Discovery & Review Services

Job Description: eDiscovery and Case Management hosting of 230 GB - Time Frame: 8 weeks

Our client required the extraction, culling and hosting of 1.2 million items for a fast turnaround request from a government regulator. A process strategy was developed to enable the firm to meet the deadlines. Execution included the electronic processing of all the evidence then presentation on a hosted case management platform for native file review. Once privilege and relevance of documents was determined LIO extracted and rendered the appropriate requisite documents in preparation for presentation to the regulator. The job was delivered on time & on budget.

Job Description: 778 GB of data to be reviewed - Cost Savings: $285,000 AUD

Law In Order’s client, a large energy company, was involved in litigation over an environmental matter. Only one lawyer was assigned to the case, overseen by one independent consultant - an especially small team, given the 778 GB of data collected for the case. In an effort to save costs, both sides agreed on a list of keywords to help identify relevant documents. De-duplication culled the client’s original count of 6.6 million documents down to 3 million documents. The list of keywords culled the document count significantly further, down to only 157,000 documents. However, with overly inclusive keywords like “environment” being used, it was evident there were still many non-responsive documents left in the collection to sort out—and that meant a lot of work remained for only one person to review. Law In Order proposed using Relativity Assisted Review. Download the full case study.

Job Description: Novice E-Discovery users required to assess 40GB Lotus Notes Files - Time Frame: 1 week

Our client with no E-Discovery experience had to assess 40 GB worth of Lotus Notes e-mail files. They wanted a quick, low cost option to access the information on hand in order to evaluate the scope of the issues and determine their approach. We ran the files through Venio which gave lawyers access to the data within hours. As the client needed to ascertain how connected the e-mails were in relation to the matter – they wanted a clear picture of the parties involved, our Solutions Consultants ran keyword searches and showed the social network map that visually shows who this person sent emails to which proved to be a great tool to the legal team. The use of Venio allowed for the legal team to complete scoping in 2 days and the Discovery completed within 7 days. The job was delivered earlier than expected and under budget.

Job Description: Regulator request for information, unknown data size & scope - Time Frame: 10 days

Our client was tasked to meet a regulator request for information within a 10 day period. The initial data size was not known, nor was the content or discovery scope. Ultimately we received 400GB of email and free files from the file server. We ran the raw data into Venio and within 24 hours the lawyers were able to look at the first 100 GB batch of information first thing in the morning. We then sat down with the partner and the senior associates of the matter and were able to refine Keywords/Date Range/Custodians elements of the data very very quickly – ultimately there were 150 custodians and 450 individual items. Project was delivered within the time frame.

Job Description: Fast discovery deadline - Time Frame: 3 days

Our client had 1.2TB of data they needed to assess to determine the scope of discovery. We received 1.2TB of data on three hard drives. The data was ingested and indexed into Venio FPR within 3 days, allowing the lawyers to view, search and analyse the documents to accurately determine the best course forward in the matter.

Management Services

Job Description: Last minute request for eTrial - Time Frame: 48 hours

LIO received a call at 5:00 pm on a Friday with an urgent request for quotation for a court ordered eTrial involving the provision of evidence display solution to be managed by Counsel. There were two parties, 5 barristers and 5 lawyers. LIO had already worked with the plaintiff to provide an eCourtbook. The trial was schedule to commence on Monday. LIO responded with a quotation within 10 minutes of the request and received the go ahead from the client to proceed by 5:40 pm. LIO worked through the weekend to ensure all the logistics were secured and set up the eTrial ready for proceedings to begin the following Monday at 10 am.

Relativity

Job Description: Rising business demand in 2017 meant larger and more complex jobs.

 

We had been relying on a legacy solution for processing our data into Relativity. When we took on an enormous job involving a company splitting into two entities, we knew our existing processing solution was not equipped to handle a project of this magnitude.

“Our team was manually mapping data fields and managing multiple imports and exports,” said Murali Baddula, Head of e-Discovery at Law In Order. “Handling multiple data footprints was becoming tedious, and our storage costs to manage these systems were adding up.”

We had been considering Relativity Processing. This huge job — 8.5 TB of data with nearly 32 million documents — would be the perfect opportunity to put it to the test before full adoption.

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Go Big or Go Home

Our client tasked us with analyzing its assets and identifying which documents belonged to the entity of the company that was sold off.

Rolf Behrens, Review Solutions Manager at Law In Order, strategised about the best way to get the data in front of review teams as quickly and accurately as possible.

“We were collecting and receiving continuous amounts of large data, so we couldn’t just hit and go,” Rolf explained. “With a broad collection of 32 million documents, we needed to cull junk data and only promote data relevant for review.”

Law In Order partnered with the Relativity Customer Success team to get the 8.5 TB of case data imported into Relativity Processing.

Then, devising a plan of attack to navigate the enormous data set, the e-Discovery team started an early case assessment (ECA) workflow to promote reviewable documents to reviewers. By doing so, the team parsed out specific file types within personal storage files—like emails, calendar items, and contacts—and applied de-duplication to reduce the amount of data from the get-go.

Law In Order’s prior solution involved loading data in phases, manually mapping fields, and continuously importing and exporting data, according to Murali.

“By the time our data was ready for review, we would have already quadrupled the data,” Rolf said. “With Relativity, we can just point and shoot, and the data is ready for attorneys to start reviewing immediately.”

Reduced by 75%

Using Relativity Processing and ECA reduced our overall data footprint by 75 percent with a 25 percent cost savings. In the second week of the project, Murali and Rolf had the following conversation over Skype:

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“The project’s results gave us the confidence we needed to adopt the entire Relativity platform for all our jobs,” Murali said. “We can continue to deliver top quality results to our clients in a fraction of the time.”

Download the full case study

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