document-review

You can automate document review for PDFs using a structured six-phase pipeline that extracts claims, verifies facts, and embeds issues as annotations. This workflow generates an annotated output document with a traceable audit trail of all changes.

Yes, the document review workflow supports PDF, DOCX, PPTX, and XLSX file formats. It structures sections and extracts claims consistently across these typical business documents to produce annotated outputs with tracked changes.

Issues are embedded as annotations during the document review by generating comments and tracked changes directly within the file. This produces an annotated output with a verifiable audit trail and explicit provenance tracking.

Extracting and verifying claims in business documents is best handled through a structured pipeline that isolates claims, fact-checks them, and logs issues. This enforces provenance with mandatory annotated downloads and explicit evidence tracking.

Processing XLSX files for annotation relies on the openpyxl library, while PDF processing requires PyMuPDF. These dependencies enable the workflow to parse inputs and embed tracked changes across different document formats.

An automated document review workflow is not suitable if your files require external data sources for fact-checking that cannot be embedded in the document itself. The workflow enforces provenance rules and does not expose internal file paths.