Tag Archives: x1 enterprise

X1 Brings “AI In-Place” to the Enterprise—A Major Breakthrough for Secure, Scalable AI Deployment

By John Patzakis

Our latest announcement represents a true inflection point in enterprise AI. With X1 Enterprise’s newly introduced capability for AI in-place, organizations and their service providers will, for the first time, be able to deploy and execute large language models (LLMs) directly where enterprise data lives—without moving or copying that data.

This is more than a product enhancement; it is a fundamental shift in how AI is applied across the enterprise.

The Foundation: Efficient Text Extraction Is Critical for AI
Large language models (LLMs) are the core engines that power today’s AI revolution. These models rely entirely on textual input to perform reasoning, summarization, search, and analysis. That is why text extraction is the critical first step. LLMs can only operate once another process extracts the text from emails, documents and chats. Traditionally, that meant copying or exporting data to external systems hosted by third party vendors, a process fraught with risk, cost, and compliance challenges.

Solving the “Data Movement Problem” for Enterprise AI
So, the key barrier to enterprise AI adoption has been the reluctance to move sensitive corporate data to external AI platforms. Whether for security, governance or cost reasons, most enterprises simply cannot send their data outside their environment.

X1’s innovation solves that problem head-on. Instead of shipping sensitive data out to an AI system, X1 brings the AI to the data. Enterprises can now deploy their own proprietary models or open-source LLMs within the secure perimeter of their existing infrastructure, whether on premises or in the cloud. X1’s index-in-place architecture performs the text extraction and indexing where the data resides. By extending that same principle to AI—forward-deploying LLMs directly to enterprise data sources—X1 now enables AI in-place. The result: organizations can apply the analytical power of LLMs across their data without ever moving it.

Once the LLMs are deployed into the X1 micro-indexes, X1 will then auto-apply AI-informed tags, which a user can query globally from a central console and act upon through targeted data collection or remediation. Imagine petabytes of data on file servers, laptops M365 and other sources all AI-classified and then queried and collected on a highly targeted basis.

This means enterprises can now unlock powerful new use cases no matter the scale—AI-assisted compliance, risk monitoring, GRC audits, eDiscovery, and more—while maintaining full control of their data and eliminating the need for costly, risky data transfers.

Enabling Collaboration Between Enterprises and Their Advisors
William Belt, Managing Director and Consulting Practice Leader at Complete Discovery Source, described the impact succinctly:

“Enabling AI in-place where our corporate client’s data lives is game-changing. We look forward to working with our clients to deploy AI models that are either pre-trained or customized for a specific matter or compliance requirement utilizing the X1 Enterprise platform.”

This capability creates a new bridge between corporations and their professional advisors—consulting firms, law firms, and service providers—who can now collaborate directly with their clients to develop, fine-tune, and deploy customized AI models for specific business or legal needs.

Rather than relying on generic cloud-based AI tools, organizations can now build targeted, matter-specific LLMs that are tuned to their unique data and compliance requirements, all executed securely in-place through the X1 Enterprise Platform.

A New Era for Enterprise AI
With this release, X1 is redefining the architecture of enterprise AI. Its ability to perform distributed micro-indexing and in-place AI analysis across global data sources enables secure, scalable, and cost-effective intelligence—without ever duplicating or relocating sensitive data.

For enterprises and their partners, this represents a new era of possibility: true AI at enterprise scale, in-place.

X1 will host a webinar on Wednesday, December 10, featuring a detailed overview of this new capability and a live demonstration. You can register here.

Leave a comment

Filed under Cloud Data, Corporations, Cybersecurity, eDiscovery, eDiscovery & Compliance, Enterprise AI, Enterprise eDiscovery, Information Governance, m365

The Business Case for In-House eDiscovery: Lessons from Two Prominent Corporate eDiscovery Counsel

By John Patzakis

Building a Business and Legal Case for In-House eDiscovery

In a recent webinar hosted by Ad Idem, a non-profit legal education provider for in-house counsel, attorneys Kelly Twigger and Eric Stansell offered a compelling roadmap for corporate legal departments looking to bring eDiscovery and information governance (InfoGov) in-house. Their insights cut through the complexity of traditional discovery models and emphasized the strategic, operational, and legal advantages of internalizing these processes. For legal professionals navigating mounting data volumes and rising litigation costs, their discussion provided both practical guidance and a call to rethink legacy workflows.

Eric Stansell, Senior Counsel for Discovery at Tyson Foods, opened with a candid reflection on how his role was created to address the company’s need for a more efficient eDiscovery program. He emphasized that building a business case for in-house capabilities starts with understanding the “why”—whether it’s cost savings, risk reduction, or process defensibility. Stansell emphasized that standardizing internal processes not only improves consistency but also enhances defensibility and reduces exposure by limiting data sprawl across external vendors.

Kelly Twigger — who is one of if not the top eDiscovery lawyer in the field in my opinion — built on Stansell’s narrative by stressing the importance of conducting a thorough assessment before launching any in-house initiative. She encouraged legal teams to break down business cases into manageable chunks, identifying quick wins such as revising email retention policies. Twigger noted that internal culture shifts and stakeholder alignment are just as critical as technology adoption. Her approach favors incremental change backed by measurable ROI, rather than sweeping transformations that risk overwhelming legal and IT teams.

Both speakers underscored the importance of engaging multiple stakeholders. Stansell shared Tyson’s experience with cross-functional collaboration, highlighting how legal, IT, audit, and compliance teams must be involved from the outset. As one example of such collaboration, Stansell noted that eDiscovery enterprise search and collection software procured by the legal team can also address key IT security priorities such as PII data audits and internal investigations.

Twigger also delivered a deep dive into the proportionality principles now codified under the Federal Rules of Civil Procedure, urging legal teams to build factual arguments early in the discovery process. She explained that proportionality isn’t just about cost—it’s about narrowing scope through targeted custodians, refined date ranges, and iterative search terms. Stansell added that understanding custodians’ roles and historical relevance can help avoid unnecessary data collection, further supporting proportionality claims in court.

One of the most pressing issues Twigger addressed was the evolving case law around hyperlinked files. She traced the trajectory from Nichols v. Noom, Inc.—where hyperlinks were deemed not attachments—to more recent rulings that treat them as discoverable content depending on technological capabilities. Twigger cited In re Uber and Young v. Salesforce to illustrate how courts are increasingly expecting parties to preserve and produce hyperlinked documents, especially when shared via chat platforms or collaborative tools.

Twigger warned that failing to understand your organization’s tech stack could lead to costly missteps. She recommended that in-house counsel proactively assess their systems—especially Microsoft 365 environments—to determine what’s feasible when it comes to hyperlink preservation and production. She also highlighted X1 Discovery’s capabilities, noting that X1’s software can automate the collection of contemporaneous versions of hyperlinked documents in M365, support targeted Teams chat collection as well as many other data sources, making X1 a valuable solution for defensible in-house eDiscovery.

In closing, both Twigger and Stansell made it clear that bringing eDiscovery and InfoGov in-house isn’t just a cost-cutting measure—it’s a strategic imperative. With the right mix of technology, process, and cross-functional collaboration, legal departments can gain control, reduce risk, and improve outcomes. Their insights serve as a blueprint for legal teams ready to evolve beyond reactive discovery and toward a proactive, integrated approach.

The recording of the webinar can be accessed here.

Leave a comment

Filed under Best Practices, Case Law, Cloud Data, Corporations, ECA, eDiscovery & Compliance, Enterprise eDiscovery, ESI, Information Governance, m365, MS Teams, Preservation & Collection

X1 Expands Its Leadership in Microsoft Teams eDiscovery Collection

X1 Enterprise MS Teams Collection

By John Patzakis and Chas Meier

The rapid growth of Microsoft 365 has fundamentally changed the eDiscovery landscape. Among its most prominent data sources, Microsoft Teams now generates vast volumes of business-critical communications that must be identified, collected, and reviewed in litigation, regulatory, and compliance matters.

Yet most eDiscovery tools still rely on outdated methods: bulk copying massive amounts of sensitive data and transferring it to proprietary processing or review platforms. This approach is slow, costly, and disruptive. Bulk transfers frequently trigger Microsoft’s throttling controls, adding significant delays. More importantly, organizations that have invested heavily in Microsoft 365 do not want their data routinely exported out of its secure, native environment every time an eDiscovery matter or compliance investigation arises.

Recognizing these challenges, X1 has built upon its industry-leading Microsoft 365 collection capabilities to deliver unmatched support for Microsoft Teams—alongside OneDrive, Exchange, and SharePoint.

Key Benefits of X1’s Teams Collection Capabilities
Precision targeting of Channels at scale – Quickly search all available channels, select, and target specific Teams channels, even in organizations with tens of thousands of them. This feature is not even available in Microsoft Purview!
Granular control – Target individual custodians and message threads, avoiding unnecessary mass downloads.
Contextual collections – Automatically include a designated number of preceding and subsequent messages, preserving conversational context.
Seamless review integration – One-click upload of fully formatted in-context results directly into review platforms—no manual processing required.
Unified approach – Search and collect across Teams, OneDrive, SharePoint, Exchange, laptops, and file shares from a single interface.
In-place indexing – Leverage X1’s patented technology to index, search, and process data where it resides, eliminating reliance on expensive third-party processing.
True automation – A software-based solution that reduces dependency on manual, service-heavy workflows.

No other independent software provider matches the speed, precision, and scalability of X1’s Microsoft Teams eDiscovery collection. Our customers consistently report significant gains in efficiency, cost savings, and defensibility compared to legacy approaches.

As Teams usage continues to surge, legal and compliance professionals need solutions that deliver targeted, defensible collections without the inefficiencies of bulk exports. X1’s enhanced Teams support ensures organizations can meet these demands with speed, accuracy, and minimal disruption.

Seeing is believing—watch our short demo video to experience X1’s Teams capabilities in action.

Leave a comment

Filed under Best Practices, Cloud Data, Corporations, ECA, eDiscovery, eDiscovery & Compliance, Enterprise eDiscovery, Enterprise Search, ESI, Hybrid Search, Information Governance, m365, MS Teams, OneDrive

Courts Favor Targeted eDiscovery Collections, but It Is Up to In-House Teams to Enable Such Cost Saving Proportional Efforts

By John Patzakis

In-House Legal Teams Enable Cost Savings

Corporate legal departments face ever-increasing costs and risk related to eDiscovery, driven largely by excessive and indiscriminate data collection. Many organizations default to an overbroad “collect everything” approach out of an abundance of caution or due to inefficient workflows imposed by third-party service providers or even outside counsel. Over collection results in far higher costs upstream, critical delays and increased risk. However, for this reason courts consistently endorse proportional and targeted discovery practices that balance the needs of litigation with cost-effectiveness and reasonableness. But in order to best realize the benefits of proportionality, organizations should establish an in-house eDiscovery capability supported by best-practices technology.

Courts Support Proportional and Targeted ESI Collection
The Federal Rules of Civil Procedure (FRCP) emphasize proportionality and reasonableness in discovery. Specifically, Rule 26(b)(1) limits discovery to information that is relevant to any party’s claim or defense and proportional to the needs of the case.

Courts have routinely upheld this principle, encouraging parties to avoid overbroad collections:

  1. The Sedona Conference Principles
    While not binding, courts frequently rely on The Sedona Principles, which advocate for “reasonable and good faith efforts” to identify relevant ESI. (See The Sedona Principles, Third Edition, 19 Sedona Conf. J. 1 (2018)). Courts cite these principles to support reasonable limits on preservation and collection.
  2. In re Bard IVC Filters Prods. Liab. Litig., 317 F.R.D. 562 (D. Ariz. 2016)
    Here, the court recognized the proportionality limits of Rule 26(b)(1) and ruled that the defendant’s proposed targeted discovery approach—using custodians, date ranges, and agreed-upon search terms—satisfied its obligations.
  3. Oxbow Carbon & Minerals LLC v. Union Pacific Railroad Co., 322 F.R.D. 1 (D.D.C. 2017)
    The court rejected broad discovery requests that lacked proportionality, holding that the producing party could limit its search for ESI to agreed-upon custodians and relevant date ranges. The court emphasized that broad, burdensome demands are contrary to Rule 26(b)(1).
  4. Hernandez v. City of Houston, No. 4:16-CV-3577, 2020 WL 2542625 (S.D. Tex. May 19, 2020)
    Here, the court denied a motion to compel additional production of ESI beyond agreed search terms, explaining that the requested expansion was disproportionate given the marginal relevance and substantial burden of additional collection.

These and other decisions (further analysis available here) demonstrate that targeted, proportional collection efforts are not only defensible but expected by the courts. Overcollection is hardly mandated by the court and, in fact, can increase risk by preserving irrelevant or privileged information unnecessarily.

So, the problem is not the law. The challenge is that many eDiscovery service providers favor full disk imaging or other forms of massive data over-collection for two reasons: 1) As they are not integrated into a company’s IT data architecture with an established and repeatable process, they revert to a reactive, once-off effort to collect everything that could possibly be relevant; and 2) They are financially incentivized to collect as much data as possible.

Advantages of In-House eDiscovery Capabilities for Targeted Collections
To align with the principles of proportionality, legal departments should move away from the outsourced collection model that favors bulk extraction. Instead, maintaining an in-house eDiscovery capability provides the following key advantages:

  1. Integrated, Precise Search and Collection
    Solutions like X1 Enterprise are designed to index data in place, allowing corporate legal and IT teams to search, cull, and collect only what is relevant—without moving massive volumes of unnecessary data. This reduces costs and minimizes data exposure.
  2. Iterative, Defensible Process
    With in-house capabilities, legal teams can collaborate directly with IT to conduct collections iteratively. They can refine search criteria and custodians in real-time, in response to case developments or meet-and-confer negotiations, ensuring defensibility and responsiveness.
  3. Faster Response Times and Lower Costs
    Deeply integrated technology removes reliance on expensive, reactive third-party vendors who often require full data exports up front. By indexing data where it resides, in-house teams can respond quickly to litigation holds and discovery deadlines.
  4. Enhanced Compliance and Risk Management
    By avoiding massive data dumps, corporations reduce the risk of producing irrelevant, privileged, or sensitive data unnecessarily. Proportionality helps mitigate privacy risks and comply with data minimization principles under privacy laws like the GDPR and CCPA.
  5. Control and Repeatability Across Multiple Use Cases
    In-house solutions preserve institutional knowledge and workflows. Future cases can reuse workflows and search parameters, creating repeatable, consistent, and auditable processes. Further, the same process can be readily leveraged for various information governance and other compliance use cases.

Conclusion
Courts expect discovery to be proportional, targeted, and reasonable—not excessive or indiscriminate. Establishing an in-house eDiscovery capability with proven integrated technology like X1 Enterprise allows your organization to operationalize this legal standard. By doing so, you will reduce costs, minimize risks, and demonstrate good faith compliance with discovery obligations.

Leave a comment

Filed under Best Practices, CaCPA, Cloud Data, Corporations, ECA, eDiscovery, eDiscovery & Compliance, Enterprise eDiscovery, ESI, GDPR, m365, Preservation & Collection, proportionality

X1 Enterprise Is the Gold Standard for Data Separation in M&A Matters

By John Patzakis and Charles Meier

X1 is the Gold Standard in Data Separation

Corporate mergers and acquisitions are complex enough on their own — but when a deal involves the divestiture of an entire business unit or a carve-out of specific departments, the stakes for separating data correctly and efficiently become even higher. Legal and IT teams must identify and surgically separate emails, documents, and other unstructured electronic information to ensure that the right data goes to the acquiring party — and that what must be retained remains secure and compliant with privacy and legal requirements.

This data separation exercise is notorious for being time-consuming, extremely expensive, and highly disruptive. This is because traditional methods require heavy lifting by IT teams and service providers, endless back-and-forth with custodians, and mass data collections that literally double the risk. Worse yet, Microsoft Purview, with its known throttling and low throughput challenges for M 365 data, is not up to the task for data separation matters that invariably involve at least dozens of terabytes. These inefficiencies all lead to severe regulatory risks, runaway costs, and critical delays.

There is, however, a far better way — X1 Enterprise. Several major corporations have recently employed X1 Enterprise in high-stakes data separation matters. Once completed, the comments from our customers are the same: There was no other way they could have done it without spending millions of dollars on time-consuming and disruptive services.

Data Separation Is Not Just Another eDiscovery Project

Unlike standard eDiscovery, a divestiture-driven data separation project must carve out large volumes of live, operational data while the business continues to run. Legacy tools and processes require copying and moving the entire subject data set to a separate repository for indexing and searching — adding huge costs, time delays, and operational risk.

X1 Enterprise’s game-changing advantage lies in its distributed micro-indexing architecture and true index-in-place capability. This unique approach allows organizations to instantly search, categorize, and separate or otherwise remediate massive volumes of data where it resides — without duplicating and exporting entire data sets to third-party servers for processing.

In practical terms, this means:

Lightning-Fast Search: X1 Enterprise creates lightweight, local micro-indexes on endpoints and servers across the organization. Search results come back in seconds, no matter where the data lives — on laptops, file shares, or cloud repositories such as M365.

Minimal Disruption: Because the data stays in place, there is no need to duplicate or move sensitive content, minimizing the risk of data leakage, avoiding the bottlenecks that come with data copying and migration for centralized processing, and enabling the actual remediation to be infinitely more effective by working on the live data set. How do you execute data separation when you are working off a stale copy of the data for the categorization effort? The short answer: Up to millions of dollars in manual services to go back to the “original data” and manually separate the data for each employee and their respective data sources.

Scalability and Control: Whether the divestiture involves hundreds or thousands of custodians across geographies, X1 Enterprise scales seamlessly while giving legal and IT teams centralized control and real-time oversight.

Defensible Process: Legal teams can generate audit trails, reports, and logs to demonstrate a precise and defensible chain of custody, which is critical for regulatory and contractual compliance.

The Bottom Line: Much Faster, with Dramatically less Cost and Risk.

When time is money — and delays can put entire deals at risk — organizations cannot afford cumbersome, legacy eDiscovery workflows for carve-out data separation projects. X1 Enterprise’s innovative architecture empowers legal, compliance, and IT teams to execute precise data separations faster, with dramatically lower cost and business impact.

For any organization facing a merger, acquisition, or divestiture, X1 Enterprise is not just an upgrade — it is the modern standard for high-stakes data separation and governance.

Learn more about how X1 Enterprise can streamline your next M&A project. Schedule a demo today at sales@x1.com or visit  www.x1.com/solutions/x1-enterprise-platform.

Leave a comment

Filed under Best Practices, Case Study, Cloud Data, compliance, Corporations, Data Audit, ECA, eDiscovery & Compliance, Enterprise eDiscovery, ESI, GDPR, Information Access, Information Governance, Information Management, m365, Preservation & Collection, Records Management