Breach response has changed.
Incidents are larger. Data is messier. Reporting obligations are tighter. And the tolerance for mistakes, missed individuals, duplicate notifications, and inconsistent documentation, has never been lower.
Yet the hardest part of breach response has remained stubbornly manual: turning a chaotic, multi-format data set into defensible, decision-ready outputs including an impacted-individual list, the supporting rationale, and reporting artifacts teams need to move forward confidently.
Relativity aiR for Data Breach Response is now generally available—bringing purpose-built generative AI skills into agentic workflows that operate at scale. This launch marks a new era for data breach response, transforming what has traditionally been a manual, fragmented process into a streamlined, end-to-end experience powered by generative AI.
aiR for Data Breach Response delivers automated sensitive data mining and entity linking for notification readiness—all within RelativityOne and Azure.
Breach Response Needs Holistic Legal Data Intelligence
In breach response, the real bottleneck isn’t finding documents with PII or PHI—it’s what comes next: extracting sensitive data across messy file types, linking it to the right individuals, deduplicating across the full population, and producing a notification-ready, defensible record of what was found and why decisions were made.
Historically, organizations have tackled this with a patchwork of e-discovery tools, spreadsheets, scripts, and point solutions. Even when individual pieces work, the workflow often breaks at critical handoffs—with revalidation loops, offline entity lists, and outputs that must be rebuilt at every stage.
What teams need is a connected, end-to-end workflow that transforms raw breach data into defensible decisions—fast—while keeping human judgment at the center.
What’s New and What It Unlocks
Now generally available, aiR for Data Breach Response delivers a step-change in the most time-consuming part of breach response: manual PI extraction and linking. Generative AI automatically identifies and connects PII and PHI across documents, accelerating both review and quality control—with results that carry forward into quality control (QC) and reporting without rebuilding outputs at every stage.
As analysis runs, project leads gain real-time visibility into PI/PHI identification, extraction, linking progress, and document-level errors. Once complete, reviewers shift their focus to QC—validating detections and AI-generated links rather than manually stitching data together. Normalization then generates an entity report, and after conflicts and clusters are reviewed, you can rerun it to produce a finalized export.
The result is a faster, more defensible path to notification readiness—powered by a connected, end-to-end workflow that reduces downstream rework and revalidation loops.
AI-powered and Designed for Defensibility
aiR for Data Breach Response shifts effort from repetitive manual tasks to higher-value review and decision-making.
In traditional workflows, reviewers spend countless hours combing through documents, identifying sensitive data, linking it to individuals, normalizing results, and repeating the process as scope evolves. With aiR, generative AI accelerates identification, linking, and deduplication—enabling experts to focus where it matters most:
- Validating and resolving edge cases
- Assessing anomalies and inconsistencies earlier
- Confirming defensible outcomes before exports and downstream actions
One customer described the impact this way:
“aiR for Data Breach Response, with the full scale of the RelativityOne platform, transformed our workflow efficiency, saving us significant review time. We were able to deliver faster time to insight with the added leverage of generative AI, and maintain our defensible outcomes for our client, ensuring they navigate breaches with greater confidence.”
This aligns with what Forrester Consulting found in its New Technology: The Projected Total Economic Impact™ study of Relativity's data breach response tool. The composite organization reduced reviewer time for document review and data ingestion by up to 60 percent, driven by improved efficiency and fewer false positives—while also achieving measurable time savings in downstream reporting.
Trust and Operational Fit to Match How Breach Responses Run
aiR for Data Breach Response is built directly into RelativityOne and hosted exclusively in Microsoft Azure. It leverages Azure OpenAI, which does not retain document data outside your instance or use customer data to train models for Relativity, Microsoft, or third parties.
Designed to support the scale of modern Legal Data Intelligence workflows, RelativityOne enables teams to manage even massive incident collections—including terabytes of emails, short messages, spreadsheets, and scanned PDFs—within a single secure platform. Customers can process and investigate their full incident dataset, decrypt protected files, and cull to a breach-relevant population before seamlessly running aiR for Data Breach Response on the scoped subset.
The result is end-to-end PI/PHI detection and entity linking within a connected workflow, without rebuilding outputs across disconnected systems or introducing risk through repeated data imports and exports.
We also publish operational guardrails and performance guidance for agentic workflows across RelativityOne—including tracked quotas and incremental processing—because predictable execution is foundational to defensibility.
As breach response becomes increasingly multi-jurisdictional, scale is about more than volume; it’s about handling global data consistently. aiR is largely language-agnostic and has been evaluated across 83 languages, including support for CJK characters within the aiR for Data Breach Response workflow and reporting outputs. While primarily tested on English-language documents, early testing on non-English datasets has shown encouraging results, and we’ve developed guidance to help teams operate aiR effectively across languages.
Why this Matters for Providers, Counsel, and Insurers
Built directly into RelativityOne, aiR for Data Breach Response combines advanced AI with purpose-built cyber workflows to accelerate sensitive data mining, so experts can focus where it matters most.
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Service providers and incident response firms can execute faster and more consistently, reducing rework and increasing throughput without scaling headcount linearly.
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Breach counsel gain faster, defensible clarity, accelerating time to advice while keeping human judgment and oversight central.
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Cyber insurers benefit from more predictable and defensible breach execution, reducing variance and improving outcome consistency to help protect loss ratios.
aiR for Data Breach Response delivers end-to-end culling, PI extraction, and entity linking—not just isolated steps. The result is a single Legal Data Intelligence workflow that combines AI-powered acceleration with defensible outcomes.
See It in Action
aiR for Data Breach Response marks the next generation of Legal Data Intelligence—built on the foundation of RelativityOne’s AI platform and designed to deliver AI-powered speed, human-centered judgment, and defensible outcomes at scale. And we’re just getting started.
If you’re ready to modernize your breach response workflow, let’s connect. Schedule a workflow session with our team to see aiR in action and start building a faster, repeatable, and defensible path to notification readiness.
