Yes—layout-aware parsing preserves reading order across columns, headers/footers, and section breaks so clauses and definitions don’t get scrambled. That means what you review, search, and cite matches how the document is meant to be read.

It maintains the legal structure of the document, including headings and definition blocks, so exhibits and referenced sections stay anchored in the right context. This reduces time spent reconciling mismatched sections and helps reviewers trust what they’re seeing.

Yes—reliable table extraction captures nested rows, merged cells, and alignment without you having to write fragile cleanup scripts. You can export clean Markdown or structured data that’s ready for review, analysis, or ingestion into your systems.

Auto correction loops validate the output and self-correct common scan issues like missing lines and duplicated content. This lowers manual QA effort and reduces the risk of citation or clause errors making it into downstream work product.

Yes—verifiable JSON includes page numbers and element-level location metadata for clauses, headings, and even table cells. That makes extraction defensible and easy to spot-check, with a clear trail back to the original PDF.

You can use the included metadata to flag low-confidence items and route only those sections to human review. This keeps throughput high while still meeting the accuracy standards legal teams require.