#Eternal
Apache Tika
Camunda
Azure
Lit.dev-pending
ProseMirror
Capacitor.js
Claude 3 Opus
AWS Textract
DVCreduction in time required for initial document review
improvement in issue identification accuracy compared to manual review
faster case progression from intake to resolution
annual cost savings through optimized attorney time allocation
Global Legal Partners, an international law firm with 2,800 attorneys across 27 countries, faced significant challenges with document review processes:
These inefficiencies cost the firm approximately $42M annually in underutilized attorney time and created bottlenecks in case progression.
Global Legal Partners implemented an agentic AI legal document review system that:
1. Utilized large language models (LLMs) like GPT-4 to analyze complex legal documents with nuanced understanding
2. Deployed autonomous agents capable of sifting through voluminous legal materials including contracts, agreements, and litigation paperwork
3. Implemented sophisticated pattern recognition to identify key legal terms, flag potential issues, and highlight inconsistencies
4. Created a customizable review framework that attorneys could program to focus on specific clause types or issues relevant to their practice area
5. Provided initial document assessment with prioritized attention areas for human review
The system functioned as an intelligent assistant that could work autonomously through document sets, identifying patterns and issues that would require days of human review.
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