Building Smarter Contracts using AI for a Major US Construction Company

We developed an AI contract analysis solution for one of the top 50 US construction companies, cutting legal workload by 60%, saving $350,000 annually, and delivering 99.5% accuracy in content extraction.

The Challenge

Our client is a leading construction company in the US, specializing in complex infrastructure projects across various sectors including Healthcare, Life Sciences, Advance Technology, Higher Education, and Commercial buildings. They faced several challenges in their contract management process:
  • Time-consuming manual review: Legal experts spent significant time analyzing contracts, reducing their availability for other critical tasks.
  • Inconsistent analysis: Manual reviews led to potential inconsistencies in contract interpretation and risk assessment.
  • Inefficient risk mitigation: Identifying and addressing potential risks in contracts was complex.
  • Complex insurance clauses: Ensuring proper coverage for liability, worker’s compensation, and builder’s risk required meticulous attention.

Our Solution

We implemented a comprehensive AI-driven contract analysis system.
  • Advanced NLP Algorithms: We applied Natural Language Processing to identify and extract relevant sections from contracts.
  • Intuitive User Interface: We designed an efficient UI to enhance the contract review process for the legal team.
  • Continuous AI Retraining: We implemented a feedback loop to optimize AI performance over time.
  • Technology Stack: The solution integrated Python, TensorFlow, AWS, and Docker for robust performance.

The Impact

Our contract analysis solution delivered significant benefits to the client:

  • Accuracy: Achieved 99.5%+ accuracy in content extraction and 98.1%+ in structure extraction.
  • Efficiency: Reduced legal workload by 60%, allowing experts to focus on high-value tasks.
  • Cost Savings: Generated $350,000+ annual savings in legal costs.
  • Processing Speed: Accelerated contract analysis time helping lawyers gain more control and close deals faster.
  • Consistency: Improved review consistency and enhanced the ability to identify and mitigate potential risks.

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