SpotDraft reduces UrbanVault's contract turnaround from weeks to minutes
UrbanVault's small legal team manually managed thousands of contracts involving physical stamp papers and in-person signings, causing deal closures to stretch days or weeks. Contract data was scattered across Google Docs and Drives, and manually tracking renewal deadlines led to missed deadlines.
The manual process relied on real stamp papers, in-person signings, and contracts scattered across Google Docs and Drives, making even simple deals take weeks and contract retrieval nearly impossible.
SpotDraft reduced UrbanVault's contract execution to under an hour, achieved 95% faster signature collection, cut stamp paper admin efforts by 75%, quadrupled monthly contract capacity from 100 to 500, and reduced contract-related errors by 25%.
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Frequently asked questions
What did this team achieve with this AI workflow?
SpotDraft reduced UrbanVault's contract execution to under an hour, achieved 95% faster signature collection, cut stamp paper admin efforts by 75%, quadrupled monthly contract capacity from 100 to 500, and reduced con…
What tools did this team use?
SpotDraft.
What results were reported?
Signature collection turnaround time: 95% faster; Admin efforts for stamp papers: 75%; Monthly contract processing capacity: quadrupled; Monthly contracts handled (before): 100 (source-reported, not independently verified).
What failed first in this deployment?
The manual process relied on real stamp papers, in-person signings, and contracts scattered across Google Docs and Drives, making even simple deals take weeks and contract retrieval nearly impossible.
How is this contract management AI workflow structured?
Contract creation on cloud platform → Digital stamp paper access → Remote eSignature collection → Centralized contract repository → Automated deadline reminders → Finance team deal notification.