Case Studies

This Japanese company is an excellent example of how  today’s international environment demands effective ways to manage multilingual eDiscovery. As a result of direct feedback from Capital Novus clients, the enhanced features and processes discussed in this Case Study are now directly integrated within the eZSuite.

The company needed a scalable, fast platform to integrate with these multiple review cases, to organize and manage the entire data set, and ensure consistency in the assertion of privilege, work product, and production. De-duplication was needed across the entire 10 TB universe of data to minimize storage space, . . . and document information automatically pushed to the  appropriate review databases.

eZReview was seamlessly installed behind a global law firm’s firewall in two (2) days, and within 20 minutes one-hundred (100) first pass reviewers had been trained and were reviewing documents. Also, the 800 GB of data that had been collected from the firm’s client in an unfocused way was analyzed and culled down to 25% of its original size using eZProcess in the processing stage – avoiding the need to load the entire 800 GB into the document review tool.

Task Management combined with Quantitative Analysis (including resource utilization, process modeling and time and cost analysis) significantly reduces waste, eliminates duplication of effort and improves decision making.

Effective Data Management improves e-Discovery and distinguishes high performing law firms. Providing a full accounting of data management, smart law firms are distinguishing their practices by winning cases and growing market share.

Not every case requires advanced analytics. However, when the opportunity is present, and it is not always known at the onset, there are enormous advantages to having the right technology available in a single, comprehensive e-Discovery system. Leveraging a single repository eliminates the risks associated with using separate solutions in a piece-meal fashion

Personal information such as Social Security Numbers (SSNs) was automatically identified and then redacted from an eDiscovery data set using pattern matching and persistent highlighting.  As a result of this automation and other efficiency tools, the Capital Novus eZSuite supported a significant reduction in the size of the data and the cost of attorney review.

EZReview facilitated privilege redactions by six joint parties, presenting them in an overlapping, transparent, color-coded manner on a single set of documents that allowed the Judge and the other defendants to identify the asserting party and approve the redactions before they were burned into the documents for production purpose

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