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Relativity for Cyber Insurers background image
Relativity for Cyber Insurers

Improve cyber claim outcomes with tech built for
data mining, workflow discipline, notification precision, execution quality

How service providers and law firms handle sensitive data mining and reporting can shape breach response execution. Relativity aiR for Data Breach Response brings those workflows into one AI-platform, helping teams move faster with disciplined, defensible analysis.

Why Technology Matters in a Response Workflow

Technology shapes how the work gets done – ultimately impacting notification decisions, reporting effort, operational guidance, and costs.

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Where downstream costs build

Data mining, legal analysis, entity linking, and notification prep often rely on slow, manual processes and disconnected tools. Purpose-built solutions, like aiR for Data Breach Response, support workflows in a more connected and defensible way.

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Why precision matters

A name appearing in data isn’t the same as sensitive data being linked to an individual. When firms rely on broad notification assumptions instead of true data mining and linking, outreach becomes unnecessarily expansive, expensive, and harder to defend.

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What insurers can do today

Insurers don’t need to redesign their processes. By setting clearer expectations and asking specific questions, they can strengthen how they evaluate and engage partner firms on breach response execution.

From Incident Scoping to Defensible Decisions

aiR for Data Breach Response helps service providers and law firms turn breach-relevant data into defensible, notification-ready outputs.

Step 1: Completed Outside Relativity

Incident contained

The initial forensics team investigates the incident and identifies the impacted files, systems, and databases that need further analysis.

Step 2: Completed in Relativity

Scope the relevant incident data

Broad incident collections are securely processed into aiR and culled to focus work on the relevant population.

Step 3: Completed in Relativity

Detect and link sensitive data

aiR’s AI-powered sensitive data mining identifies sensitive data, links it to impacted individuals, and deduplicates results into reviewable profiles.

Step 4: Completed in Relativity

Perform QC and generate reporting outputs

Teams use aiR to validate edge cases, resolve conflicts, and produce defensible entity outputs that support notification and reporting.

Step 5: Completed Outside Relativity

Determine next steps

The breach response team and the impacted client use the findings to decide on notification, regulatory remediation, and communication next steps.

Understanding the Cost Drivers
Know What You’re Paying for in Breach Response Quotes

Relativity provides the technology that service providers and law firms use, and that cost may appear in insurer-facing quotes in different ways – such as a separate technology line item, an embedded per-GB-data-mining fee, an hourly rate, or bundled into broader breach response services.

The key is understanding how the work is actually being done – not just how it’s being priced.

Questions worth asking: What to clarify in RFPs and quotes

  • Does the proposed approach rely primarily on manual review, technology-enabled sensitive data analysis, or a combination of both?
  • What is included in scope for processing, scoping, QC, reruns, and reporting?
  • Does the approach rely on broad notification assumptions or targeted data analysis?
  • What events trigger additional costs – expanded scope, reruns, additional review, or downstream reporting?
  • How are quality control and defensibility handled and documented?

Better Visibility. Better Outcomes.
What aiR for Data Breach Response Enables for Insurers

For claims leaders
More clarity, less rework

Gain a clearer view into how sensitive data mining and notification preparation are executed – and where the stronger workflow discipline can reduce rework or overly broad notifications.

For underwriters
Better insight into execution

Bring workflow visibility into broader conversations about quality, defensibility, and how claims are handled in practice.

For Panel and Program Leaders
Stronger alignment

Use technology and workflow expectations to support more informed conversations with partner firms, without requiring process or operational changes.

Why Client Firms Choose aiR for Data Breach Response

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Connected AI platform, not disconnected tools

aiR for Data Breach Response keeps culling, AI-driven sensitive data mining, QC, and reporting in one governed platform instead of stitched-together spreadsheets, scripts, and point tools.

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Defensible by design

Secure, transparent gen AI accelerates first-pass analysis and produces reviewable traceable outputs – all while keeping human judgment central to validation and downstream decisions.

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Precision over blanket notifications

Sensitive data detections and entity linking help firms distinguish between a name appearing in data and a person actually tied to exposed information – supporting more targeted notification analysis.

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Built on the scale of RelativityOne

Teams can process and scope large incident collections in one secure platform before breach-specific analysis begins.

Execute with discipline, transparency, and defensibility

If you’re handling sensitive data mining and notification prep across multiple partner firms, Relativity can help. Talk with our team to see aiR for Data Breach Response in action.

Learn more about technology-driven sensitive data mining

Protecting Cyber Insurance Loss Ratios Through Panel Efficiency

Understand why preferred workflows – not just preferred panels – can improve how breach response work is evaluated across claims.

Read the White Paper

Buying Breach: Your Essential Guide to Smarter Breach Response Procurement

Explore what insurers, panel firms, and counsel should look for when evaluating modern response workflows and technology.

Read the e-Book

The Projected Total Economic Impact™ of Relativity Data Breach Response

See independent ROI analysis on how a connected workflow can improve reviewer efficiency and reduce downstream manual effort.

Read the Report