Savvycom case study: Streamlining Legal Workflows: AI-Powered Contract Review in Logistics

Streamlining Legal Workflows: AI-Powered Contract Review in Logistics

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CASE STUDY

Streamlining Legal Workflows: AI-Powered Contract Review in Logistics

Project Overview

Savvycom delivered a custom AI-powered contract review platform that automated legal document analysis, reduced manual bottlenecks, and strengthened compliance for a global logistics company, enabling scalable and efficient legal operations.

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About The Client

The client is a leading logistics company with an extensive international network of suppliers and service agreements. They required an AI partner to transition its legal department from slow, manual document checks to an automated system capable of verifying thousands of unstructured contracts without increasing headcount.

Challenges

Manual reviews became a major bottleneck, slowing operations and increasing the risk of missed legal “red flags.” As contract volumes and complexity grew across international markets, the lack of scalability made it clear that a more automated, high-precision approach was needed to consistently maintain compliance.

Solutions

We deliver an end-to-end AI ecosystem that functions as an intelligent teammate for the legal department. The platform uses custom Machine Learning models to autonomously flag risks and ensure every agreement meets strict international compliance standards. 

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Results

By deploying an AI-powered legal contract review system, we replaced manual workflows with a scalable digital platform that reduced review time by 50% and achieved 95% accuracy in identifying critical clauses and risks. The solution now processes over 1,000 contracts per month, enabling the legal team to scale operations confidently without increasing cost or complexity.

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Technical Overview

Cloud Platform: Google Cloud Platform (GCP)  

AI & NLP: Vertex AI, TensorFlow, Python (spaCy, NLTK)  

Data Management: BigQuery  

Integration: Custom API integration with internal legacy system 

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