AI Document Unitization
Vision language models identify logical boundaries, extract metadata, and split combined PDFs with zero data retention.
The future of document unitization and LDD has arrived.
Split large PDFs into individual documents using AI-powered boundary detection. Automated Bates capture and load file generation — ready for Relativity, Everlaw, or any document review platform.

From boundary detection to review-ready load files, every part of the workflow is handled in one isolated run.
Vision language models identify logical boundaries, extract metadata, and split combined PDFs with zero data retention.
Every deliverable includes a complete audit log: a verifiable record of data ingress, processing, and egress.
Extract and reconcile Bates numbers while capturing headers, properties, and attachment relationships.
Fresh storage, networks, and virtual machines are created for every job to prevent data co-mingling.
Generate Concordance DAT files, Opticon OPT cross-references, and single-page TIFFs for your review platform.
Process thousands of pages per hour with models optimized for high-volume document analysis.
Use our interactive calculator to get a real-time estimate for processing your documents. Adjust the sliders and select your required services.
Total Pages
500
A$0.09 per page
500
Metadata Capture
100
A$0.38 per email
100
Includes Bates Capture & PDF Conversion
Document Unitization
A$45.00
Metadata Capture
A$37.50
A$127.50 (minimum)
Estimates are based on standard processing. For complex projects, contact our sales team for a custom quote.
Three steps · zero shared infrastructure
From encrypted intake to review-ready output, your documents move through one controlled, auditable workflow.
Send one PDF or a full production set over an encrypted connection. Files enter a fresh, isolated job environment.
A private network, bucket, VM, and service identity are created for that job alone, then destroyed after delivery. The audit log records every boundary.
Receive unitized files, metadata, and load files in the format your review platform expects — ready to verify and import.
Get answers to common questions about UnitizeAI document analysis.
Unitization is the process of breaking down long, combined documents into logical, manageable units, sections, and individual documents. Our airgapped AI model identifies natural document boundaries and captures metadata (if requested) to ultimately provide an updated deliverable that is easier to track, manage, review, code, and produce if needed.