DOCUMENT OPS

Signed-PDF contract register: Dropbox to Airtable

Watches a Dropbox folder for newly executed agreements, extracts effective date, parties, term, and auto-renew clauses with an LLM.

CategoryDocument Ops
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew file added to Dropbox contracts folderDropboxDropbox
  • ActionDownload PDF and extract textDropboxDropbox
  • ActionExtract parties, dates, and renewal terms with OpenAIOpenAI
  • LogicVerify effective date and party were found; flag if low confidence
  • OutputCreate structured row in Airtable contract registerAirtableAirtable

What it does

Turns a shared Dropbox folder of executed PDFs into a searchable, structured contract register in Airtable. Every time a signed agreement lands in the folder, the workflow reads the document, pulls the key commercial terms, and creates a register row with the original file linked.

When to use it

Use it when contracts get countersigned and dropped into Dropbox but nobody is keying the terms into a tracker. Good for ops, legal-ops, or finance teams who need one place to answer "when does this renew?" and "who are the parties?" without reopening PDFs.

How it works

  1. 1A new file appearing in the watched Dropbox folder triggers the run.
  2. 2The file is downloaded and its text extracted from the PDF.
  3. 3OpenAI parses the text into structured fields: counterparty, signing entity, effective date, term length, governing law, and any auto-renew clause language.
  4. 4A guard checks that an effective date and at least one party were found; low-confidence extractions are flagged rather than silently saved.
  5. 5A new row is created in the Airtable register with the fields, a renewal-notice date, and a link back to the Dropbox 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 AirtableBases, tables, views, automations.
  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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