DOCUMENT OPS
NDA Email Intake to Legal Review Queue
Watches a legal intake inbox for incoming NDAs, extracts the key clauses and parties with a Hugging Face model, and files each one as a structured card in a Notion review queue.
How it runs
The automated pipeline, trigger to output.
- TriggerNew email in legal intake labelGmail
- ActionRead attachment and extract contract textGmail
- ActionExtract clauses and parties with Hugging FaceHugging Face
- LogicConfirm document parsed as an NDA
- OutputCreate structured review card in NotionNotion
What it does
Monitors a shared legal intake mailbox for inbound NDAs, pulls the attached or pasted contract text, runs clause extraction to identify the governing-law, term, confidentiality scope, and indemnity provisions, then opens a structured review card in Notion so a lawyer can pick it up without hunting through email.
When to use it
Use it when sales, partnerships, or vendors keep emailing NDAs to a single legal address and your team is manually copy-pasting them into a tracker. It turns an unstructured inbox into a queryable queue with the clauses already pulled out.
How it works
- 1A new email arrives in the monitored Gmail intake label.
- 2The attachment (or body text) is read and normalized into plain contract text.
- 3A Hugging Face extraction model returns the parties, effective date, term length, and the core confidentiality and indemnity clauses.
- 4A logic step confirms the document actually parsed as an NDA before continuing.
- 5A Notion page is created in the Legal Review database with each extracted clause mapped to its own property.
- 6The card lands in the review queue, ready for a reviewer to claim.
Set it up
What you configure once, before turning it on.
- 1Connect GmailRead, draft, send, label.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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