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Project

DocuForge Contract Extraction Pipeline

Vision + OCR pipeline extracting clauses, expiry dates, and obligations into Postgres.

Client
DocuForge Counsel Group
Expertise
Industry, LegalTech
Scope
7 months
DocuForge Contract Extraction Pipeline

about project

Vision + OCR pipeline extracting clauses, expiry dates, and obligations into Postgres.

  • python
  • paddleocr
  • fastapi
  • minio

Paralegals retyped PDFs drafted by outside counsel inconsistently.

We built ingestion with layout-aware OCR and clause spotting models with reviewer UI.

Version diffing raises redlines when counterparties revise sensitive sections.

Outputs sync to Salesforce opportunities with watermarking.

Features

  • Layout OCR with confidence ribbons
  • Clause-level diff timelines
  • Salesforce linkage with hashing
  • MinIO versioning with legal hold tags
  • Batch API for ZIP uploads

Case
study

OUR
Approach

How we framed the challenge, shipped the solution, and measured outcomes.

Challenge

Legacy tooling could not audit changes at scale.
Stakeholders lacked a single dependable source of KPI truth.

Our approach

Introduced hardened workflows with automation at the bottleneck.
Shipped dashboards with guardrails and explicit ownership.

Results

Contract review backlog shrank materially before quarter close.
Clause-level mistakes caught earlier.
Impact

Key metrics

−27%

Contract cycle time

−4,200 / quarter

Manual keying rows

+3x faster

Counterparty SLA breaches flagged
Stages

Work in stages

01

Requirement Gathering & Discovery

1

02

Project

However, all complete IoT systems are the same in that they represent the integration of four distinct components: sensors/devices, connectivity, data processing, and a user interface.

03

IOT Projects software

The software then analyzes and transmits the data to users via an app or website.

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