DOCUMENT OPS
Log Contract Clause Deviations to a Notion Review Tracker
On a daily schedule, scans newly modified contracts in Drive, identifies clauses that diverge from the approved template.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionFetch contracts modified in the last 24 hoursGoogle Drive
- ActionScore clause deviations and draft fallback languageOpenAI
- LogicSkip contracts with no material deviations
- OutputCreate one Notion tracker row per deviating clauseNotion
What it does
Each day it sweeps your contracts folder for documents modified since the last run, compares their clauses to the approved master, and records every deviation as a structured row in a Notion database. Each row captures the clause name, the original vs. redlined text, a severity tag, and a suggested standard fallback so legal can resolve it without re-reading the whole contract.
When to use it
Use it when you want an auditable, filterable backlog of open redline issues rather than ephemeral chat alerts. Ideal for teams that run clause negotiations across many deals and need a single board to track resolution.
How it works
- 1A daily schedule kicks off the sweep.
- 2Drive returns contracts modified in the last 24 hours.
- 3OpenAI compares each clause to the approved template, scores the deviation, and drafts a fallback recommendation.
- 4A logic step skips contracts with zero material deviations.
- 5Notion gets one new tracker row per deviating clause, tagged by severity and set to status "Needs review."
Set it up
What you configure once, before turning it on.
- 1Connect Google DriveDocs, sheets, slides, files.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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