Category Archives: law firm

Index-In-Place eDiscovery Tech is in High Demand, but Beware of False Vendor Claims

By John Patzakis

Proportionality-based eDiscovery is a goal that all in-house corporate legal teams 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, most core eDiscovery costs (outside of attorney review) stem from over-collection of electronically stored information (ESI), and over-collection thwarts the ability to attain proportionality. 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.”

This is why accurate pre-collection data insight is a game-changing capability that enables 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.

And the means to enable this capability is distributed 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 fileservers, laptops, or in the cloud to address cloud-based data sources. This indexing occurs without a bulk transfer of the data to a central location. 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.

However, with this capability being highly valued, many vendors have parroted this messaging, but have offerings that do not qualify as true index-in-place. True distributed index-in-place means that the search indexes are forward-deployed, and are actually installed on the target laptop, Mac computer, fileserver or into the cloud near where the target cloud data sources exist. Transferring data in bulk to a central appliance or server farm via a collector agent or Robocopy function does not qualify. A true index-in-place capability uniquely enables scalability, targeted collection and also minimizes security and data governance risks in eDiscovery and information governance matters.

Conversely, a process requiring massive data copying, migration and centralization does not scale and creates significant data, governance and privacy issues by needlessly duplicating data. For instance, if a matter requires that 10 terabytes be scanned to determine if relevant ESI exists within that data corpus, and the eDiscovery collection platform being used has no index-in-place capability, then all 10 terabytes must be copied and transferred to the tool for indexing and analysis. These limitations stem from tool vendors simply utilizing open source indexing platforms like Lucene or Elastic Search that are not forward-deployable and must reside in centralized locations with a very large amount of computing resources to make them viable for the type of data and data volumes typically seen in discovery and information governance matters.

This is why X1 leverages proprietary and patented index and search technology that is readily forward deployable and thus can scale and allow true distributed indexing in-place. X1 Enterprise Collect significantly streamlines the eDiscovery workflow with integrated culling and deduplication, thereby eliminating the need for expensive and cumbersome ESI processing tools. That way, the ESI can be populated straight into Relativity from an X1 collection without multiple hand offs, extensive project management and inefficient data processing.

The ability to directly and transparently collect data from custodian laptops, desktops, Microsoft 365 and other cloud sources into a RelativityOne/Relativity workspace is a game-changer that enables attorneys to begin review in hours rather than weeks.

For a demonstration of the X1 Enterprise Collect Platform, contact us at sales@x1.com. For more details on this innovative solution, please visit www.x1.com/x1-enterprise-collect-platform.

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Filed under Best Practices, Cloud Data, Corporations, ECA, eDiscovery, Enterprise eDiscovery, ESI, law firm, Preservation & Collection, proportionality

Microsoft 365 Modern Attachments Pose Significant eDiscovery Challenges and Risk

By John Patzakis

In their excellent publication, 2023 eDiscovery Case Law in Review, Winston and Strawn, LLP, one of the top law firms in the US, highlights the challenges legal and eDiscovery professionals face with modern attachments. Modern attachments, also known as hyperlinks, are URL pointers that link to files or emails stored in another location. They are commonly found in Microsoft 365 Mail and Teams.

Winston and Strawn reports that “[r]equesting parties are increasingly sophisticated about this issue given the proliferation of Microsoft 365…and thus we have noted an uptick in requesting parties demanding that linked attachments be produced along with transmittal emails—in essence demanding that traditional email families be assembled from these pieces.” In re StubHub Refund Litig., 2023 WL 3092972 (N.D. Cal. April 25, 2023) is a case cited by the authors as a recent decision requiring the production of modern attachments in discovery.

The one area I disagree with in the report is its view that without investing in expensive services and Microsoft Premium licensing it may be very challenging and burdensome to identify and collect modern attachments. If you rely on Microsoft Purview for eDiscovery compliance and information governance, you must upgrade to expensive premium licensing that can add up to tens of millions of dollars in additional expense for larger enterprises. And even then, there are significant throughput and defensibility challenges.

eDiscovery service providers have stepped into the mix to provide manual services to address MS 365 challenges. But throwing services at the problem is disruptive, inefficient, and expensive as well.

X1 provides a different approach. X1 Enterprise Collect provides full support for modern attachments in MS Mail and in Teams. X1 is the only solution we and our partners are aware of that supports the search and collection of modern attachments in MS 365 without the need for a Premium (E5) license or additional manual services. This is because X1 Enterprise Collect does not operate by simply making bulk calls to the MS Graph API, like most eDiscovery tools, which also require a premium license to collect the key data such as modern attachments. X1 employs a targeted, custodian-based approach that minimizes 365 API calls, and does not rely on the MS Search Index, which has been demonstrated to be untrustworthy and with limited throughput. X1’s approach enables a very scalable, defensible, and robust data collection at speeds 10x that of other approaches.

The X1 Enterprise Collect Platform is available now from X1 and its global channel network in the cloud and on-premise. For a demonstration of the X1 Enterprise Collect Platform, contact us at sales@x1.com. For more details on this innovative solution, please visit www.x1.com/x1-enterprise-collect-platform.

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Filed under Best Practices, Case Law, Cloud Data, Corporations, eDiscovery, Enterprise eDiscovery, ESI, law firm, MS Teams, OneDrive

Court Decision in Lubrizol vs. IBM Provides Important Guidance on MS Teams Discovery

By John Patzakis

Recently, a federal district court in Ohio issued a ruling concerning an eDiscovery dispute involving both Teams and Slack, Lubrizol Corp. v. IBM Corp., No. 1:21-CV-00870-DAR (N.D. Ohio May 15, 2023). This decision is important as it provides and serves as a template and guidepost on how to collect and produce messages from MS Teams, a challenge which many litigants are struggling with today.

This case involves a breach of contract claim where plaintiff Lubrizol corporation, a major chemical manufacturer, purchased an SAP ERP system, and then hired IBM to implement the enterprise software. The project eventually went off the rails and now the parties are in litigation fighting over eDiscovery.

As you might imagine on an IT project like this, there’s a lot of evidence in Teams and also in Slack. Plaintiff Lubrizol wanted IBM to produce the entire channel of their messages if there was even a single relevant message within the channel. However, in its written opinion, the court determined that the production of an entire Slack or Teams channel, with only a few relevant messages within, would be overbroad per the rules of proportionality. IBM conversely took a counter position that was equally extreme, claiming that they only needed to produce the actual message that the keyword hit on without any context of the broader conversation around it. The court rejected this approach.

Eventually the plaintiff came back to the court with a proposed compromise, which the court agreed with and adopted as its final order as follows:

“IBM to produce: (1) the entirety of any Slack conversation containing 20 or fewer total messages that has at least one responsive message; and (2) the 10 messages preceding or following any responsive Slack message in a Slack channel containing more than 20 total messages. Within 28 days, Lubrizol shall do the same with respect to its Microsoft Teams messages.”

While this ruling is very instructive, many parties struggle with executing such a targeted collection and production effort. The problem with Teams discovery, as outlined in a previous post, is that most eDiscovery tools require parties to collect and export entire Teams channels, with the production format being very problematic due to no efficient ability to provide automated and targeted productions as the court outlines above.

The exception is X1. X1 Enterprise Collect provides, in our opinion, the industry’s best eDiscovery support for MS 365. And many independent eDiscovery, experts, agree. X1’s support for MS Teams is one example. Among the reasons why our MS Teams support stands out, is the ability to produce a specific number of preceding and subsequent messages for automated input into a review platform, all in context. See the screenshot below.

Winston & Strawn eDiscovery partner Bobby Malhotra notes the importance of this capability: “With the vast number of users and unyielding amount of data in collaboration applications such as Teams, having the ability to target and triage data by specific custodians and threads allows organizations to handle discovery in an efficient and pragmatic manner. X1 provides the unique ability to seamlessly collect and search across numerous web, collaboration, and social, data sources.”

X1 recently hosted a webinar demonstrating how to collect from MS Teams in an effective, defensible and proportional manner. You can watch it here on demand.

The X1 Enterprise Collect Platform is available now from X1 and its global channel network in the cloud, on-premise, and with our services available on-demand. For a demonstration of the X1 Enterprise Collect Platform, contact us at sales@x1.com. For more details on this innovative solution, please visit www.x1.com/x1-enterprise-collect-platform.

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Filed under Best Practices, Case Law, Cloud Data, ECA, eDiscovery, eDiscovery & Compliance, Enterprise eDiscovery, law firm, MS Teams, Preservation & Collection