Searchable archive for every agreement you have signed
Browse every completed signature request, read the values people typed without opening the PDF, and let an agent pull out the key terms.
I want an app that turns every document we have ever had signed into a searchable archive I can actually read. Today the executed PDF is slow to find after the fact, and the values people typed into the form stay trapped inside the document, so answering a simple question about what we agreed means opening files one at a time. Build this as a retrieval and reading surface over our completed DocuSeal submissions, used mainly by legal, finance and ops.
The main screen is a browse view listing completed submissions from DocuSeal List Submissions, filtered to completed status. Each row shows the counterparty name, the template the document came from, the date it was signed, and whether it has already been abstracted or filed. Put a search box at the top that matches counterparty name using the submitter search parameter on List Submissions, plus a template filter populated from DocuSeal List Templates and a date signed range filter. Search is the priority here, so paginate the list, keep the filters visible on the same screen rather than behind a menu, and make the whole thing feel fast on a large archive.
Clicking a row opens a detail page that puts the executed document next to the data behind it. On one side, render the final signed PDF fetched with DocuSeal Get Submission Documents. On the other, list the field values each signer actually submitted, read with DocuSeal List Submitters scoped to that submission and DocuSeal Get Submitter for each signer, which returns the submitted field values. Show every field as a label and value pair grouped by the signer it belongs to, so someone can read exactly what a counterparty entered without opening the PDF at all. Use DocuSeal Get Submission for the header details: document name, completion date and signer status.
Put an "Abstract this agreement" button on the detail page that starts a background agent. The agent reads the signed document and the captured field values for that submission, then extracts the parties, the effective date, the term length, the contract value, the notice window and the key obligations. It appends that as one structured row to a Google Sheets contract register using Google Sheets Append Values, with a column per extracted term plus counterparty, template, date signed and a link back to the submission. This part matters: whenever the agent cannot find one of those terms in the document, it must write an explicit "not found in document" marker for that field instead of guessing or leaving the cell silently blank, and the app must display that marker clearly so a reader can tell a missing clause from an unread one.
Add a second tab in the app that shows the contract register itself, read with Google Sheets Get Values against the register sheet. It is a table of every agreement that has been abstracted, with the extracted terms as columns, searchable the same way the browse screen is. When the background agent finishes, refresh this tab so the new row appears without the user reloading, and link each register row back to its detail page.
Add a "File a copy" action on the detail page that builds a clean Drive archive alongside the register. It creates a folder named after the counterparty with Google Drive Create Folder, reusing the existing folder when one is already there by checking with Google Drive List Files first, then stores the executed PDF inside it with Google Drive Upload File (Multipart). Once a copy is filed, show the resulting folder link on the detail page so legal and finance can jump straight to the archived document.
Keep the scope tight. The priority is fast search across counterparties and showing the extracted terms clearly, including the explicit note on any field the agent could not find. This is a retrieval and reading surface, not a reminder system, so no scheduled digests, no chat alerts and nothing that runs on a timer. Renewal timing is simply one of the extracted fields here, not the purpose of the app.
What does this prompt do?
- Lists every completed agreement in one searchable table, so you can find an executed contract by counterparty name, document type, or the date it was signed.
- Opens each agreement side by side: the signed PDF on one side, the exact values each person typed into the form on the other, so you can read what someone entered without opening the document.
- An "Abstract this agreement" button sends an agent through the signed document to pull out the parties, effective date, term length, contract value, notice window, and key obligations.
- Extracted terms land in a running contract register you can read as a second tab inside the app, and a "File a copy" action drops the executed PDF into a per-counterparty folder in your Drive.
What do I need to use this?
- A DocuSeal account with completed signature requests in it
- A Google account for the contract register and the Drive archive
- A spreadsheet to use as your contract register, which the app appends a row to each time an agreement is abstracted
- A Drive folder to keep the per-counterparty archive tidy in one place
How can I customize it?
- Change which terms the agent pulls out. Governing law, renewal type, payment schedule, or auto renewal language are common additions to the standard set.
- Point the register at a different spreadsheet or tab, and decide how the per-counterparty Drive folders get named.
- Narrow the browse list to certain document types, so the archive only covers the agreements your legal and finance teams actually care about.
FAQs
Does this cover agreements that were signed before I set it up?
Can I see what someone typed into the form without opening the PDF?
What happens when the agent cannot find one of the terms?
Does this remind me when a contract is about to expire?
Where do the extracted contract terms actually live?
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Stop opening PDFs one at a time to find what you agreed.
Turn your signed agreements into an archive you can search, read, and pull real terms out of in seconds.