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Intelligent Document Processing

Automated contract analysis system processing 500+ legal documents monthly. Utilizing OCR and NLP to extract key clauses and risk indicators, reducing manual review time by 80%.

PythonNLPAWS TextractTransformersReactDocker
80%
Time Reduction
99.5%
Extraction Accuracy
500+
Contracts/Month
<30s
Processing Time

The Challenge

A mid-sized corporate law firm was bogging down its associates with repetitive review of NDA's, MSA's, and vendor contracts. Highly paid lawyers were spending hours manually tagging dates, liability clauses, and termination terms. Key pain points included:

  • Bottlenecks: Contract review turnaround time averaged 3-4 days, delaying deal closures.
  • Human Error: Fatigue leading to missed non-standard clauses in high-volume document batches.
  • Unstructured Data: Valuable contract data was locked in PDFs, making it impossible to query across the portfolio.

Client Profile

Industry
Corporate Law
Team Size
35 Attorneys
Document Volume
500+ contracts reviewed monthly
Project Duration
10 weeks
Key Integration
iManage / SharePoint

Our Solution

Optical Character Recognition

High-fidelity OCR pipeline capable of enhancing scanned images and handling complex layouts, tables, and multi-column formats.

NLP Entity Extraction

Fine-tuned transformer models to identify 40+ specific data points (Parties, Dates, Governing Law, Indemnity Caps) with high precision.

Risk Comparison

Automated "red-flag" system comparing incoming contracts against the firm's standard playbook to highlight deviations.

Technical Architecture

System Components

Ingestion Pipeline

Drag-and-drop React interface + API watchers for email attachments and SharePoint folders

Processing Core

Orchestrated Python workers using AWS Textract for OCR and PyTorch for inference

Structured Storage

Extracted JSON metadata stored in PostgreSQL with full-text search capability

Data Privacy

Personally Identifiable Information (PII) redaction and encrypted document storage

Human-in-the-Loop

Review interface allowing attorneys to validate low-confidence extractions

Key Technologies

Python 3.10
AWS Textract
HuggingFace
React
PostgreSQL
Docker
FastAPI
ElasticSearch
Redis
Terraform

Results & Impact

Efficiency Gains

80% reduction in first-pass review time
Dropping from 4 hours to 45 minutes per batch
Instant Searchability
Finding "all contracts with Force Majeure clauses" now takes seconds
Faster Deal Velocity
Legal bottlenecks removed from sales cycles

Quality & Risk

Standardization Enforced
Deviations from standard terms automatically flagged
Errors Eliminated
Missed renewal dates and liability caps dropped to near zero
Higher Associate Satisfaction
Staff focused on high-value negotiation rather than data entry
"We used to dread the end-of-quarter contract rush. With PrismLabs' tool, what used to be a week of late nights is now handled in a standard afternoon. The accuracy of the extraction is genuinely impressive."
- Managing Partner, Corporate Law Firm

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