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Institutional Data Privacy Audit
Privacy Risk,
Quantified
Quantified privacy risk assessment that supplements your due diligence. A standardized, reproducible rating of the privacy exposure inside a dataset, so counsel knows where to look.
Latest Research
The Mosaic Effect in M&A
How seemingly innocuous data combinations create hidden liability in acquisitions.
White Paper15 min read
Read Paper One Score, One Exposure Band
Every dataset receives a standardized LQ Score and a modeled exposure band. Both measure inherent exposure: what personal data is in the file and how linkable it is, before diligence confirms consent, lawful basis or provenance.
LQ
LQ Score
Standardized Rating
Rates inherent privacy exposure from 0 (critical) to 100 (minimal), based on the sensitivity, density and linkability of the personal data detected. Same file, same score, every time.
$
Exposure Band
Directional Estimate
A modeled dollar range for inherent exposure, scaled by record count and regulatory context. Directional, not a prediction of penalties: diligence determines how much of it remains.
Sample Report
See What Counsel Receives
A real scan of a synthetic telehealth patient export with 15,847 records. Nothing in the report is hand-entered: it is exactly what the scanner produces for that file.
- A one-page executive summary: score, exposure band, where the exposure comes from and the linkages
- Follow-up questions for counsel, generated from the findings
- A coverage statement showing exactly what was checked
How It Works
From Dataset to Diligence Focus
LQ scans a dataset for 70+ direct PII types and 20+ toxic combinations of fields that can re-identify people together, even when no single field does. A published, deterministic methodology turns those findings into a standardized score.
The scan measures what is in the data, not whether it is lawfully held. It tells counsel where the exposure is, so diligence can confirm consent, lawful basis and provenance where it matters most and inform reps, warranties and indemnities.
View Full MethodologyFrom the Sample Report
LQ Score
54.5/ 100
Moderate Risk
Exposure Band
$10M–$50M
Inherent, directional
15,847 patient records with health, contact, location and demographic data and four re-identification linkages. The report lists ten follow-up questions for counsel, from HIPAA status to AI training consent.
The Mosaic Effect
Harmless Alone. Identifying Together.
No single field below names anyone. Combined, they single out most of the country. This is the risk manual review rarely catches, and the one LQ is built to find.
5-digit ZIP code
Shared by thousands of neighbors
Date of birth
Shared by thousands nationwide
Gender
Shared by half the population
87%
of Americans can be uniquely identified by these three fields together.
Sweeney (2000). Read the white paper
Lawyers Sample. LQ Checks Every Row.
Header, pattern and checksum checks run on every value in the file. NLP entity recognition uses a reproducible sample, and every report states exactly what was checked.
Every Row Checked
Same File, Same Result
Published Methodology
Zero Data Retention
Dictionary
Comprehensive definitions of privacy concepts—from k-Anonymity to Differential Privacy.
Browse TermsWhite Papers
In-depth research on privacy valuation methodologies and regulatory frameworks.
View PapersReady to Quantify Privacy Risk?
Try the Data Scanner, or start with the sample report to see what counsel receives.
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