Metadact Ratings (September 2025)
This page breaks down Metadact 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 Metadact’s overall reputation. This data-driven overview will show you exactly how Metadact is rated - including how it compares to competitors.
Metadact's Overall Rating Summary
- Average Rating:4.3/5
- Total Reviews:11 reviews
- Sources:G2
- Last updated:September 1, 2025
Metadact Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.3/5 | 11+ reviews | 01.09.25 |
What is Metadact?
Litera offers a range of legal software solutions including Litera Draft for document drafting, Litera Create for templates and content creation, Litera Check for proofreading and styling, and Litera Compare for document comparison. Metadact enhances data loss prevention by cleaning metadata and securing collaboration, with seamless integration into Microsoft Outlook and customizable settings for actionable insights. Other products include Kira for AI contract review, Litera Transact for transaction management, and Foundation for knowledge management in law firms.
🤔 Metadact vs Competitors: How Do Ratings Compare?
Check out Metadact AlternativesFrequently Asked Questions
How trustworthy is Metadact?
According to G2 review site Metadact holds rating of 4.3/5, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is Metadact rated?
Metadact has an average star rating of 4.3 out of 5 stars based on average of 11 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Metadact public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Metadact 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.