Sirion CLM Ratings (September 2025)
This page breaks down Sirion CLM ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Sirion CLM’s overall reputation. This data-driven overview will show you exactly how Sirion CLM is rated - including how it compares to competitors.
Sirion CLM's Overall Rating Summary
- Average Rating:4.9/5
- Total Reviews:239 reviews
- Sources:G2, Gartner, Facebook
- Last updated:September 1, 2025
What is Sirion CLM?
Sirion offers an end-to-end CLM solution with features like Contract Extraction, Intelligent Repository, Conversational Search, Contract Authoring, AI Contract Review, and AI Contract Redline. The platform enables teams to collaboratively manage contract obligations, compliance, and operations, leveraging AI to store contracts intelligently, perform conversational searches, and create airtight contracts. Recognized for its industry-leading AI technology, Sirion provides significant advances in contract management, including faster contract review cycles, lower spend leakage, and faster deal closures.
🤔 Sirion CLM vs Competitors: How Do Ratings Compare?
Check out Sirion CLM AlternativesFrequently Asked Questions
How trustworthy is Sirion CLM?
According to Gartner and G2 review sites Sirion CLM holds ratings of 4.9/5 and 4.5/5 respectively from 226 reviews, highlights excellent reputation and user approval as of September 2025.
How many stars is Sirion CLM rated?
Sirion CLM has an average star rating of 4.9 out of 5 stars based on average of 239 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Sirion CLM public reviews pages on platforms: G2, Gartner, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Sirion CLM is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.