Privileged AI oversight

Get value from your AI, without the risk.

Privlex translates the law (statutes, regulations, and agency guidance) into machine-scale classifiers. We scan your enterprise systems, model outputs, and agent activity for the patterns that produce legal exposure. Attorneys review flagged patterns so your findings come back as privileged work product.

Built differently, on purpose.

Doctrine

Legal doctrine, quantified.

Most AI tools classify around PII, PCI, or generic framework controls. Privlex translates the law (statutes, regulations, and agency guidance) into machine-scale classifiers covering privilege, work product, MNPI, Title VII, Reg FD, the FCRA. You operate from a defensible position, not a compliance checkbox.

Privilege

Privilege, by a real law firm.

No SaaS vendor can manufacture attorney-client privilege on its own. Privlex pairs the platform with bar-licensed attorneys, so every flag, finding, and remediation is attorney work product. You're protected by legal structure, not just policies and paperwork.

The law applies to AI today.

Specific cases with stiff penalties. Prosecutors use your telemetry as the central evidence.

Hiring · ADEA
$365K

EEOC v. iTutorGroup

The first federal AI hiring discrimination consent decree. The smoking gun was iTutorGroup's own application code: two identical resumes differing only by birthdate. The older was auto-rejected, the younger got an interview.

Healthcare · Medicare Advantage
90%

Estate of Lokken v. UnitedHealth

Internal naviHealth data showed 90% of nH Predict-driven coverage denials are reversed on appeal. Plaintiffs allege case managers were pressured to stay within 1% of the algorithm's prediction. Survived dismissal. Broad discovery into the algorithm ordered.

Insurance · ERISA
1.2sec

Kisting-Leung v. Cigna

Average review time per claim under the PxDx algorithm. 300,000+ denials in two months. Now an active class action for ERISA fiduciary breach. Cigna's own internal performance data is central to the case.

Customer · Common law
$812

Moffatt v. Air Canada

Modest damages, foundational ruling. Air Canada's chatbot fabricated a bereavement-fare policy. The tribunal rejected the airline's argument that the chatbot was "a separate legal entity." Vendors no longer get to disclaim what their AI tells customers.

Four products. One privileged record.

Sentinel observes. Counsel reviews. Remediate fixes. Assurance reports. Every step within privilege.

Privileged Telemetry

Sentinel

Captures facts on the ground that the legal analysis requires, wherever they live. Real-time telemetry, automated scans of enterprise systems like ATSs, credit models, and claims platforms, or aggregated outcome windows. All in your VPC, under customer-controlled keys.

Lawyer-Technologist Review

Counsel

Bar-licensed attorneys with engineering fluency review every flag. The record stays inside privilege from end to end.

Privileged Playbooks

Remediate

Counsel-drafted fixes, codified into reusable playbooks. The patch and the proof of reasonable care.

Audit-Ready Reporting

Assurance

Board, regulator, and auditor summaries that show governance maturity without piercing the protections that make the program durable.

Federal coverage, mapped to actual legal consequence.

Across functions and industries, AI agents touch dozens of federal bodies of law and agency rules. Filter to see where your real exposure sits.

9
Functional areas
7
Industries
70+
Federal categories
Function
Industry
HRTitle VII discrimination in hiring recommendations
HRADEA collective claims (Mobley v. Workday pattern)
HRADA accommodation denials without documentation
HRFCRA violations in background check handling
HREqual Pay Act disparities in salary recommendations
HRNLRA: protected concerted activity flagged as misconduct
HRVendor liability as employer's "agent"
FinanceMNPI surfaced to unauthorized personnel (federal securities)
FinanceSOX material weakness in AI-assisted close
FinanceReg FD violations in AI-drafted communications
FinanceBSA / AML suspicious activity flagging failures
FinanceOFAC sanctions screening false negatives
FinanceECOA fair lending violations in credit decisioning
SalesFTC §5 deceptive practices in chatbot claims
SalesTCPA violations without consent documentation
SalesCAN-SPAM unsubscribe failures
SalesLanham Act false advertising in competitive comparisons
SalesCOPPA violations in marketing to children
CustomerFCRA reinvestigation failures
CustomerFDCPA violations in AI collection comms
CustomerProduct-liability admissions in AI support
CustomerNegligent misrepresentation by chatbot (Air Canada pattern)
CustomerADA Title III failures in customer accommodation
IT / PrivacyGDPR Article 15 / 17 access & erasure failures
IT / PrivacyCross-border data transfer (Schrems II)
IT / PrivacyHIPAA Breach Notification Rule failures
IT / PrivacyFTC Health Breach Notification Rule failures
IT / PrivacySEC cybersecurity disclosure (Item 1.05) gaps
ProcurementFCPA violations in foreign vendor interactions
ProcurementAnti-Kickback Statute violations in vendor selection
ProcurementVendor agency-doctrine exposure
ProcurementUFLPA / forced-labor supply chain failures
ProcurementVendor risk documentation failures
OperationsOSHA recordkeeping failures
OperationsEPA environmental compliance documentation gaps
OperationsCPSC product safety reporting failures
OperationsExport control violations (EAR, ITAR)
OperationsQuality control insufficient for product-liability defense
Fin. ServicesReg BI best interest documentation failures
Fin. ServicesSuitability violations in investment recommendations
Fin. ServicesKYC / CDD documentation gaps at onboarding
Fin. ServicesUDAAP violations in consumer financial products
Fin. ServicesInsurance bad faith in claims handling (Cigna PxDx)
Fin. ServicesElder financial exploitation pattern detection failures
HealthcareHIPAA Privacy Rule violations in PHI disclosure
HealthcareFalse Claims Act exposure in AI-assisted billing
HealthcareERISA fiduciary breach in algorithmic claims denial (Lokken)
HealthcareStark Law self-referral pattern creation
HealthcareAnti-Kickback Statute violations in referral handling
HealthcareEMTALA violations in emergency department triage
EducationFERPA violations in student record disclosure
EducationTitle IX investigation documentation failures
EducationSection 504 / ADA accommodation process failures
EducationClery Act incident classification failures
EducationTitle IV financial aid eligibility errors
GovernmentFOIA exemption misapplication
GovernmentPrivacy Act violations in records handling
GovernmentAPA procedural failures in rulemaking / adjudication
GovernmentFirst Amendment violations in content moderation
GovernmentFederal Records Act retention violations
Tech / SaaSSection 230 content moderation documentation
Tech / SaaSDMCA takedown handling failures
Tech / SaaSService availability documentation for SLA claims
Tech / SaaSSecurity incident response documentation gaps
Tech / SaaSOpen source license compliance failures
Real EstateFair Housing Act violations in tenant screening (SafeRent)
Real EstateSteering documentation creating disparate treatment
Real EstateECOA redlining patterns in property valuation / lending
Real EstateADA accessibility in property management
Real EstateFederal Lead-Based Paint Disclosure Rule failures
RetailADA website accessibility violations
RetailFTC Country of Origin labeling violations
RetailFTC Mail / Telephone / Internet Order Rule violations
RetailCPSIA children's product safety violations
RetailFTC Made in USA Labeling Rule violations

Your exposure is unique. So is your coverage.

We build your AI Fingerprint, a living map of where your real exposure sits, and layer pre-built coverage modules on top. Getting you ready in weeks, not months.

Inputs

Client inputs

Markets, industry, regulatory landscape, AI stack, agents in production.

Map

AI Fingerprint

Your unique exposure profile, built and owned by attorneys, kept under privilege.

Configure

Tailored modules

Pre-built coverage configured to your fingerprint and connected to your stack.

Operate

Living framework

Real-time, actionable, fully under privilege. Updated as the law moves.

Privlex is the first governance approach our lawyers actually want us to deploy, instead of dreading what discovery will surface.
Chief Commercial Officer · Fortune 500 Organization

Reading what we're writing.

Long-form analysis from the people building privileged AI oversight. Each note traces a single problem in AI governance from operational fact pattern through to legal consequence.

Notes · No. 02 · May 2026
Long read · Governance · 16 min

The Framework
Industrial Complex.

Governance as Architecture.

Now reading

Every organization above a certain size now has an AI Governance Framework. Very few have governance. The gap between the documents on the shared drive and the decisions getting made at the execution boundary is where the next round of failures will arrive.

Read the piece → Browse all Notes →
Previously No. 01 The Reliability Trap.Using Accountability to create Value. Read →

Lawyers and technologists who've shipped both.

Privlex's principals have built AI systems for regulated enterprises, advised the White House and federal regulators, and led delivery in defense and intelligence environments.

Joe Ewing

Joe Ewing

Co-Founder & Chief Technology Officer

Twenty years building, modernizing, and scaling complex platforms across commercial, regulated, and defense environments. From generative AI to FedRAMP / IL4 / IL5 cloud delivery.

Read full bio

Joe Ewing is the (acting) Chief Executive Officer, Chief Technology Officer, and Co-Founder of Privlex, where he leads the firm's technical vision and delivery. He previously served as Chief Technology Officer at Clarion AI Partners.

His experience spans large-scale enterprise implementations, AI-enabled and data-integrated systems, and modernization for mission-critical workflows. From generative AI to advanced analytics, automation, cloud platforms, and enterprise application modernization.

Earlier in his career, Joe led platform and cloud modernization for U.S. defense, intelligence, and civilian agencies, delivering secure systems under NIST, FedRAMP, and IL4/IL5.

Aaron Rieke

Aaron Rieke

Co-Founder & Chief Legal Engineer

Lawyer-technologist working at the intersection of law, engineering, and public policy. Has advised the White House, Congress, federal regulators, and leading technology companies.

Read full bio

Aaron Rieke is the Co-Founder and Chief Legal Engineer of Privlex, where he helps organizations navigate the legal, regulatory, and technical realities of deploying AI in high-stakes environments. He previously served as a Senior Partner at Clarion AI Partners.

Aaron has advised the White House, Congress, federal regulators, and leading technology companies on AI governance, risk, and compliance. Most recently, he served as Chief of Staff and Attorney-Advisor to a Commissioner at the Federal Trade Commission.

Prior to the FTC, Aaron was Managing Director at Upturn, a technology policy nonprofit. His work has been featured in The New York Times, The Washington Post, The Wall Street Journal, Harvard Business Review, and The Economist.

Ship your next AI agent defensibly from day one.

Tell us about your environment and the agents you're running. We'll show you what privileged AI oversight looks like for your business.

hello@privlex.io
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