DOCUMENT OPS

Email counsel when a contract contains high-risk clauses

Scans contracts arriving in Dropbox, extracts and scores clauses with AI, and only emails the legal owner via Gmail when at least one clause crosses a defined risk threshold.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew contract file in Dropbox review folderDropboxDropbox
  • ActionDownload and extract contract textDropboxDropbox
  • ActionScore clauses and draft suggested redlinesOpenAI
  • LogicContinue only if a clause exceeds risk threshold
  • OutputEmail risk summary to assigned counselGmailGmail

What it does

Gives in-house counsel a noise-free alert channel. Every new contract is parsed and its clauses scored, but the reviewer is only emailed when something genuinely needs eyes — an uncapped liability, a one-sided indemnity, an aggressive auto-renewal. Routine, clean agreements pass silently.

When to use it

Use it when a single lawyer or contract manager is the bottleneck and you want to protect their attention. It replaces "forward me everything" with "forward me only what's risky," including a plain-English reason for each flag.

How it works

  1. 1A new contract file in the Dropbox review folder triggers the run.
  2. 2The document text is downloaded and extracted.
  3. 3OpenAI identifies clauses and assigns each a risk score with a short justification and a suggested redline.
  4. 4A logic step filters out contracts where every clause is low risk.
  5. 5For contracts that clear the threshold, a Gmail message goes to the assigned reviewer summarizing each high-risk clause, the rationale, and a link back to the source file.

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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