported score on Legal Benchmarks: Data Extraction is Claude Opus 5.5 (Anthropic) at 76.7%, per Legal Benchmarks.

How recent are these results?

Legal Benchmarks: Data Extraction: leaderboard dated Oct 2026; we last checked it on 21 Oct 2026.

What does the top-scoring model cost to run on these tests?

On Legal Benchmarks: Data Extraction, Claude Opus 5.5 costs $2.71 (cost per task), as published by Legal Benchmarks. That is API cost on the benchmark’s own tasks, not a subscription price.

Who runs Legal Benchmarks: Data Extraction?

Legal Benchmarks: Data Extraction is run by Legal Benchmarks. ChatJudge does not run the tests; we copy the published scores with a link to the source.

What don't these benchmarks tell you about data extraction from documents?

The tasks are legal documents, so results on invoices, receipts, forms or interview notes may differ. It does not tell you how a model handles your file formats or scan quality; test on a sample of your own documents.