DOCUMENT OPS

Intake NDAs emailed to a shared inbox and route by signature status

Watches a shared Gmail inbox for NDA attachments, classifies each as fully signed or awaiting signature, archives the signed ones to S3.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email with NDA attachment hits shared inboxGmailGmail
  • ActionExtract text and classify signature completenessOpenAI
  • LogicBranch on fully signed vs. awaiting signature
  • ActionArchive fully signed NDAs to S3AWS S3
  • OutputFlag unsigned NDAs to legal channel in SlackSlack

What it does

Turns a shared NDA intake mailbox into a sorting machine. Every inbound email with a contract attachment gets read, classified by signature state, and routed: fully executed agreements go straight to the archive and register, while drafts missing a signature get surfaced to legal for follow-up.

When to use it

Use it when counterparties email NDAs to a generic address like legal@ or contracts@ and someone has to manually triage signed versus unsigned all day. This removes the human sorting step and stops half-signed documents from being filed as complete.

How it works

  1. 1A new email with a PDF attachment arrives in the watched Gmail inbox and triggers the run.
  2. 2The attachment text is extracted and a model determines whether all required signature blocks are filled.
  3. 3A branch routes on signature status.
  4. 4Fully signed documents are uploaded to the S3 archive and logged as complete.
  5. 5Unsigned or partially signed documents are posted to the legal Slack channel with the sender and a note on what's missing, closing the loop either way.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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