Services We Delivered
Artificial Intelligence and Machine Learning
Industry
Legal
The Client
Our client is a leading national law firm with a team of over 500 attorneys and government professionals, serving a diverse portfolio of regional, national, and international clients. The firm is known for advising some of the most high-profile and forward-thinking organizations in the country, including more than 40% of Fortune 500 companies.
The Challenge
The client operated at the center of syndicated loan transactions, managing complex interactions between lenders and borrowers. Each deal involved multiple critical documents: Credit Approval, Term Sheet, and Credit Agreement, all of which required careful review and alignment.
Key challenges included:
- Complex, unstructured documents: Lengthy legal agreements with dense clauses made extraction and interpretation difficult
- Cross-document inconsistencies: Misalignment between deal documents increased the risk of errors and oversight
- Manual review bottlenecks: Clause-by-clause validation slowed down deal processing timelines
- Increased risk exposure: Missed discrepancies could lead to legal, financial, and compliance issues
- Lack of standardization: No structured framework (e.g., LSTA-based comparison) to evaluate deviations consistently
The Solution
To address these challenges, Maruti Techlabs developed an AI-powered syndicated loan platform that automates document processing, validation, and risk analysis. The solution brings together multiple AI capabilities into a unified workflow, enabling faster, more accurate, and scalable deal execution.
Core capabilities included:
- Automated document ingestion: Upload and process multiple deal documents asynchronously
- AI-powered text extraction: Convert unstructured PDFs into structured, machine-readable data
- Clause-level comparison: Identify and classify deviations using LSTA-based standards
- Cross-document validation: Detect inconsistencies across Credit Approval, Term Sheet, and Credit Agreement
- Key data extraction: Extract 32 critical data points for structured analysis
- Commitment letter generation: Automatically draft documents based on validated inputs
- Chat with documents: Enable natural language querying for quick insights
The Results
The implementation of the platform transformed a manual, document-heavy workflow into an intelligent, automated system delivering measurable improvements in efficiency, accuracy, and risk management.
Key outcomes included:
- 60–70% reduction in manual review effort
- 3x faster deal processing
- 95%+ improvement in accuracy
- 40% reduction in risk exposure
- 2x increase in team productivity
- 50% faster access to key deal information