Relativity vs. Reveal Review

Relativity is well suited for all the eDiscovery workflows. It's excellent for document review, coding, active learning, content and structured analytics, searches, persistent highlights, imaging, and burning redactions into productions. The error rates with processing in Relativity are a little compared to other eDiscovery processing tools in the market. It is solely for document review purposes legal scenarios or otherwise, but it is not a complete solution for building customized hosting nor neither it is a replacement for conventional websites.

Incentivized

• Searching for documents and native files with various terms and approaches.
• Tagging documents and native files for further review.
• Creating and downloading collections of documents and native files for depositions.

Incentivized

• Very powerful tool, but does require a high level of expertise and head count to administer the product.
• If hosting yourself, requires investment in servers and ideally is housed in a data center
• Providers need to pay kCura a monthly user license fee for every user who has access to the tool. Providers can purchase blocks of users, but with a large amount of users on a case, it's cost that some external clients are not thrilled about

Incentivized

It has the ability to provide all discovery features under one roof. It is adept for working in the data discovery domain with efficiency. Globally renowned software with features that are not available in many tools. Automation is a plus and Active learning in relativity is the absolute example of its class.

Incentivized

• Saves time spent searching for documents and native files.
• Easy to download materials when needed.
• Can share collections of materials across team members in other offices.

Incentivized