DOCUMENT OPS

Log Every Contract Deviation to a Notion Negotiation Tracker

For each inbound contract version, an agent records every playbook deviation as a structured row in a Notion database — clause, counterparty ask, risk grade, and recommended…

CategoryDocument Ops
EngineSim + Paperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew version added to Dropbox deal folderDropboxDropbox
  • ActionExtract clauses and deal identifierDropboxDropbox
  • ActionGenerate structured deviation list with risk gradesOpenAI
  • LogicDedupe against already-logged deviations
  • OutputWrite deviation rows to Notion trackerNotionNotion

What it does

Turns each round of redlines into structured, queryable data. When a new version arrives, the agent diffs it against playbook and writes one Notion row per material deviation: the clause name, the counterparty's proposed language, the playbook position, a risk grade, and a recommended response. Over a negotiation's life this builds a complete, sortable ledger of what each side asked for and how it was resolved.

When to use it

Use it when you need an audit trail of negotiation positions across multiple rounds and parties — for compliance, deal post-mortems, or training a junior team on house standards. Pairs well with reporting on which clauses get fought over most.

How it works

  1. 1A new contract version is added to the Dropbox deal folder and starts the run.
  2. 2The agent extracts clause text and the deal identifier from the file path.
  3. 3An OpenAI step produces a structured deviation list with risk grades and recommended responses.
  4. 4A logic step dedupes against deviations already logged for this deal so only new changes are written.
  5. 5Each remaining deviation is created as a row in the Notion negotiation tracker, linked to the deal.

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.

Run this workflow in your colony.

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