Extract fields from 25,000 scanned contracts into our database
Project Deliverables & Description
We hold roughly 25,000 contracts as PDFs and scans. Staff currently search them by hand. I need a pipeline that reads them (OCR where needed), indexes them with sensible chunking, answers questions with page-level citations, and says so when it cannot find an answer. Access must follow our existing user permissions.
Looking up one clause or figure can take half an hour.
Key Deliverables:
- System Analysis & Architecture: Reviewing existing system, defining integration points, and confirming approach.
- Implementation & Integration Testing: Building core automation with confidence thresholds and fallback logic.
- Production Deployment & Documentation: Final deployment with monitoring, usage documentation, and cost projections.
Requirements:
- Demonstrated experience with Python, LangChain, Vector Databases, OCR
- Async communication preferred with milestone check-ins.
- Existing user-facing interface must remain unchanged.
- Must include confidence threshold fallback to human review.
- Daily or bi-daily async progress updates required.
Looking to get started promptly. Please submit a proposal detailing your relevant past experience and expected timeline.
Required Skills & Technologies
Contract Parameters
Budget Setup
$2,000 - $3,500
fixed Rate Structure
Experience Level
Expert
Target expertise level requested
Project Scope
Intermediate
Target project delivery scope
Contract Identifier: 72fee42a
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