Combining production-level imaging and electronic discovery processing in one application, CloudNine LAW is designed to give faster access to the most relevant document sets–at a fraction of the cost. CloudNine in Houston acquired LAW from LexisNexis in 2018. They now continue to support and develop the product.
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Relativity
Score9.2 out of 10
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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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Pricing
CloudNine LAW
Relativity
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CloudNine LAW
Relativity
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
CloudNine LAW
Relativity
Considered Both Products
CloudNine
No answer on this topic
Relativity (formerly kCura)
Verified User
Chose Relativity
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
In cases involving massive datasets (I.e. regulatory investigations, cross-border litigation), Relativity's powerful search, deduplication, and technology-assisted review features enable fast, accurate identification of relevant documents. For example, we used it in a front-running investigation involving a large asset management firm, where Relativity streamlined data review across multiple custodians. There are multiple use case available.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Relativity is a well established tool that continues to evolve and look for ways to improve. Particular focus on Australian workflows is very promising for us and appreciated. There is a lot of scope for improvement in the processing and PDF workflows but it is great to see Relativity being proactive in those areas
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
