eBrevia Review - Features, Pricing & Deals

eBrevia is an AI-powered contract review and management tool that helps legal teams and businesses process large volumes of documents efficiently. The software uses natural language processing and machine learning to analyze contracts and extract important data automatically.

Founded in 2011 as a project at Columbia University and now based in Miami, the platform serves law firms, corporations, and consulting companies. The software can scan over 50 documents per minute while maintaining high accuracy levels. Users can customize the tool to detect specific provisions and data points relevant to their needs.

The system offers both cloud and on-premise options, integrating with common business tools like SharePoint, Box, and Salesforce. Security features include strong encryption and SOC 2 Type 2 certification. Recently, eBrevia expanded its offerings with DraftPro, a tool that helps create and manage agreements using an extensive clause library.

Pricing varies based on document volume, with custom enterprise licenses available. While the basic package starts at $10,000 for 1,000 documents, larger organizations can contact the company directly for tailored quotes that match their specific requirements.

Online Reviews (Last 6 Months Summarised)

eBrevia is a solid AI-powered contract analysis tool that's gaining traction for its impressive efficiency. Users consistently praise its ability to slash manual review time by up to 90% and provide accurate contract insights. The software stands out for its intuitive interface and customization options, making it accessible even to those without deep technical skills.

However, it's not without drawbacks. Some users find the administrative panel slightly clunky, and while the AI is remarkably accurate, it still requires human oversight for critical decisions. Despite these minor issues, eBrevia appears to be a reliable productivity booster that can significantly streamline contract review processes across various industries.

Features

  • AI-Powered Contract Analysis: Uses natural language processing and machine learning to quickly scan and extract key data from large document volumes, saving time and improving accuracy in contract review.
  • Customizable Training Portal: Lets non-technical users easily train the software to detect specific provisions and data points, adapting the tool to unique business needs.
  • High-Speed Document Processing: Scans over 50 documents in under a minute, delivering significant time savings compared to manual review methods.
  • Advanced Integration Capabilities: Seamlessly connects with popular tools like SharePoint, Salesforce, and Box, ensuring smooth workflow across different platforms.
  • Secure Data Management: Provides bank-grade security with powerful encryption and SOC 2 Type 2 certification to protect sensitive contract information.
  • Flexible Deployment Options: Offers both cloud and on-premise solutions to match diverse organizational infrastructure requirements.
  • Comprehensive Support Services: Provides 24/7 expert support and access to advanced features like DraftPro for creating and managing agreements.

Pricing

  • eBrevia's pricing is based on the number of documents uploaded for review, with custom enterprise licenses negotiated individually.
  • Reviewing 1,000 documents costs approximately $10,000, while processing 10,000 documents can cost around $62,000.
  • Specific pricing details are not publicly available and require direct contact with the company for a customized quote.
  • Pricing typically depends on factors like document volume, complexity of analysis, and level of support needed.

Frequently Asked Questions

How accurate is eBrevia's AI contract analysis?

eBrevia's AI-powered contract analysis offers between 10-60% greater accuracy compared to manual review methods. The system uses natural language processing and machine learning to recognize patterns in legal language. While it's very reliable, most users still recommend a quick final human review for critical documents. The accuracy improves over time as you use the system more, especially if you take advantage of the customization features to train it for your specific needs.

Can I use eBrevia if I'm not technically savvy?

Yes! eBrevia was designed with non-technical users in mind. You don't need coding skills or AI expertise to use it effectively. The platform has a bespoke training portal that makes it simple for legal professionals and business users to train the system to identify custom provisions. Most users report being comfortable with the system after just a short introduction, though the admin panel might take a bit more time to master.

How long does it take eBrevia to process documents?

eBrevia processes documents incredibly fast - it can scan over 50 documents in under a minute. This speed translates to time savings of 30-90% compared to manual review methods. The exact processing time depends on document length and complexity, but users consistently report dramatic improvements in their workflow efficiency. For context, what might take a legal team days to review can often be processed by eBrevia in just hours.

What security measures does eBrevia have in place?

eBrevia takes security seriously with bank-grade encryption for all data. The platform holds SOC 2 Type 2 certification, which means it meets strict information security standards. You can choose between cloud-based or on-premise deployment depending on your security requirements. Many law firms and financial institutions with strict security protocols use eBrevia confidently, which speaks to its robust security features.

Can eBrevia integrate with my existing document management systems?

Yes, eBrevia plays well with most popular document management systems. It offers integrations with Venue, SharePoint, Box, iManage, Salesforce, and many others. This flexibility means you can easily incorporate eBrevia into your current workflow without disrupting your existing processes. If you're using a less common system, their support team can help determine compatibility or suggest workarounds to ensure smooth data flow between platforms.

Last Updated
March 4, 2025 13:14

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