Governance
Natural Language Processing
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AI-powered contract review helps a global pharmaceutical organisation handle growing contract volumes without adding more manual work. By automating repetitive compliance checks while keeping experts in control of final validation, the solution reduces review time by 30%, improves consistency and helps quality teams focus on higher-value work.
A global pharmaceutical organization works with a large network of external partners, each requiring legally binding contracts that comply with strict regulatory and business requirements. Every contract had to be reviewed by the global Quality team before it could be validated.
With growing contract volumes, this manual process became a bottleneck. Reviewing documents was time-consuming and prone to human error, while missing required clauses or regulatory elements could create legal and compliance risks.
The organization needed a way to speed up contract validation without compromising the quality and control of the review process.
1
30% reduction in contract review time.
2
More consistent compliance checks across contracts.
3
Less manual work through AI and intelligent automation.
Common Sense AI developed a custom Natural Language Processing (NLP) and machine learning solution to automatically analyse contracts and identify required legal clauses and regulatory terms.
The solution combines several components:
Rather than fully replacing human review, the solution automates the repetitive checks and leaves users in control of the final validation. This creates a balance between automation, efficiency and human oversight.
The solution reduced contract review time by approximately 30%, while making compliance checks more consistent.
The quality team can now spend less time manually handling contracts and more time on higher-value, strategic tasks. At the same time, the application provides an auditable overview of previous contract checks and their outcomes, making the process easier to monitor and scale.
This case shows how AI can take on repetitive document checks in highly regulated environments while keeping people firmly in the loop.
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