Comparison and Redliningfor AI native legal teams.
Comparison and Redlining
for AI native legal teams.
- .DOCX OpenXML standard
- .DOC Binary format (legacy)
- .PDF(NATIVE) Digital PDF
- .PDF(SCAN) Scanned pages, read with OCR
- .DOCX For lawyers and agents to edit
- .PDF(CHANGED PAGES) For efficient lawyer review
- .MD For quick, token-efficient agent review
- .JSON For parsing in your deterministic apps
- VS Markdown
- .docx
- VS Markdown
- .docx
- Word docs to PDF docs
- PDF docs to PDF docs
- Word docs to Word docs
- Scanned PDF docs (OCR capabilities)
- PDF with changed-pages-only
- PDF with the full document
- Word with tracked changes
- … with a changes summary page at the end
- Changes to words and characters within a paragraph
- Insertions or deletions of whole paragraphs
- Numbering changes
- Changes to text within a table cell
- Insertions or deletions of cells, rows, or columns
- Numbering changes
- Changes to the number or letter of the referenced provision
- Linking preserved
- Formatting preserved
- Changes to name, number, or page number of sections
- Linking preserved
- Formatting preserved
- Changes to words and characters
- Insertion or deletion of elements (e.g., page numbers)
- Changes to text within a footnote or endnote
- Insertion or deletion of whole footnotes or endnotes
- ### Your data, your control Documents stay in your workspace until you delete them, admins can set automatic deletion for inactive projects, and nothing you upload is ever used to train a model.
- ### SOC 2 Type 2 Our AWS architecture and operational controls have been independently examined under SOC 2 Type 2, so our security controls are verified by a third party, not asserted by us.
- ### Independent penetration testing
Say “redline this” in your AI.
Claude
ChatGPT
Gemini
Grok
Any file in. Any format out.
The Rust-based engine reads whatever lawyers send and returns the redline in the format you ask for. Lawyers get Word or PDF. Agents get Markdown. Your code gets JSON.
.DOCXOpenXML standard.DOCBinary format (legacy).PDF (NATIVE)Digital PDF.PDF (SCAN)Scanned pages, read with OCR.DOCXLawyers and agents edit.PDFLawyers review.PDF (CHANGED PAGES)Efficient lawyer review.MDToken-efficient agent review.JSONDeterministic apps parseDIFFENGINEcompiled Rust core
Input
DIFF ENGINEcompiled Rust core
Output
One comparison in the middle · every output derived from the same diff
Agents read Markdown redlines
in one step.We handed 300 agents the same 100 production redlines as Markdown, Word, and PDF and asked each to summarize the changes. Markdown was faster than Word in 99 of the 100 and faster than PDF in all 100, and it typically took one tool call where Word took four and PDF took nine.
Time to summarize a redline
average seconds per redline
0s20s40s60s80s
Under 25 KB
Under 25 KB
MarkdownVS Markdown
.docx.docx
PDFPDF
16.9s
35.1s
45.6s
25–75 KB
25–75 KB
MarkdownVS Markdown
.docx.docx
PDFPDF
20.5s
40.4s
61.1s
Over 75 KB
Over 75 KB
MarkdownVS Markdown
.docx.docx
PDFPDF
30.2s
45.4s
71.0s
AI tokens to summarize a redline
average tokens per redline
0200k400k600k800k
Under 25 KB
Under 25 KB
MarkdownVS Markdown
.docx.docx
PDFPDF
130k
317k
497k
25–75 KB
25–75 KB
MarkdownVS Markdown
.docx.docx
PDFPDF
166k
336k
642k
Over 75 KB
Over 75 KB
MarkdownVS Markdown
.docx.docx
PDFPDF
311k
370k
705k
Method: 100 comparisons drawn at random from redlines created through the public API, each delivered in all three formats from the same comparison. One independent Claude Opus 5 agent per redline per format, given the same instruction. Groups are by Markdown file size; values are means within each group. Run September 2026.
“Version Story was quick to integrate, and our lawyers were impressed with the quality of the redlines.”
It stood out from the other solutions we evaluated.
David StewartCTO, Blackletter
Precision in
Every ElementVersion Story redlines Word and PDF to the highest standards of precision — down to the footnote, the cross-reference, and the scanned page.
Upload Formats
Export Formats
Paragraphs
Tables
Section Cross References
Table of Contents
Headers & Footers
Footnotes & Endnotes
Security your risk committee will sign off on.
Law firms hand us their most sensitive drafts. The controls are the same whether the request comes from a lawyer, an API key, or an agent.
Read the full security overview
Loved by lawyers
“I switched from Litera and never looked back”
The sheer volume of edits on a complex deal makes keeping track a pain. With Version Story it's painless. I can visually see the development of not just a single file, but the entire packet.
Drew JenkinsMaple Bridge Law
“I switched from Litera and never looked back”
The sheer volume of edits on a complex deal makes keeping track a pain. With Version Story it's painless. I can visually see the development of not just a single file, but the entire packet.
Drew Jenkins · Maple Bridge Law
“Game-changing to my work”
Version Story is a great product. It helps me accomplish my goals in the legal department with speed and precision.
Kyle Canchola · Partner, Vector Legal
“The best redlining software”
Version Story is the best redlining software I have used. It has proven invaluable as my practice and law firm have rapidly grown.
GuyLaine Charles · Charles Law PLLC
“It saves hours of headache”
Version Story allows me to compare dozens of documents all at once. It saves me hours of work and headache each time I use it.
Mitch Khurin · Hamilton Zanze
Deterministic tools
for every file formatCompare
Our rules-based redline engine, written in Rust, guarantees the precision you need to harness LLM based workflows, and scales to thousands of .docx, .doc, and .pdf files.
v1v2Compare (.pdf)Compare (.md)Compare (.json)
Compare (.pdf)
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Track
Every draft of a document, one history. Track layers each turn of a negotiation into a single tracked-changes document, attributing every surviving change to the version and author that introduced it. Blame for contracts, built the same deterministic way.
v1v2v3History (.pdf)History (.md)History (.json)
History (.pdf)
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Merge
Three reviewers, three marked-up copies, one draft. Merge reconciles parallel revisions of the same base into a single tracked-changes document, attributes each edit to its source, and flags the places where reviewers overwrote each other instead of silently picking a winner.
vAvBvCMerge (.pdf)Merge (.md)Merge (.json)
Merge (.pdf)
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See it in action