I will validate ai generated documents for accuracy and consistency
About this Gig
Struggling to trust AI-generated abstracts, summaries, or data extractions?
I catch the errors before they cause real problems.
AI is fast at pulling data from contracts, leases, and long documents but it miscalculates dates, misreads numbers, and sometimes adds details that were never in the source at all.
What I do
I compare your source document against its AI-generated abstract, field by field, and flag every mismatch. This isn't legal review I'm not a lawyer and this isn't legal advice. It's a QA-style accuracy check, based on my background in software testing og 2+ years and document analysis, using AI-assisted tools to speed up the comparison and verify the facts.
What you get
- Expected (source) vs. Actual (AI output) for every field
- Pass/Fail result per data point
- Severity rating (Critical / High / Minor)
- Plain-English note on why each error happened
- Final accuracy score
- Delivered as a clean Excel workbook
Good fit for: teams using AI to abstract leases, documents, or reports who want a second set of eyes before the data goes into a system of record.
Send me the source document and the AI output I'll tell you how much you can trust it.
System type:
Software
Expertise:
Memory usage
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Usability
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System architecture
My Portfolio
Other QA & Review Services I Offer
FAQ
What file formats do you accept?
PDF, Word, or plain text for the source document. The AI-generated abstract can be a spreadsheet, JSON, plain text, or PDF — whatever your tool outputs.
Do you validate the AI model itself, or just the output?
Just the output. I don't have access to your AI pipeline — I compare what it produced against the source document and report where they diverge.
What if the document is confidential?
I sign an NDA on request, and confidential files are deleted after delivery. I never use client documents outside the engagement.
Can you validate document types other than leases?
Yes — contracts, insurance policies, financial statements, and other structured documents work the same way. Mention your document type before ordering so I can confirm scope.
What does "accuracy score" mean?
The percentage of extracted fields that exactly matched the source document. I also flag severity so you know which errors actually matter (a wrong date is worse than a wrong parking count).

