DOCUMENT OPS
Flag clause deviations when a redlined contract lands in Drive
Watches a Google Drive folder for incoming redlined contracts, diffs each clause against your standard clause library.
How it runs
The automated pipeline, trigger to output.
- TriggerNew redlined contract in Drive folderGoogle Drive
- ActionRead and segment contract into clausesGoogle Drive
- ActionDiff each clause against standard clause libraryOpenAI
- LogicKeep only material deviations
- OutputWrite deviation report to NotionNotion
What it does
When a counterparty returns a marked-up contract, this workflow compares the negotiated text against your approved clause library clause-by-clause and produces a structured deviation report. Each flagged item names the clause, shows the standard language next to the proposed language, and rates how far it drifted.
When to use it
Use it when your legal or deals team receives third-party redlines through a shared Drive folder and needs a fast first-pass review before a lawyer reads the whole document. It catches off-standard indemnity, liability cap, and termination language without manual line-by-line reading.
How it works
- 1A new or updated file in the watched Google Drive folder triggers the run.
- 2The contract text is read from Drive and segmented into named clauses.
- 3OpenAI matches each clause to its counterpart in the standard clause library and scores the deviation.
- 4A logic step keeps only clauses that materially differ from the approved baseline.
- 5A Notion page is created with a side-by-side table of standard vs. proposed language and a severity tag per deviation.
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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Run this workflow in your colony.
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