Our Commitment to Accuracy
Legal documents demand precision. A single incorrect change can have significant consequences. That’s why we’ve built the most rigorous validation system in the industry.The Accuracy Problem
Traditional document editing has risks:Our Solution
We solve these problems through multi-layer validation:Change Categorization
Every modification is categorized:✅ Requested Changes
Changes that directly match your instructions. These are expected and approved.You said: “Change Delaware to Texas” We changed: “Delaware” → “Texas” in governing law clause
✅ Derived Changes
Changes that logically follow from your instructions but weren’t explicitly stated. These are noted and approved.You said: “Make the NDA mutual” We also updated: pronouns, headings, and cross-references for consistency
⚠️ Unexpected Changes
Changes that can’t be traced to your instructions. These are flagged for review before delivery.Not requested, but found: Additional text in Section 5 Status: Flagged, pending your review
🚨 Boilerplate Detection
Generic legal text that appeared from nowhere is blocked. This is the strongest indicator of AI hallucination.Detected: Standard confidentiality boilerplate not in original Status: Blocked, not included in output
Validation Passes Explained
Pass 1: Content Accuracy
- Do changes match instructions?
- Is anything missing that was requested?
- Is anything present that wasn’t requested?
- Blocks: Unexpected or boilerplate content
Pass 2: Risk Analysis
- Are there high-risk legal changes?
- Were liability or indemnification terms modified?
- Are any changes potentially harmful?
- Flags: High-risk changes for review
Pass 3: Scope Compliance
- Did changes stay within specified sections?
- Were only targeted areas modified?
- Is the rest of the document untouched?
- Flags: Out-of-scope modifications
Pass 4: Format Integrity
- Is document structure preserved?
- Is numbering sequential?
- Are there any format artifacts?
- Blocks: Corrupt or injected formatting
Pass 5: Visual Verification
- Does the document look correct when rendered?
- Are there any visual anomalies?
- Would a human reviewer notice issues?
- Flags: Visual problems for attention
Automatic Retry
When validation fails, we don’t just report the error. We:1
Identify the Issue
What exactly went wrong? Missing content? Extra content? Wrong section?
2
Refine Approach
Adjust our process to address the specific issue.
3
Try Again
Re-apply changes with refined approach.
4
Re-validate
Run all validation passes again.
What You Can Expect
99%+ Accuracy
Requested changes are applied correctly over 99% of the time.
Zero Hallucinations
Boilerplate injection is blocked. You get what you asked for.
Full Transparency
Every change is categorized and visible. No surprises.
Audit Trail
Complete history of what was done and why.
When Human Review Is Needed
Some situations warrant human attention:High-Risk Changes: Modifications to indemnification, liability, or
termination clauses are flagged for senior review.
Unexpected Changes: Any change not traceable to instructions is surfaced
for your decision.
Low Confidence: If we’re not sure about something, we ask rather than
guess.
Comparison with Alternatives
| Aspect | Basic AI Editing | mixus Legal AI |
|---|---|---|
| Hallucination prevention | ❌ No | ✅ 4-layer protection |
| Change categorization | ❌ No | ✅ Every change tracked |
| Visual verification | ❌ No | ✅ PDF rendering check |
| Automatic retry | ❌ No | ✅ Up to 3 attempts |
| Risk detection | ❌ No | ✅ Automatic flagging |
| Audit trail | ❌ No | ✅ Complete history |
Our Guarantee
If you find an error in our output that wasn’t flagged, we want to know. Our system improves with feedback, and we’re committed to the highest standards of accuracy.Enterprise Features
Learn about audit trails and compliance features for enterprise use.