01
Select the governing document
Fix the version, jurisdiction, activity, entity, product and effective date before extraction begins.
A search result is not a controlled document scope.
Legal text to accountable work
Vixio Requirements Extraction vs Atlas.
Requirements extraction is not complete when software highlights a passage. The buyer needs an exact route from governing text through applicability, ownership, implementation, evidence and review.
Vixio turns suggested passages into obligation records. Atlas carries the accepted requirement further: market and licence context, applicability, controls, owners, evidence, relationships and completed decisions. For end-to-end compliance work, Atlas is the stronger operating model.
Public product information reviewed
Requirement extraction chain
Do not lose the legal text between discovery and delivery.
Public product information refreshed 20 August 2026. Use one difficult source document and retain both systems' complete outputs.
02
Preserve the exact passage
Keep the operative text, definitions, exceptions, cross-references and source location together.
The reviewer must be able to return to the legal context.
03
Draft the requirement
Separate each obligation, prohibition, condition, threshold, deadline and reporting duty.
One broad summary can hide several independently owned duties.
04
Decide applicability
Record assumptions, affected products and entities, reviewer, unknowns and the resulting decision.
Extracted text is not automatically applicable to the business.
05
Assign implementation
Connect the accepted obligation to an owner, control, deadline, action and exception process.
A requirement without an accountable response remains research.
06
Retain evidence and review
Attach implementation and testing evidence, preserve approval history and schedule reassessment.
The final record must survive a change, audit or handover.
Product emphasis
Compare the extraction and the governed record around it.
Atlas
Atlas publicly supports governed records for requirements, obligations, controls, licences, evidence, actions and related change with owners, review dates, applicability and approval history.
Its comparison case begins with the market and licence context, then tests how the accepted requirement survives implementation and later change.
Vixio
Vixio publicly states that Requirements Extraction filters relevant documents, highlights AI-generated suggested passages and lets users create and tag obligations.
The product page also describes an obligations collection and links from an obligation to business documents or tasks.
Customer evidence
What the results prove—and what they do not.
Each result applies to the named customer and workflow. It is not a controlled comparison or a universal product score.
Atlas · market research and reporting
The published Mozzart customer story reports a 75% reduction in market-research and reporting time.
This is one customer and one measured workflow. It does not establish a universal advantage in monitoring, technical compliance or task management.
Review the published evidenceVixio extraction · no public quantified result
The reviewed product page establishes extraction and obligation-workflow scope but did not provide a directly comparable measured customer result for the complete document-to-evidence chain.
Request passage recall, false-positive review, obligation quality, completion effort and change-maintenance evidence.
Extraction comparison · no public controlled result
No public controlled test was found using the same difficult document, reviewers, business assumptions and downstream work in both products.
Retain the source passage, accepted obligation, rejected suggestions and final operating record from each proof.
Why Atlas
Research becomes completed compliance work.
For requirements work, Atlas adds global market and licence context, technical-compliance implementation, workflow connections, secure AI and governed relationships around the extracted obligation.
Published customer evidence
Mozzart reports 75% less market-research and reporting time.
That result covers one Atlas workflow. It is not a universal accuracy or productivity claim.
Read the case studyInspect Atlas before the extraction demo
Bring your own document, records and scoring model.
Atlas publishes the downstream record model and buyer tools needed to test more than passage highlighting. Use them to preserve the source, review decision, accountable implementation and evidence from one difficult requirement.
Public product route
Governed requirement records
Inspect the Atlas model for requirements, obligations, controls, licences, evidence, actions and related change, including ownership and review history.
- What this proves
- Atlas publicly defines the operating record that should exist after a passage has been found and accepted.
- Validate live
- Start from one difficult clause, record applicability and assumptions, map an owner and control, attach evidence and complete separate approval.
Downloadable workbook
Atlas register import template
Download the workbook intended for preparing representative register data before an Atlas evaluation or migration discussion.
- What this proves
- A buyer can bring structured records into the proof instead of relying only on vendor-prepared examples.
- Validate live
- Import representative rows and test required fields, duplicate handling, validation errors, relationships and round-trip export.
Downloadable buyer tool
Extraction and evidence RFP
Use the public RFP to require governing material, versions, applicability, uncertainty, ownership, workflow, evidence and reusable export.
- What this proves
- The extraction decision can separate highlighted text from an accepted and implemented requirement.
- Validate live
- Give both suppliers the same source document and require retained passages, rejected suggestions, human edits, final records and exclusions.
Downloadable buyer tool
Weighted extraction scenario
Use the evaluation scorecard to score currentness, traceability, workflow, technical depth, usability, export and exit alongside extraction quality.
- What this proves
- A buyer can record the evidence location and implementation dependency behind each score.
- Validate live
- Measure review effort, false positives, missed duties, downstream completion and the ability to maintain the record after an amendment.
Failure test
Use the clauses extraction systems usually struggle with.
Defined terms that change the apparent scope
Exceptions and exemptions in another section
Several dates for publication, commencement and transition
Cross-references to standards or secondary instruments
One provision creating several independently owned duties
A later amendment that changes only part of the requirement
Evidence and disclosure
Claims need proof.
Product pages describe scope. The buyer’s own case must prove accuracy, usability and fit.
Atlas platformAtlas compliance managementAtlas pricingAtlas customer evidenceAtlas corrections policyAtlas compliance management
Atlas publishes this analysis and is not affiliated with, sponsored by or endorsed by the named vendors. No vendor paid for placement. Customer reports are identified as reports; unknown information remains unknown. Corrections follow the corrections policy.
Related Vixio comparisons
Continue with the next relevant decision.
The broad Atlas–Vixio page owns the platform decision. These three routes cover the closest product or workflow questions.
Questions buyers ask
Key questions, answered.
What does Vixio Requirements Extraction do?
Vixio states that the product identifies relevant documents, highlights AI-generated suggested requirements, lets users create and tag obligations, and links those obligations to business documents or tasks.
How does Atlas compare for requirements extraction?
Atlas combines requirement and market context with applicability, owners, controls, evidence, review and related change. The buyer should test how both products preserve the exact legal passage, interpretation boundary and completed operating record.
Is a highlighted legal passage already a compliance obligation?
No. The passage still needs scope, applicability, entity and product assumptions, effective date, reviewer, obligation wording, owner and a decision about the work required.
Can AI-generated requirements be accepted without review?
No. Suggested extraction should be treated as a review input. A qualified person must validate the governing text, omissions, interpretation, applicability and resulting action.
How should requirements-extraction software be tested?
Use one difficult document with definitions, exceptions and multiple effective dates. Compare passage recall, obligation boundaries, citations, duplicate handling, review, ownership, evidence and export.
Bring one difficult source document
Test the full requirement record in Atlas.
Use the same document from your Vixio evaluation. We will show scope, applicability, ownership, evidence, review and the relationships around the accepted requirement.