Case Studies/Professional Services
Professional Services

Proactively identifying price escalation clauses across 1,200+ contracts

Global Mobility Solutions & Professional Services Company

1,200+
Contracts parsed

A global mobility and professional services company used DocumentIQ to systematically parse thousands of vendor and client contracts, surfacing price escalation clauses before they triggered — saving millions in unanticipated cost increases.

The Challenge

The company managed over 1,200 active contracts across multiple business units and geographies. Price escalation clauses — tied to CPI, inflation indexes, or anniversary dates — were buried deep in legal language that varied across contract templates. The procurement and legal teams had no systematic way to identify which contracts had upcoming escalations, leading to surprise cost increases and missed negotiation windows.

The Solution

Using DocumentIQ, the team uploaded their full contract library and configured extraction fields for escalation trigger type (CPI, fixed %, anniversary-based), escalation cap, effective date, and notice period. PDF annotations were added on a representative set of 30 contracts to teach the AI where escalation clauses typically appeared — often in schedules or appendices rather than the main body. The 3-mode chat feature let procurement managers ask analytical questions like "Which contracts have escalations triggering in Q3?" directly across the extracted dataset.

The Results

  • 1,200+ contracts parsed and indexed in under 48 hours
  • Identified 340+ contracts with active price escalation clauses
  • 92% extraction accuracy on first run, improved to 97% after 2 rounds of annotation feedback
  • Procurement team now receives quarterly reports on upcoming escalations 90 days in advance
  • Estimated $2.4M in avoided unanticipated cost increases in the first year

DocumentIQ Features Used

Single-pass extraction with GPT-4oPDF annotations for escalation clause patternsCorrect Extraction values as ground truth3-mode chat for analytical queriesExcel export with confidence scores

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