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Tool library

Redlining

MFN Detector

Locates most-favoured-nation pricing terms that constrain future commercial deals.

What it takes in

  • Regulator publications feed
  • Data room export

What it gives back

Reviewable report with a source link on every claim

Typical run: 8 to 15 seconds per document

How MFN Detector runs

  1. Ingest

    Lawrs parses the source set, resolves document families, and builds a citation index so every later statement can point back to a page and paragraph.

  2. Analyse

    MFN Detector runs its redlining pass across the indexed set, recording the reasoning behind each finding rather than only the conclusion.

  3. Verify

    Findings are re-checked against the underlying text. Anything the model cannot ground in a source is surfaced as unverified rather than quietly dropped.

  4. Hand off

    Output lands in the format the next person needs, with the audit trail attached so a reviewer can confirm the work in minutes.