01

Define what comparison means for the workflow

Comparison can mean a line-by-line redline, a semantic review of changed obligations, a reconciliation of numeric values, or an assessment of what is missing. The first step is to define the comparison objective and the unit of analysis.

For contracts, the unit may be clauses, parties, dates, obligations, and remedies. For financial documents, it may be account names, periods, currencies, and totals. For policy records, it may be requirements, responsible offices, and effective dates.

02

Normalize before drawing conclusions

Documents often describe the same fact differently. One file may report dollars while another uses millions. Names may be abbreviated, dates may use different formats, and a revised agreement may reorganize sections without changing the underlying meaning.

A reliable comparison workflow normalizes these differences before declaring a conflict. The system should retain the original source value while showing the normalized value used in the comparison.

03

Use a discrepancy matrix

A discrepancy matrix turns a large comparison into a structured review queue. Each row should identify the topic, the value or language found in each source, the nature of the difference, and citations to the supporting records.

  • Changed language or obligation.
  • Conflicting dates, amounts, or parties.
  • Information present in one source but missing from another.
  • Duplicate records or repeated claims.
  • Items that require human interpretation or external confirmation.
04

Keep the comparison reviewable

The final output should not force a reviewer to trust a black-box conclusion. Every material difference should link back to the relevant source page or region. When the system infers that two terms are equivalent, it should make that inference visible.

This approach is particularly valuable for contract version review, diligence data rooms, regulatory filings, portfolio reporting, and public records where the source set changes over time.

05

Choose the output that matches the decision

A legal team may need a clause matrix. An investment team may need a diligence issues list. An operations team may need a timeline. A finance team may need a reconciled table with a verified total. The comparison process should remain flexible while the evidence requirements stay consistent.