Category Archives: Best Practices

Granting Microsoft 365 Super-Admin Privileges to eDiscovery Service Providers is Very Risky and Unnecessary

By John Patzakis and Chas Meier

In a world where data breaches are not just possible but expected, securing sensitive information becomes paramount. However, in many cases, organizations are unnecessarily handing over the security keys to the kingdom to eDiscovery Service Providers by providing them with very heightened security privileges to their Microsoft 365 tenants. This is because the more manual methods relied on by service providers often involve gaining high-level permissions usually only reserved for senior trusted IT directors and executives within the client organization. Such broad access can lead to unauthorized data access, including creating new accounts for others outside the organization, data overcollection, and unintended data modifications and even deletions. These unnecessary accommodations can cause severe irreversible damage, security breaches and overall complication with compliance efforts.

Clients are often told such high-level security access is absolutely necessary. In truth, service providers only resort to such measures when they fail to utilize best practices technology. In many cases, service providers, once they gain elevated administrative permissions, simply run basic scripts that they position as proprietary, which have little functionality other than the bulk download of M365 data. These scripts only work if very high-level access is granted to the user of the scripts. Once the service provider completes their mass data download from M365, they are off to the races with their traditional highly lucrative eDiscovery workflows of excessive data volumes due to overcollection, extensive processing and project management, and final eventual staging into review, all leading to excessive costs and unnecessarily extended timelines.

In contrast, our customers believe X1’s strategy for M365 Data Access is unique and disruptive to legacy approaches still utilized by many service providers. We designed our approach to maximize security, enhance operational efficiency, and ensure economic advantages for our clients, setting new benchmarks that challenge conventional industry practices.

  1. Uncompromised Security with Read-Only Access
    X1’s approach to accessing client information in a read-only least privileged manner exemplifies our commitment to security. In our approach a client grants read-only permissions to the X1 Enterprise solution licensed and controlled by the client, through an application that also remains under the control of our client and has a built-in expiration. No X1 employee ever needs to have access to or personally utilize the client’s M365 credentials. There is no ability for X1 to create new accounts or even delegate M365 permissions. This approach eliminates the risks associated with more invasive access levels that other eDiscovery providers often require.

    X1’s methodology ensures that the data remains pristine and untouched throughout the eDiscovery process. This approach not only supports stringent compliance with legal and regulatory standards but also shields organizations from the pitfalls of unauthorized data manipulation. It significantly reduces the potential for costly security incidents, reinforcing the trust our clients place in us to handle their most sensitive information.

  2. Index-in-Place: Elevating Data Integrity and Efficiency
    Our “index-in-place” technology stands in stark contrast to the traditional data extraction methods employed by many service providers. These providers often relocate substantial data volumes from clients’ M365 tenants to their environments—a practice driven by the desire to increase hosting volumes and, consequently, revenue. This not only introduces significant security risks but also strains client resources and infrastructure.

    By indexing data directly within its native environment, X1 maintains the integrity and security of the data. This approach significantly reduces the exposure of data to external threats during transfer and storage. It also enhances the speed and accuracy of search and collection processes, enabling quicker responses to legal inquiries and reducing the overall time and cost of eDiscovery.

    Moreover, this method highlights our principle of avoiding the “fox guarding the henhouse” scenario, where providers have incentives that might conflict with client interests. Our clients appreciate the transparency and integrity of keeping their data within their controlled environment, free from unnecessary external manipulation or exposure.

  3. Transparent Pricing Promoting Efficiency and Reuse
    X1’s innovative pricing model stands out by encouraging the efficient reuse of tools without penalizing clients for data volume. This approach directly contrasts with the common industry practice where costs escalate with the volume of data hosted or processed. Our pricing structure is designed to align closely with our clients’ needs for predictable and reasonable costs.

    By not charging based on data volume, we foster a more sustainable and rational use of resources, allowing our clients to plan and budget more effectively. This pricing strategy supports not just cost savings but also promotes a more strategic use of eDiscovery tools, encouraging practices that are both economically and environmentally more sustainable.

Conclusion
X1 is dedicated to setting a higher standard for secure, efficient, and cost-effective data management solutions in Microsoft 365 environments. Our innovative approaches to read-only access, index-in-place technology, and volume-independent pricing ensure that our clients receive unparalleled service that prioritizes their security, operational efficiency, and financial well-being.

We invite you to join us in this transformative journey and experience the peace of mind that comes from knowing your data remains in place until you target a collection to migrate into review. For a demonstration of the X1 Enterprise Platform, contact us at sales@x1.com. For more details on this innovative solution, please visit www.x1.com/x1-enterprise-platform.

Leave a comment

Filed under Best Practices, Cloud Data, compliance, Cybersecurity, eDiscovery, eDiscovery & Compliance, Enterprise eDiscovery, ESI, Information Access, Information Management, m365

X1 Achieves Unmatched Throughput and Results in Several Recent M365 eDiscovery and Information Governance Engagements

By John Patzakis and Chas Meier

As discussed previously on this blog, X1 and our active enterprise customers believe X1 Enterprise Collect is the best solution available to address M365 data sources as well as on-premises sources such as laptops and file shares. In recent weeks, our customers and partners have executed several projects on a massive scale and have captured and documented X1’s performance metrics.

No other solution in the industry can index data across the enterprise as fast or as scalable as the X1 Enterprise platform, including Microsoft Purview Premium. When compared to Microsoft Purview, with its built-in architectural constraints and throttling limitations, X1 can index nearly eight times the daily volume of Purview or any other competitive “connector” technology can achieve in the market. X1’s distributed index-in-place methodology, combined with horizontal scaling of our index hosts, make X1 the only solution truly capable of handling the rapid indexing, identification, searching and collecting/remediation of mass data sets in the TB’s or PB’s across the modern enterprise. X1 effectively addresses cloud and on-premises data sources in a unified manner, including distributed endpoints, network file shares, M365 data sources including Mail, OneDrive, Teams, and SharePoint, as well as other cloud data sources.

In several recent large-scale eDiscovery and information governance projects, X1 Enterprise Collect, on average, was able to collect and index M365 data (MS Mail [including archived mail and modern attachments] Teams, One Drive and SharePoint) at a rate of approximately 350 GB per day. This is nearly 8 times faster than Microsoft Purview, with its documented throughput limitations at 2GB per hour. X1 can achieve even faster throughput by scaling out virtual cloud computing resources.

Daily indexing volumes for endpoints and on-premises file shares vary due to the performance characteristics of each machine, but X1 indexes and searches endpoints in parallel yielding extremely high aggregate daily indexing and collection throughput.

Detailed documentation on these metrics and a further briefing on these engagements can be provided upon request.

X1 achieves such scalability through a decentralized approach that does not rely on the M365 or Purview search Index, which has known issues with the number of file types supported, consistency of search results, accuracy, and throughput. X1’s approach enables a very scalable, accurate, defensible, and robust indexing and data collection at unmatched speeds.

In addition to greatly reducing risk, X1’s capabilities also enable massive cost savings. X1 Enterprise Collect significantly streamlines the eDiscovery workflow by bringing targeted collection results directly into the review platform, thereby eliminating over collection, over processing, and over importing just to cull. X1 will populate ESI (Electronically Stored Information) straight into Relativity from an X1 collection without multiple hand offs, extensive project management and inefficient data processing.

The ability to collect data directly and transparently from custodian laptops, desktops, M365 and other cloud sources into a RelativityOne/Relativity workspace is a game-changer that enables legal and compliance teams to begin review in hours rather than weeks. As facts become known and collection focus changes, X1 allows teams to pivot and respond in hours. With the ability to efficiently take multiple bites of the apple, X1 enables teams to start fast and stay agile.

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.

Leave a comment

Filed under Best Practices, Cloud Data, Corporations, ECA, eDiscovery, eDiscovery & Compliance, Enterprise eDiscovery, ESI, Information Governance, MS Teams, OneDrive, Preservation & Collection, SharePoint

Microsoft 365 eDiscovery Throttling is Structural and Won’t Be Going Away

By Chas Meier

Users of Microsoft 365 for eDiscovery and Information Governance continue to encounter significant problems with low throughput and defensibility. Many customers report to us that Purview eDiscovery Premium’s documented limitations, including a 2GB per hour indexing limit, prevent them from using the platform to handle anything other than small matters. A routine eDiscovery matter involving one hundred custodians each with about 10GB of M365 data typically requires several weeks to complete with MS Purview Premium. This is a non-starter for legal teams who are up against pressing litigation timelines.

It is important to understand that because M365 is built on a large-scale multi-tenancy SaaS architecture, such challenges are a feature, not a bug of the system. Multi-tenancy is an architecture where shared computing resources are apportioned across large numbers of users. This architecture enables Microsoft to provide the service at a lower cost since computing services are shared.

However, multi-tenant architecture enables scale (in terms of multitudes of users) and efficiency through uniformity. These architectures are not designed for outlier workloads like eDiscovery that routinely require intensive surges in computing resources to collect, process and search terabytes of data. In fact, multi-tenancy cloud architects would identify eDiscovery workloads as a “noisy neighbor” that threatens the overall performance and user experience of the system, and thus must be managed through quality-of-service mechanisms like throttling and time-outs.

I think of multi-tenant architectures like the business model utilized by a gym. The gym has more and better equipment than I have at home, which is attractive so many will join through a membership. The gym has a fixed amount of square footage and equipment which is more than any individual needs and is sufficient to support those that show up, occasionally having to coordinate access to the equipment but manageable. However, what if a small group showed up at the gym every day for most of the day and hogged the equipment? What if more people showed up, became frustrated, and dissatisfied? Gym management would be forced to act to ensure fair access to the equipment.

Throughout my career as an eDiscovery service provider, we made large investments in infrastructure and capacity to the point of overkill to equip ourselves to service a client’s need to address high volumes of data in short timelines without impacting their business-as-usual activities. We were like the fire department for big unstructured data needs.

A huge differentiator in X1’s approach is to divide and conquer large scale projects by leveraging the cumulative power of a decentralized computing orchestrated through a unified management, search, and collection console. Think of this like deploying a fire suppression system proactively before the fire.

Last year, X1 introduced M365 data connectors into our X1 Enterprise platform to satisfy a critical need for enterprises to conduct cost-efficient yet highly scalable eDiscovery search and collection of M365 data. The response has been tremendous, with X1 seeing record demand in large part, due to the architectural limitations and deficiencies noted above.

X1 Enterprise Collect provides users the unique ability to index and search M365 data in-place and then collect in a targeted and iterative manner. This at speeds and throughput far exceeding other tools, including Microsoft Purview Premium. X1 achieves such scalability through a decentralized custodian-based approach that does not rely on the M365 or Purview search Index, which has known issues with the number of file types supported, consistency of search results, and throughput. X1’s approach enables a very scalable, defensible, and robust data collection at speeds far exceeding that of M365 Purview and other approaches.

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/solutions/x1-enterprise-platform.

Leave a comment

Filed under Best Practices, Cloud Data, Corporations, eDiscovery, eDiscovery & Compliance, Enterprise eDiscovery, ESI, Information Governance, Preservation & Collection

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.

Leave a comment

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