Case Study: Automation of Corporate Investment Contract Document Completeness and Compliance Checks

Client: Leading Financial Firm

Consulting Company: VerticalServe

Implementation Period: 6 months

Technologies Used: NLP, Data Classification Models, Google BERT, MLOps Pipelines, Entity Extraction, UI Application

Background: A leading financial firm was facing challenges with manual validation of corporate investment contract documents. The process was time-consuming, error-prone, and costly, resulting in delays and potential regulatory risks. The firm approached VerticalServe to develop an automated solution to streamline the document completeness and compliance checks using advanced technologies such as Natural Language Processing (NLP) and Machine Learning (ML).

Objective: To design and implement an automated solution to enhance the efficiency, accuracy, and compliance of corporate investment contract document checks by leveraging NLP, ML, and Google BERT.

Solution: VerticalServe developed a comprehensive solution with the following components:

1. Data Classification Models: Using Google BERT, an advanced NLP model, VerticalServe created data classification models to automatically categorize and analyze the content of corporate investment contract documents.
2. Entity Extraction: The solution employed NLP techniques to extract relevant entities, such as parties, contract terms, and clauses, from the unstructured text of the documents, enabling targeted compliance checks.
3. MLOps Pipelines: VerticalServe implemented MLOps pipelines to automate the training, deployment, and monitoring of the data classification and entity extraction models, ensuring continuous model optimization and performance improvement.
4. UI Application for Review and Correction: A user-friendly UI application was developed to allow compliance officers to review the extracted information, make corrections if necessary, and provide feedback to improve the ML models’ accuracy.
5. Integration with Existing Systems: The automated solution was seamlessly integrated with the firm’s existing document management and compliance systems to streamline the entire contract review and approval process.

Results:

• Enhanced Efficiency: The automated solution reduced the time required for contract document checks by 70%, allowing the firm to process more contracts in less time and allocate resources to higher-value tasks.
• Improved Accuracy: The use of advanced NLP and ML techniques resulted in a 90% reduction in errors, ensuring more accurate and consistent document checks.
• Reduced Compliance Risk: The automated solution enabled the firm to conduct more comprehensive and consistent compliance checks, reducing the risk of regulatory penalties and reputational damage.
• Continuous Improvement: The MLOps pipelines and UI application allowed for continuous model optimization and performance improvement based on user feedback and evolving regulatory requirements.
• Scalable Solution: The cloud-based architecture and modular design of the solution facilitated easy scaling and adaptation to accommodate changing business needs and additional document types.

The automated solution developed by VerticalServe significantly improved the efficiency, accuracy, and compliance of the corporate investment contract document checks process, reducing the firm’s operational risks and costs. The firm has since expanded the solution to other document types and regulatory areas, further enhancing its overall compliance management capabilities.

About:

VerticalServe Inc — Niche Cloud, Data & AI/ML Premier Consulting Company, Partnered with Google Cloud, Confluent, AWS, Azure…50+ Customers and many success stories..

Website: http://www.VerticalServe.com

Contact: contact@verticalserve.com

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