Tag Archives: artificial-intelligence

November 13, 2025 · 11:13 AM

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

Tagged as , , , , , , , , , , ,

September 30, 2025 · 9:45 AM

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

Tagged as , , , , , , , , ,

June 25, 2025 · 12:00 PM

Modernizing eDiscovery: A Huge Strategic Win for Legal Operations Executives

By John Patzakis

Modern In-Place Data Discovery

For today’s corporate legal departments, controlling runaway costs is no longer optional — it’s a mandate. Nowhere is this more evident than in the spiraling expenses for outsourced eDiscovery and information governance services. While litigation and regulatory demands continue to grow, many organizations still rely heavily on costly outside service providers to identify, collect, process, and produce electronically stored information (ESI). This outdated model drains budgets, strains timelines, and introduces unnecessary risk.

Enter the modern legal operations executive. One of their core responsibilities is to identify inefficiencies and leverage technology to reduce costs and streamline workflows. Modernizing eDiscovery and information governance processes is a very fertile and high-impact opportunity to do exactly that. Doing so can save organizations tens of millions of dollars in hard (actual) costs. Here’s how:

1) Bring eDiscovery In-House and Slash Costs with the Right Technology

Outsourced eDiscovery vendors typically charge steep hourly rates and volume-based markups for even routine tasks like identifying and collecting custodial data. Yet studies — and real-world case studies — consistently show that corporations can reduce eDiscovery costs by up to 90% by adopting targeted collection and in-place search technology.

Solutions like X1 Enterprise enable legal and compliance teams to index and search data in place — without cumbersome, time-consuming manual collection. By deploying this technology internally, the legal operations team can replace costly third-party workflows, including highly inefficient Microsoft 365 processes, with faster, defensible, and far less expensive processes. This means greater control over timelines and budgets, and reduced exposure to data security risks associated with handing over large volumes of sensitive information to multiple vendors.

2) Drive Broader Efficiencies Beyond Litigation

The benefits of a modern eDiscovery platform extend far beyond document production in a lawsuit. The same technology can be leveraged for critical information governance and data compliance functions. For example, when a company needs to respond to internal audits, regulatory data access requests, or data privacy audits and inquiries, in-place search capabilities allow teams to quickly find and manage relevant data without reinventing the wheel each time.

Legal operations executives can champion the use of enterprise eDiscovery tools for these broader use cases, creating synergies between compliance, privacy, IT, and legal teams. This not only reduces redundant spending on separate point solutions but also ensures better control of data and improved risk management across the organization.

3) Partner with Finance to Uncover Hidden Cost Savings

A key role of legal operations is to align legal spend with broader corporate financial goals. When evaluating an in-house eDiscovery solution, legal ops leaders should engage their CFO early. One common pitfall is focusing solely on capital IT budgets while overlooking how much is siphoned away from the legal operating budget to fund expensive outsourced eDiscovery services.

In one real-world example, a company assumed they could not afford an internal solution based on their limited IT budget. However, when they worked with their CFO to analyze total eDiscovery spending, they discovered they were paying tens of millions annually from a separate operating budget to outside providers. Redirecting even a fraction of this spend towards a robust internal platform not only paid for the technology but will yield millions in net savings — year after year.

Final Thoughts

For legal operations executives looking to deliver immediate cost savings, increase efficiency, and elevate the department’s strategic value, modernizing eDiscovery and information governance processes is perhaps their greatest opportunity for an immediate and significant impact. By bringing the process in-house with proven technology like X1 Enterprise, expanding its use to multiple compliance and governance scenarios, and partnering with finance to eliminate wasteful spending, legal operations can transform eDiscovery and information governance from a financial drain into a model of operational excellence.

Interested in learning more about how to achieve this transformation? Schedule a briefing today at sales@x1.com or visit www.x1.com/solutions/x1-enterprise-platform.

Leave a comment

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

Tagged as , , , , , , , , ,