Relativity (formerly kCura) is a data e-discovery solution supporting litigation, government inquires, internal investigations and data governance policies within a secure cloud platform, from the company of the same name headquartered in Chicago.
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Relativity
Considered Both Products
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Chose Relativity
It’s pretty similar. They are both good but Relativity has been really great with organization and tagging. My team can get documents downloaded and sent quickly. I can access from anywhere and good support staff. Epiq has similar features but not as easy to use. Download time …
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Very good compared to Nuix Discover It cannot compare to Canopy given Canopy is more interface and features are more catered to Cyber Breach PII review
Relativity contains all the features together in a single platform. And most of all other than Brainspace none of the other tools have document review capability as good as Relativity has.
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 …
Over the years I've evaluated multiple tools and platforms. All the competing tools are getting better, but kCura has really embraced incorporating customer and user feedback into improving their tool. For litigation, it's really the "gold standard" that other tools are …
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.
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
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.