X1® Launches Groundbreaking AI In-Place Technology, Ushering in a New Era of Secure, Scalable Enterprise AI
X1®, the global leader in index-in-place data discovery software for legal, compliance, governance, and investigation use cases, today announced a revolutionary new capability within its X1 Enterprise Platform—the ability to forward-deploy AI models directly to enterprise data sources for true AI in-place analysis, without moving or copying sensitive corporate data. This innovation represents a transformative milestone for enterprise AI, redefining how artificial intelligence interacts with data across the world’s largest organizations.
Revolutionizing Enterprise AI Workflows
For years, enterprise AI has been constrained by a fundamental bottleneck: data mobility. Traditional AI workflows rely on moving vast amounts of information—often including sensitive, unstructured, or regulated data—into centralized AI environments or third-party platforms. While this approach works for structured datasets, it has proven impractical for the vast majority of enterprise information, which exists in unstructured forms such as emails, documents, chats, and collaboration data.
As a result, most organizations have struggled to apply AI effectively to the bulk of their informational assets. Data security concerns, compliance restrictions, cost inefficiencies, and latency associated with large-scale data transfers have made it nearly impossible to apply AI meaningfully at enterprise scale.
X1’s latest breakthrough changes this paradigm entirely.
With AI In-Place, organizations can now deploy open-source or proprietary large language models (LLMs) directly to X1’s distributed micro-indexes, allowing real-time AI analysis at the source—where the data lives. This means enterprises can harness the power of AI for compliance, governance, eDiscovery, and analytics without moving a single file.
A Paradigm Shift: Bringing AI to the Data
Traditional AI systems have long required data to come to the model. X1 reverses that dependency. By embedding intelligence within its distributed micro-indexing framework, X1 enables enterprises to bring the model to the data, achieving immediate scalability and eliminating costly and risky data movement.
Enabling AI in-place where our corporate clients’ data lives is game-changing,” said William Belt, Managing Director and Consulting Practice Leader at Complete Discovery Source. “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 approach not only preserves data sovereignty and security, but also enables faster insights, lower infrastructure costs, and dramatically reduced risk of data exposure.
Industry Voices: Transforming Legal and Compliance Efficiency
The legal, compliance, and governance industries—where X1 has been a trusted technology leader for years—are expected to benefit immediately from this innovation.
X1’s new implementation is AI that serves the client, not data monetization,” said Kelly Twigger, CEO of Minerva26. By attacking the cost driver—data movement—it can lower discovery spend, tighten compliance, and help companies leverage their information for internal value and tell their story more effectively in court. It’s exactly the kind of vision that helps clients address their challenges while meeting their legal obligations.
This perspective underscores a crucial point: AI In-Place is not an add-on or enhancement—it’s a foundational shift. Rather than relying on external AI tools that require sensitive information to be transferred or copied into third-party systems, organizations can now analyze and classify data where it resides, safely and efficiently.
The Power of Distributed Micro-Indexing
At the core of this innovation lies X1’s proprietary distributed micro-indexing technology, which enables real-time search, filtering, and analytics across massive unstructured data sources. This architecture already allows X1’s customers—including law firms, global enterprises, and government agencies—to index data directly in-place without replication.
The integration of AI model deployment within this framework takes that capability to the next level. Once an AI model is deployed into the X1 micro-indexes, it can perform a variety of analytical and classification tasks autonomously—tagging documents, identifying risk, classifying information, and surfacing insights—all without relocating or duplicating the underlying data.
These AI-informed tags and insights are centrally queryable, giving compliance officers, investigators, and data stewards a single pane of glass to view and act on enterprise-wide information.
Enterprise-Wide AI: Scalable, Secure, and Practical
With AI In-Place, organizations can now apply AI-driven analytics securely across both on-premises and cloud data environments, achieving scalability that was previously impossible under traditional data processing models.
X1’s architecture supports integration with third-party AI models, including both open-source frameworks and proprietary corporate LLMs, providing flexibility for enterprises to tailor solutions to their unique operational, legal, and security needs.
By eliminating data movement, organizations can:
- Reduce risk exposure by keeping sensitive information within existing security boundaries.
- Cut infrastructure and egress costs associated with data migration.
- Accelerate insight generation by avoiding the latency of large-scale transfers.
- Enhance compliance by ensuring data never leaves its governed environment.
The unique ability of our distributed micro-indexing technology is redefining how corporate enterprises think about deploying AI, said Larry Gill, CEO of X1. By enabling the forward deployment of advanced AI models across a global organization, companies can achieve unprecedented operational efficiency, cost savings, and analytical insight. X1 is truly enabling the impossible—AI at enterprise scale, in-place.
Real-World Applications of AI In-Place
The implications of X1’s new capability extend far beyond theory. This innovation unlocks a range of powerful, practical use cases across industries:
- In-Place TAR (Technology-Assisted Review): Revolutionizing eDiscovery by enabling legal teams to perform AI-assisted document review directly at the source, dramatically reducing processing time and cost.
- Data Classification for Governance, Risk, and Compliance (GRC): Automatically identifying and tagging sensitive, regulated, or confidential information across global data environments—without moving or duplicating it.
- Real-Time Security and Audit Analytics: Empowering security teams to detect anomalies, policy violations, and risks across massive unstructured data volumes in real-time, at petabyte scale.
- Knowledge Management and Search Optimization: Delivering AI-enhanced contextual search and content discovery capabilities across enterprise systems, improving productivity and decision-making.
Each of these workflows benefits from the same foundational principle—bringing AI to the data, not the other way around.
Why This Matters: The Future of Enterprise AI
For most organizations, the greatest barrier to enterprise-wide AI adoption has not been the sophistication of AI itself—but rather the limitations of traditional data infrastructure. Moving terabytes or petabytes of sensitive, unstructured data across networks introduces unacceptable costs, latency, and compliance risks.
X1’s innovation finally removes those barriers. With AI In-Place, enterprises can extend the reach of artificial intelligence to their entire data estate, including repositories that were previously considered too sensitive, too complex, or too distributed to analyze.
This advancement will empower legal, compliance, and IT leaders to make faster, more informed decisions while maintaining full control over data governance and privacy obligations.
Availability and Next Steps
The X1 Enterprise Platform with AI In-Place capability is available immediately through X1’s global channel partners and can be deployed in multiple configurations—cloud-based, on-premises, or hybrid—depending on organizational needs and compliance requirements.
To showcase the new functionality, X1 will host a live webinar on Wednesday, December 10, featuring a detailed walkthrough and live demonstration of AI In-Place analysis in action. The session will explore real-world examples, integration options, and deployment best practices for enterprises looking to modernize their data intelligence capabilities.
Source Link:https://www.businesswire.com/
