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.
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.
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.
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.
Specific cases with stiff penalties. Prosecutors use your telemetry as the central evidence.
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.
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.
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.
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.
Sentinel observes. Counsel reviews. Remediate fixes. Assurance reports. Every step within privilege.
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.
Bar-licensed attorneys with engineering fluency review every flag. The record stays inside privilege from end to end.
Counsel-drafted fixes, codified into reusable playbooks. The patch and the proof of reasonable care.
Board, regulator, and auditor summaries that show governance maturity without piercing the protections that make the program durable.
Across functions and industries, AI agents touch dozens of federal bodies of law and agency rules. Filter to see where your real exposure sits.
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.
Markets, industry, regulatory landscape, AI stack, agents in production.
Your unique exposure profile, built and owned by attorneys, kept under privilege.
Pre-built coverage configured to your fingerprint and connected to your stack.
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
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.
Governance as Architecture.
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.
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.
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