ACL Digital Empowered Contract Intelligence and Transformed Document Processing with AI-Powered Precision
Overview
To meet the growing demand for rapid and precise contract analysis, a client sought an AI-powered solution to analyze legal contract documents and integrate them within their existing platform. The goal was to use AI to accurately extract critical details—such as contract dates, ownership information, and contract types—while identifying various predefined contract provisions from uploaded documents. They needed a solution capable of high-volume processing with high accuracy to enhance the efficiency of their contract management process.
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Challenges
High Precision Requirements
Accurately extracting over 120 specific data points per document with minimal human oversight
Volume Management
Enabling simultaneous processing of multiple files to handle large volumes efficiently
Scalability Needs
Building a system that could scale alongside the company’s growing document processing demands
Cloud Deployment
Ensuring the solution was deployed on a reliable and scalable infrastructure for optimal performance and uptime
Solution
- Multiple File Upload Functionality: ACL Digital implemented a feature allowing users to upload and process multiple files simultaneously, streamlining document submission and significantly enhancing user experience.
- Advanced-Data Extraction Mechanism: Leveraging a hybrid approach, ACL Digital combined retrieval-augmented generation (RAG) techniques with generative AI models to ensure accurate extraction of relevant details from each contract document. Prompt Engineering for Precision: ACL Digital fine-tuned the AI model outputs using prompt-engineering methods, achieving consistently precise results aligned with the client’s specific contract analysis requirements.
- AWS Cloud Deployment: ACL Digital deployed the entire solution on AWS servers, ensuring scalability and reliability and allowing for seamless system operations as demand increased.
- Configurable and Scalable Code Base: With modular architecture, the code base was designed for easy configurability and scalability, making it simple to adjust and expand as processing needs grew.
Outcomes
Increased Processing Efficiency
The AI-powered system reduced processing time to 5 minutes per contract, accurately extracting around 120 details per document
Reduced Human Intervention
Automated data extraction minimized manual effort, allowing analysts to focus on higher-value tasks
Faster Turnaround
With efficient processing and rapid analysis, the client achieved quicker document review, expediting decision-making
Scalability
The solution’s modular architecture and AWS deployment ensure it is ready to scale with future growth and demand
