contract_management · services · workflow
QIMA cuts contract upload and tagging time by 75% and automates data extraction with Juro
QIMA's lean legal team was drowning in manual contract work, with clunky legacy tools, slow uploads, and scattered data that could not keep pace with the business's growth.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Automated contract ingestion
Juro's data-rich contract repository slashed the hours previously spent uploading, tagging, and filing documents.
Tools used
JuroAI Extract
Outcome
QIMA cut contract upload and tagging time by 75%, automated data extraction from third-party contracts with AI Extract, eliminated the signature-chasing bottleneck, and recovered a considerable amount in overdue payments using a Juro payment-letter template.
What failed first
The legacy contracting tool bundled into QIMA's ERP required everything to be typed in by hand, had poor UX, and was not built for modern team workflows.
Results
Time saved75 per cent
Volumetwo or three hours every week
Running sincelate 2023
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
data extractiondocument aicontractfailure mode describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedprofessional servicesemployee productivityerror reductionrevenue increasetime savedvendor customer storycontract managementlegal opsdocument to recordextract classify route