DOCUMENT OPS

Extract obligations from signed contracts into an Airtable tracker

On upload of a signed PDF to Google Drive, pulls out every commitment, deadline, and renewal date and writes each as a structured row in an Airtable obligations register.

CategoryDocument Ops
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSigned PDF uploaded to Drive folderGoogle DriveGoogle Drive
  • ActionRead document text and metadataGoogle DriveGoogle Drive
  • LogicExtract obligations with owner, date, and source clause
  • LogicNormalize dates and owners to a consistent format
  • OutputWrite one obligation row per row to Airtable registerAirtableAirtable

What it does

This workflow turns a freshly signed contract into a tracked list of obligations. It reads the executed PDF, extracts who owes what by when, and creates one Airtable row per obligation with owner, due date, and source clause, so nothing relies on someone remembering a buried deadline.

When to use it

Use it when your team signs contracts faster than anyone files the commitments inside them — auto-renewals that lapse unnoticed, SLA deadlines, payment milestones, reporting duties. It gives ops and finance a single register of every live obligation.

How it works

  1. 1A signed PDF uploaded to the Drive 'Signed' folder triggers the run.
  2. 2The workflow reads the document text and metadata.
  3. 3An agent extracts each discrete obligation: party responsible, action, due or renewal date, and the clause it came from.
  4. 4Each obligation is normalized to a consistent date and owner format.
  5. 5One row per obligation is written to the Airtable obligations register, tagged with the contract name and signing date.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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