DOCUMENT OPS

High-Risk Clause Change Email Alert from Dropbox Redlines

Diffs each new contract version in Dropbox and emails the deal owner only when a high-risk clause (indemnity, liability cap, termination, auto-renewal) was changed.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew contract version added to DropboxDropboxDropbox
  • ActionDownload new and prior contract versionsDropboxDropbox
  • ActionDiff clauses and tag category plus severityOpenAI
  • LogicOnly continue if a high-risk clause changed
  • OutputEmail the deal owner the before/after high-risk clausesGmailGmail

What it does

This workflow scans every revised contract dropped into Dropbox, compares it to the previous version, and classifies which clauses changed. If any change touches a pre-defined high-risk category, it emails the deal owner immediately with the exact old and new wording so they can react before signing.

When to use it

Use it when most redlines are routine but a handful of clause changes can quietly create real exposure. Instead of reviewing every draft, the responsible owner gets pinged only when the risky language moves.

How it works

  1. 1A new contract version in Dropbox starts the run.
  2. 2The workflow pulls the prior version and downloads both files.
  3. 3An OpenAI step produces a clause-level diff and tags each change with a category and severity.
  4. 4A logic gate checks whether any change is high-risk (indemnity, liability cap, termination, auto-renewal, governing law).
  5. 5If none qualify, the run ends quietly with no alert.
  6. 6If a high-risk change is found, an email goes to the deal owner with the clause name, before-and-after text, and a short risk note.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect GmailRead, draft, send, label.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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