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Legal Sector

Automated Legal Contract Review

Client: Stirling Law Partners

75% Time Saved Impact
01. Overview

Stirling Law Partners is a mid-sized firm handling 500+ property contracts monthly. They were overwhelmed by manual reviews.

02. The Challenge

Lawyers were spending 4-5 hours per contract just extracting names, dates, and clauses. This caused delays in closing deals and high staff burnout.

03. Our Approach

We proposed a 'Human-in-the-loop' AI system. The AI extracts data first, and lawyers only review the final output, reducing workload significantly.

04. Implementation
  • Deployed a custom Named Entity Recognition (NER) model.
  • Integrated with their existing Case Management System (CMS).
  • Set up a secure, local server to ensure GDPR compliance.
Solution Architecture

Visual representation of data flow and AI integration.

Key Results

-75%

Processing Time

Reduced from 4 hours to 15 mins

0.1%

Error Rate

Higher accuracy than human review

£40k

Cost Saving

Annual operational savings

Technologies Used
Python Spacy (NLP) Docker React

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