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<\/a>\n\u201cEnabling AI directly where the clients\u2019 data resides fundamentally changes the economics, speed, and risk profile of enterprise data discovery, investigations and compliance workflows,\u201d said Mandi Ross, CEO at Insight Optix. \u201cWith X1 Enterprise AI In-Place, we can deploy AI models, pre-trained or customized for specific matters, data queries, or compliance requirements\u2014securely within client environments, dramatically accelerating time to insight without sensitive information being collected, duplicated, or centralized outside their control.\u201d<\/p>
\nBringing AI to the Data\u2014Not the Other Way Around<\/b><\/p>
\nEvery major eDiscovery and GRC platform on the market is built around the same collection-first assumption: move the data, then analyze it. That means copying, ingesting, and centralizing sensitive enterprise information into vendor-controlled repositories before a single AI query can run\u2014generating significant operational overhead, larger review populations, higher infrastructure costs, and the security and compliance exposure that comes with moving sensitive data at scale. And for larger scale projects involving terabytes of data, this framework is simply unworkable.<\/p>
\nX1 is built on a fundamentally different architecture. X1's patented distributed micro-indexing technology forward-deploys AI models directly into lightweight micro-indexes at the data source\u2014across Microsoft 365, file shares, cloud repositories, and endpoints\u2014enabling AI-powered analysis, classification, and workflow automation at petabyte scale, that would otherwise be effectively impossible. Enterprise data stays where it lives, behind the firewall, without being moved or copied. The result is faster investigations, materially lower infrastructure and review costs, stronger security posture, and a far more agile enterprise data intelligence platform.<\/p>
\nEnterprise AI Designed for Secure Deployment<\/b><\/p>
\nX1 Enterprise AI In-Place is designed for secure enterprise deployment across regulated and distributed environments. Organizations can centrally govern AI usage while keeping processing local under existing enterprise security policies and endpoint controls. AI capabilities remain fully optional and configurable by data source, and customer data is never used to train, fine-tune, or enrich underlying AI models.<\/p>
\nHow AI In-Place Works<\/b><\/p>
\nAI In-Place is a native capability within the X1 Enterprise Platform, not a bolt-on service. The workflow is simple:<\/p>
- \n
- \nDeploy: <\/b>AI models are deployed directly into X1\u2019s distributed micro-indexes, behind the firewall and close to enterprise data sources.<\/li>\n
- \nRun: <\/b>Models execute against enterprise data in-place, auto-applying AI-informed tags and classifications at massive scale.<\/li>\n
- \nQuery & Act: <\/b>AI-enriched insights are queried globally from a central console, supporting targeted collection, remediation, investigations, and review workflows.<\/li>\n<\/ul>
\nEnterprise Workflows Enabled by AI In-Place<\/b><\/p>
- \n
- \nLegal & eDiscovery: <\/b>In-place TAR, pre-collection analytics, and early case assessment\u2014dramatically accelerating review and reducing collection volumes before a single document is exported.<\/li>\n
- \nInformation Governance & Compliance: <\/b>AI-driven classification, policy enforcement, defensible remediation, and data separation workflows across enterprise repositories, including M&A, regulatory inquiries, divestitures, and departing employee investigations.<\/li>\n
- \nSecurity & Investigations: <\/b>Real-time insider risk detection and audit analytics at petabyte scale, across endpoint and cloud data environments.<\/li>\n
- \nEnterprise Insight: <\/b>Accelerated analysis across emails, documents, chats, and unstructured enterprise content without costly migration or centralized processing.<\/li>\n<\/ul>
\n\u201cAI In-Place represents a fundamental shift in how enterprises operationalize AI across distributed data environments,\u201d said Larry Gill, CEO of X1. \u201cBy enabling AI execution directly where enterprise data resides, organizations can achieve scalable insight, faster workflows, improved operational efficiency, and stronger security while maintaining control of sensitive information.\u201d<\/p>
\nAvailability<\/b><\/p>
\nAI In-Place for X1 Enterprise is generally available today through X1 and its global channel network, with deployment options supporting cloud, on-premises, and hybrid enterprise environments.<\/p>
\nSee AI In-Place In Action<\/b><\/p>
\nX1 will host a live product tour<\/b><\/a> on Wednesday, June 24 featuring a demonstration of AI In-Place operating directly across distributed enterprise data sources.<\/p>
\nAbout X1<\/b><\/p>
\nX1<\/b><\/a> <\/b>is the pioneer of micro-indexing software and global leader in index-in-place data discovery solutions. With more than 600,000 users in 20,000 different organizations globally, X1 solutions empower enterprises to meet mission-critical needs in legal, compliance, governance, and investigation data discovery. Please contact X1 at info@x1.com<\/a> or visit www.x1.com<\/a> for more information.<\/p>
- \nInformation Governance & Compliance: <\/b>AI-driven classification, policy enforcement, defensible remediation, and data separation workflows across enterprise repositories, including M&A, regulatory inquiries, divestitures, and departing employee investigations.<\/li>\n
- \nRun: <\/b>Models execute against enterprise data in-place, auto-applying AI-informed tags and classifications at massive scale.<\/li>\n