DOCUMENT OPS

Dropbox contract redline scoring into a Notion contract register

Scores incoming Dropbox contracts against your standard playbook, records deviations, and files each agreement into a Notion contract register with a risk rating.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew contract file in DropboxDropboxDropbox
  • ActionDownload document text from DropboxDropboxDropbox
  • ActionScore clauses against playbook with LLMOpenAI
  • LogicRoll deviations into overall risk rating
  • OutputCreate record in Notion contract registerNotionNotion

What it does

Compares each contract arriving in Dropbox against your negotiation playbook, identifies where the counterparty's terms deviate from standard, and writes a full record into a Notion register so every agreement is searchable with its risk rating and deviation list.

When to use it

Use it when you have a defined contract playbook and want non-lawyers to see, at a glance, where an incoming draft strays from your accepted positions. Ideal for procurement and ops teams maintaining a single source of truth for active agreements.

How it works

  1. 1A new file in the Dropbox contracts folder triggers the run.
  2. 2The document text is downloaded from Dropbox.
  3. 3OpenAI compares clauses to your playbook and returns each deviation with a severity score.
  4. 4A logic step rolls the deviations into an overall risk rating of low, medium, or high.
  5. 5A new page is created in the Notion contract register with the parties, risk rating, and deviation table.
  6. 6The Notion page link is the final output, ready for assignment.

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 NotionPages, databases, comments.
  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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