The Challenge

A global pharmaceutical organization works with numerous external partners under legally binding contracts. These contracts must comply with strict regulatory and business quality guidelines, and are validated by the company’s global quality team.

Previously, all contracts were collected and reviewed manually, a process that was time-consuming, prone to human error, and at risk of non-compliance. Ensuring that each document included specific legal elements was essential to avoid potential legal or regulatory issues.

The Solution

To streamline this review process, Common Sense AI developed a custom Natural Language Processing (NLP) solution to automatically verify key elements within contracts and flag any that require attention.

The solution included:

• A machine learning model trained to detect and validate required legal clauses and regulatory terms

• A user-facing web application that allows team members to review flagged contracts and monitor the status of past validations

• Seamless integration with robotic process automation (RPA) tools to retrieve and route contracts for analysis

This setup enabled partial automation with the flexibility for human oversight, striking the right balance between speed and control.

The Result

The global quality team now benefits from:

• A ~30% reduction in contract review time

• Greater consistency in identifying compliance issues

• More time for strategic tasks, with less manual document handling

• An auditable system to track past contract checks and outcomes

This intelligent automation solution has made the review process significantly faster, more reliable, and easier to scale across regions and partners.