DOCUMENT OPS

Signed Contract Filing to Notion Repository

On a schedule, finds newly signed contracts in Dropbox, extracts the key metadata, archives the file to S3, and files a structured record in a Notion contract repository.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily scheduled sweep
  • ActionFetch new signed contracts from DropboxDropboxDropbox
  • ActionExtract contract metadata with AIOpenAI
  • ActionArchive original file to S3AWS S3
  • LogicDeduplicate against existing records
  • OutputCreate record in Notion repositoryNotionNotion

What it does

Keeps your executed-contract repository current without manual data entry. It sweeps a signed-contracts folder, pulls counterparty, value, dates, and contract type from each agreement, stores the canonical file in long-term object storage, and creates a clean searchable record in Notion.

When to use it

Use when signed contracts pile up in a folder and your repository (the source of truth for finance, audits, and renewals) is always behind. This is the recurring janitor that keeps records complete and findable.

How it works

  1. 1A daily schedule triggers the sweep.
  2. 2New files in the Dropbox signed-contracts folder are listed and fetched.
  3. 3OpenAI extracts counterparty, contract type, total value, effective and end dates.
  4. 4The original file is archived to an AWS S3 bucket for durable retention.
  5. 5A logic step deduplicates against existing records so reruns don't double-file.
  6. 6A structured contract record with the S3 link is created in the Notion repository.

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 AWS S3Buckets, objects, signed URLs.
  4. 4
    Connect NotionPages, databases, comments.
  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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