Relativity vs. Reveal Live EDA

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

Ipro for desktop is well suited for organizations that issue many business opportunities and want to give potential vendors a transparent place to view and respond to these opportunities. When there are multiple factors and areas of information to be addressed, Ipro for desktop is beneficial in facilitating this. Ipro for desktop is less appropriate for small organizations with simple procurement processes.

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

• Save in-progress work.
• Address organization specific questions.
• View multiple business opportunities issued by user.

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

• Poor UI/UX.
• No ability for live collaboration in documents.

Incentivized

I have not used support for Ipro for desktop

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

• Opportunity to respond to organization procurement needs.
• Ability to address specific needs of an organization.

Incentivized