Index and Search In-Place Workflows Key to Reducing eDiscovery Costs and Risks

By John Patzakis

Most core eDiscovery costs (outside of attorney review) stem from over-collection of electronically stored information (ESI). While direct collection costs can seem inexpensive, law firm Nelson Mullins notes that “over preservation tends to have its own costs relating to storage of large amounts of electronically stored information (ESI) and the resources needed to manage it; leads to increased downstream e-discovery costs associated with collection, processing, and review.”

Traditional eDiscovery workflows typically involve broad and manual collection efforts, followed by on-premise hardware-based processing, and finally upload to review. These inefficiencies extend projects by often weeks while dramatically increasing cost and risk with bloated data volumes and many manual data handoffs.

Proportionality-based eDiscovery is a goal that all judges and corporate attorneys want to attain. Under Federal Rule of Civil Procedure 26(b)(1), parties may discover any non-privileged material that is relevant to any party’s claim or defense and proportional to the needs of the case. However, attorneys representing enterprises are essentially flying blind on this analysis when it matters most. Prior to the custodian data being actually collected, processed and analyzed, attorneys do not have any real visibility into the potentially relevant ESI across an organization. This is especially true in regard to unstructured, distributed data, which is invariably the majority of ESI that is ultimately collected in a given matter.

If accurate pre-collection data insight were available to counsel, that game-changing factor would enable counsel to set reasonable discovery limits and ultimately process, host, review and produce much less ESI. Counsel can further use pre-collection proportionality analysis to gather key information, develop a litigation budget, and better manage litigation deadlines. Such insights can also foster cooperation by informing the parties early in the process about where relevant ESI is located, and what keywords and other search parameters can identify and pinpoint relevant ESI.

A solution to these challenges is the utilization of index and search in-place technology. Indexing and search in-place in this context means that a software-based indexing technology is deployed directly onto file servers, laptops or even in the cloud to address cloud-based data sources. This indexing occurs without a bulk data transfer of the data. Once indexed, the searches are performed in a few seconds, with complex Boolean operators, metadata filters and regular expression searches. The searches can be iterated and repeated without limitation, which is critical for large data sets.

Mandi Ross, CEO at Insight Optix explained how she applies proportionality when advising lawyers and judges through custodian interviews, coupled with detailed keyword search term analysis based upon the matter’s specific claims and defenses. She noted that technology such as X1 greatly enables the application of her practice in real time: “The ability to index in place is a game-changer because we have the ability to gain insight into the data and validate custodian interview data without first requiring that data to be collected.”

But it is important that the technology employed truly enables index-in-place, with the indexes deployed directly onto the laptops, file shares or cloud servers where the data exists. Some providers will market their tools as such, but the indexing and searching actually takes place in their platform at a central location. Data must first be copied and collected off of laptops and file servers and migrated over the network to get the indexing engines.  This does not scale for eDiscovery. For information about X1’s index-in-place technology, X1 Enterprise Platform, please visit us here.  

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Filed under Best Practices, eDiscovery, Enterprise eDiscovery, ESI, Preservation & Collection, proportionality

Dark Data is an Unmet Cyber Security Challenge

By John Patzakis

Enterprises today are creating and storing massive volumes of unstructured, data distributed across the enterprise at a very fast pace. IT experts refer to this data type as “dark data.” Research advisory firm Gartner defines dark data as “the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes.” according to Rahul Telang, professor of information systems at Carnegie Mellon University, “[o]ver 90% of the data in business is dark data.”

Dark data exists due to organizational silos and a highly distributed and mobile workforce, a trend that proliferated during the COVID pandemic and has now solidified as the new normal. As a result, there is a proliferation of unmanaged data stored in file shares, laptops, unarchived email accounts, shared cloud drives such as OneDrive and Dropbox and many other repositories. According to Anthony Juliano, CTO of Landmark Ventures, “dark data is exploding rapidly with the dissolution of the perimeter; it’s a largely unaddressed risk vector. A vast majority of the CIOs and CISOs I speak with are now prioritizing solving this problem not only going forward, but also backwards – and it’s not easy.”

Cyber security platforms generally have a good handle on perimeter integrity, encryption, and other key priorities such as zero day network attacks and malware. However, while these measures are clearly important, distributed dark data is largely a blind spot for cybersecurity tech, and as such organizations have very little visibility into the content of such data. GDPR, CCPA and other recent privacy regulatory requirements add increased urgency to this challenge.

CISOs and legal and compliance executives often aspire to implement information governance and security programs like defensible deletion, data migration, and data audits across their unstructured data to detect risks and remediate non-compliance. However, without an actual and scalable technology platform to effectuate these goals, those aspirations remain just that.

One tactic attempted by some CIOs to attempt to address this daunting challenge is to periodically migrate disparate data from around the global enterprise into a central location, such as an archiving platform. But boiling the ocean through data migration and centralization is extremely expensive, highly disruptive, and frankly unworkable for numerous reasons. While such a concept may seem like a good idea when drawn up on the whiteboard, originations quickly learn that you cannot just migrate hundreds of terabytes of distributed dark data to an archive, mainly due to network bandwidth and other logistical constraints, as well as the reality that you are merely copying and duplicating the data being migrated, which actually makes the situation worse.

Another tactic is data loss prevention (DLP). Again, this approach is thwarted by the new normal of a distributed, global workforce. Additionally, DLP tools are traditionally hampered by an inability to have deep content insight to unstructured data, resulting in false positives, inaccurate classification and unacceptable disruption to employee and business workflows.

What has always been needed is gaining immediate visibility into unstructured distributed data across the enterprise in-place, through the ability to search and report across several thousand endpoints, file shares and other unstructured data sources, and return results within minutes instead of days or weeks. None of the other approaches outlined above come close to meeting this requirement and in fact actually perpetuate information security and governance failures.

Born and bred to address global eDiscovery challenges, X1 Enterprise platform (X1E) represents a unique approach to dark data, by enabling enterprises to quickly and easily search across multiple distributed endpoints and data servers in place through a true distributed, parallelized computing architecture. Legal, security and compliance teams can easily perform unified complex searches across both unstructured content and metadata, obtaining statistical insight into the data in minutes, instead of days or weeks. With X1E, organizations can also automatically migrate, collect, or take other action on the data as a result of the search parameters. Built on our award-winning and patented X1 Search technology, X1E is the first product to offer true and massively scalable distributed searching that is executed in its entirety on the end-node computers for data audits across an organization. This game-changing capability vastly reduces costs while greatly mitigating risk and disruption to operations.

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Filed under CaCPA, Cyber security, eDiscovery & Compliance, GDPR, Information Governance, Information Management

eDiscovery Services Are Undergoing a Major Transformation

By John Patzakis

Recent research from industry analyst Greg Buckles at the eDiscovery Journal highlights soaring valuations for eDiscovery tech firms.  For the first time in the history of the industry, multiple eDiscovery tech firms have gone public in a single year, and by my count, there are at least seven tech “Unicorns” (a company with at least a billion dollar valuation) in the space. Relativity leads the way with at least a $3.6 billion valuation based upon their latest financing.

Yet while technology-based providers are seeing escalating valuations, valuations and M&A activity for pure services firms are conversely softening. This is because tech automation is finally catching up to this space. Traditional eDiscovery services typically involve manual collection, followed by manual on-premise hardware-based processing, and finally manual upload to review. These inefficiencies extend projects by often weeks while dramatically increasing cost and risk with many manual data handoffs. However, the first half of the EDRM involving collection and processing are now far more automated than they were even a few years ago. For instance, the one aspect of eDiscovery tech that is actually seeing decreasing usage and revenues are standalone processing appliances. This is because these tools are dependent upon the efficient manual services model prior to ingestion and also post import.

However, the latest in eDiscovery collection technologies will now combine targeted collection with previously manual processing steps that are performed “on the fly” and in the background so that the data is automatically collected, processed and uploaded into a review platform such as Relativity in one fell swoop. Better yet, processing is now free with RelativityOne. The automation Relativity is engineering, including with their integration with X1, along with innovations by other review platforms, is rendering traditional eDiscovery processing tech obsolete, along with manual collection and processing services. The purchasers of eDiscovery services and software have clearly noticed and are demanding adaptation from vendors.  

So how can services firms adapt to the inevitable? Here are few strategies:

First, services firms should move upstream to focus on information governance and privacy consulting. The new generation of eDiscovery technology enables convergence with privacy (i.e. GDPR compliance) information security and many other information governance use cases. This convergence requires high-end strategic consulting to bring these processes together and operationalize them. This also enables services firms to develop direct and ongoing relationships with corporate law departments, IT and other key corporate stakeholders.

Second, data analytics consulting, which is already a prominent offering by many firms, is ripe for further expansion. This is because analytics for eDiscovery is becoming more advanced and user friendly, and thus is able to be applied across the eDiscovery workflow, including pre-collection analytics and information governance.

Third, services firms should find ways to develop or otherwise acquire their own differentiating tech or establish meaningful partnerships with tech platform providers. These partnerships should entail more than merely using the software, but the development of proprietary workflows or even technical integrations that enable unique service offerings.

At the end of the day, eDiscovery is a technical process that is subject to technology disruption just like any other technology-based services industry. eDiscovery services firms that not only adapt to but embrace this change as a strategic opportunity will be the ones who prosper the most.

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Filed under Best Practices, eDiscovery, eDiscovery & Compliance, GDPR, Information Governance, Preservation & Collection, Uncategorized