Documented wage benchmark
Compares ordinary base pay with the wage listed in the uploaded LCA and accepted offer.
WageShield is retrieving the latest review state.
With explicit consent, WageShield's AI Evidence Copilot reads an H-1B worker's records, cites each proposed fact, and verifies the citation in a separate pass. People confirm the evidence before transparent code shows what differs and how the math works.
Six complete biweekly periods were compared. Bonuses, deductions, and the separate no-work interval were excluded.
No opaque score and no alarmist label. Each module can find a possible difference, show consistency, ask for more evidence, or recommend human review.
Compares ordinary base pay with the wage listed in the uploaded LCA and accepted offer.
Aligns no-work intervals with employer messages, availability, active employment, and pay records.
Separates observed payroll lines from clauses, routine deductions, and unclear descriptions.
Shows where employer, dates, pay, role, or worksite details differ across records.
High-impact facts stay beside their source. Corrections create a new version, rules rerun from reviewed inputs, and the report includes only what the worker selects.
Read the methodologyUse a checklist for the LCA, offer, paystubs, and optional context.
Inspect the cited page, verifier decision, uncertainty, and every proposed value.
Versioned code handles money, time intervals, tolerances, and statuses.
Build a reconstructed PDF, inspect redactions, download, or delete the case.
AI processing is optional per upload and requires an explicit transfer choice. Case files otherwise stay in private, case-scoped storage. Reports are rebuilt from an allowlist, and case deletion removes stored documents, reports, and private rows before returning a verified result.
Create a private evidence review, or learn the full workflow first with clearly labeled fictional records.