Turn breach data into defensible, notification-ready outputs

Bring your data mining workflow – from detection to reports – into one AI-powered platform.

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From Patchwork Workflows to One Platform

Ditch the spreadsheets, scripts, and point tools. aiR for Data Breach Response transforms your manual, fragmented cyber incident process into a streamlined, accelerated experience, with data breach response software powered by generative AI.

Scope

Securely process and cull incident-related data to focus on the breach-relevant population.

Detect & Link

Automatically identify PI/PHI and connect it to impacted individuals across complex data sets.

Review & Report

Validate edge cases, normalize entities, and generate reviewable outputs ready for notification.

Trusted by Leading Cyber Breach Response and Data Mining Teams

From law firms to service providers, teams rely on aiR for Data Breach Response to reduce manual work, simplify sensitive data mining, and deliver defensible outputs – fast.

50%improvement in review efficiency

See how Deloitte helped a major retailer meet regulatory deadlines

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79%reduction in breach scope

Learn how Morae sped up review by 33%

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90%reduction in irrelevant data

See how KPMG cut 15M records down to 150K

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Report

143%ROI estimated by Forrester

See how organizations are realizing measurable savings

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"We deployed Data Breach Response in an email inbox review and cut down review costs by 75%. Data Breach Response uses AI to scan and process vast amounts of data to look for precise types of data elements to trigger notification obligation."


Heather Egan

Global Head, Strategic Advisory & Government Enforcement Business Unit

"My team is so excited about Data Breach Response. We get a tremendous amount of value from the ability to easily link people with personal information. It makes the data breach response process much simpler and more streamlined."


Kelly Friedman

Senior Counsel and National Leader, BLG Beyond

"It’s a game-changer to have aiR for Data Breach Response in RelativityOne. The time and cost savings are significant, and we’re able to move through data breach reviews significantly faster."


Kristen Finney

Senior Director, Morae

Why Firms Choose Relativity for Sensitive Data Mining

One connected workflow in RelativityOne

Scope, detect, link, QC, and export in one platform – without rebuilding work across spreadsheets and point tools.

Defensible by design, empowered by humans

Produce reviewable, traceable outputs that keep human judgment at the center of breach response.

AI-driven sensitive data mining

Go beyond just finding the personally identifiable information (PII) or protected health information (PHI). Detect and link personal information to build consolidated impacted individual profiles and reports faster.

Scale without breaking the workflow

Process broad incident collections, narrow to what matters, and keep everything in one secure environment.

How It Works

Move from analysis to quality control to reporting without recreating work at each stage.

Detect and link data with AI

Automatically identify protected data and link it to affected individuals so reviewers focus on quality control, not manual stitching.

Review and normalize entities

Resolve conflicts, deduplicate results, and validate impacted-individual profiles before export.

Get notification-ready outputs

Generate entity reports and reviewable downstream outputs with fewer revalidation loops.

Bring Breach Response into One Platform

See how aiR for Data Breach Response helps you move from incident data to defensible outputs – fast.

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Learn more about aiR for Data Breach Response

Introducing Relativity aiR for Data Breach Response

Read about our approach to cyber incident response from Relativity Chief Product Officer Chris Brown.

Read the Blog Post

Preparing for the Inevitable: AI-Driven Incident Response

See the benefits and quantitative results of using AI for your response versus the traditional and outdated approaches.

Read the White Paper

Is It Unethical Not to Use AI?

The risks of integrating AI into the practice of law are important to consider, but there's another important question to answer: Could it be unethical not to use AI?

Read the Blog Post