Index
Comparing documents with AI can help locate relevant changes, but the result needs to point out the excerpts that support each difference. A summary without references makes the conference difficult.
How to evaluate this decision
Separate content changes from formatting changes. Define which document types and languages are in scope. Processing must preserve enough version, page, and context for human review. Do not treat the absence of a detected difference as proof of equality: when this proof is necessary, also use deterministic mechanisms appropriate to the file.
Criteria for comparing proposals
- Input: identify the two versions and check whether the content could be extracted properly.
- Comparison: relate each difference to the source excerpts and flag incomplete extraction.
- Review: allow confirming, discarding or complementing findings without deleting the original output.
A scenario to discuss with the supplier
Hypothetical example: a table changes position and a condition changes. The solution must avoid presenting the entire movement as a material change and highlight the content actually modified.
What to validate upon delivery
Use documents with known changes, including deletions and minor changes in meaning. Measure omissions and false alerts by category, reviewing cases where extraction failed.
Prepare the conversation about the project
Quantum9 can build an assisted comparison for the defined collection. Bring file types, review examples and relevance criteria; The final decision on the document remains with the person responsible for the analysis.
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