AI-Powered Contract Intelligence for Enterprise Legal Operations
Client Background
A global leader in design software serving millions of architects, engineers, and creators engaged Akraya to transform their enterprise contract operations.
Challenges Faced
This section outlines the core difficulties and pain points the client was experiencing. It provides context on the hurdles that needed to be overcome before achieving the successful outcome.
Manual Contract Review Creating Crippling Delays
Deal desk teams spent days manually reviewing 60-to-160-page contracts, with each iteration requiring coordination across Business units.
Hidden Risk Exposure in Complex Agreements
Contract variations - term reductions, pricing changes, liability shifts were buried in dense legal language.
Cross-Functional Coordination Costs
Every contract modification triggered review cycles across multiple specialized teams.
Akraya’s Strategic Solution
We engineered an end-to-end solution transforming how enterprise contracts are reviewed and analyzed -
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Intelligent Document Understanding Engine
Built using LLMs (GPT-3.5 Turbo, GPT-4) deployed on Azure, the platform ingests contracts of any length, parses them section by section, and applies predefined business rules to identify deviations from standard
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Automated Risk Quantification Framework
The system calculates aggregate contract risk by weighting individual section scores against overall deal value
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Section-Level Comparison & Visualization
Executed templates are compared against standard versions with visual highlighting of every modification
Measurable Outcomes
Operational
160-Page Contract Review Reduced to under 5 Minutes saving a lot of manhours.
Financial
By eliminating 10000+ hours of manual legal review, $8.4M in annual review cost avoided.
Business
Contract cycles compressed from weeks to days, enabling faster time-to-revenue.
Conclusion
Akraya transformed enterprise contract review from a manual, multi-day ordeal into an intelligent, under 5-minute workflow. By deploying LLM-powered analysis with business rule integration, we enabled deal desk, legal, and revenue accounting teams to identify risks instantly, accelerate signature cycles, and prevent revenue leakage.
