Review contracts faster.
Keep people in control.
An NLP solution flags the clauses that need attention, helping reviewers focus their expertise where it matters.
A global pharmaceutical organisation
The challenge
A global pharmaceutical organisation works with many 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.
All contracts used to be collected and reviewed by hand: a time-consuming process, prone to human error and at risk of non-compliance. Making sure each document contained specific legal elements was essential to avoid legal or regulatory issues.
The solution
Common Sense AI developed a custom natural language processing (NLP) solution that automatically verifies key elements in contracts and flags the ones that need attention.
The solution included:
- A machine learning model trained to detect and validate required legal clauses and regulatory terms
- A web application where team members review flagged contracts and follow the status of past validations
- Integration with robotic process automation (RPA) tools that retrieve contracts and route them for analysis
This setup automates part of the work and keeps people in control: the right balance between speed and oversight.
The result
Contract review time dropped by about 30%.
- More consistent identification of compliance issues
- More time for strategic work, with less manual document handling
- An auditable system that tracks past contract checks and their outcomes
The review process is now faster, more reliable and easier to scale across regions and partners.