LuminosAI Becomes First Vendor Certified for Applied AI Governance by the Ethical Tech Project
The Luminos Platform
Legal evals for every AI system. Automated. Defensible. Fast.
LuminosAI runs rigorous, law-firm grade legal evaluations across classical models, generative AI, and autonomous agents—automating the governance step that has always been the bottleneck between your AI and production.
Slash Approval Time
Accelerate your Time to Approval (TTA) without sacrificing rigorous legal compliance.
All AI Modalities
End-to-end legal and risk testing for Classical, Generative, and Agentic AI systems.
Eliminate Manual Documentation
Auto-generate audit-ready reports to remove the legal documentation bottleneck.
"Legal evaluation is the critical missing step in every AI deployment pipeline. We automate it — so the humans in your loop can focus on the decisions that actually need them."
Universal Coverage
Every AI system. Every risk category.
Legal risk doesn't discriminate by model architecture. Whether you're running a classical discrimination model, a generative language system, or a multi-step autonomous agent, each carries distinct legal exposure that requires targeted evaluation. LuminosAI covers all three — with Evals purpose-built for the specific failure modes of each system type.
Classical AI
Statistical Models & Pipelines
Deterministic models—scoring systems, classifiers, regression models, de-identification pipelines—carry legally significant risk around discrimination, disparate impact, and data privacy. LuminosAI applies regulator-approved statistical tests to surface these risks before deployment.
- Disparate impact & fairness testing (EEOC, CFPB)
- De-identification and re-identification risk analysis
- Training data copyright and provenance evaluation
- Bias audits across protected class dimensions
- Statistical drift monitoring post-deployment
Generative AI
LLMs & Multimodal Systems
Generative systems produce outputs that vary across runs, respond to adversarial prompting, and can expose organizations to liability through a single harmful generation. LuminosAI Evals test the full distribution of system behavior—not just the happy path.
- Prompt injection and jailbreak resistance
- Unauthorized professional advice detection
- PII exfiltration and data leakage testing
- Harmful, discriminatory, and defamatory output eval
- Transparency and disclosure requirement compliance
Agentic AI
Autonomous Agents & Pipelines
Agents that plan, act, and use tools introduce compounded risk at every decision node. A legally compliant individual action can become legally problematic in sequence. LuminosAI evaluates agent behavior across multi-step trajectories, not just isolated outputs.
- Tool use boundary and authorization analysis
- Multi-step trajectory legal risk assessment
- Scope creep and privilege escalation detection
- Third-party data handling and consent validation
- Autonomous decision audit trail completeness
Luminos Evals
Legal standards as executable test suites.
A Luminos Eval is a structured, versioned evaluation framework that encodes specific legal obligations as automated, repeatable test cases. Each Eval maps a regulatory standard—EEOC, GDPR, EU AI Act, HIPAA, CCPA, and more—to the concrete system behaviors that determine compliance.
Evals are authored by our legal engineering team: licensed attorneys and data scientists working together to express legal logic in a form that can run automatically against any AI system. The output isn't a consultant's opinion—it's a structured test result with a traceable chain of evidence.
Evals are parameterizable, composable, and extensible. You can run a pre-built Eval from our library, configure one to your jurisdiction and use case, or extend an existing Eval with organization-specific risk criteria. Every run is versioned and tied to the model checkpoint it evaluated.
Every Eval run automatically generates the documentation record that protects you from regulatory inquiry, supports litigation defense, and demonstrates due diligence to auditors and boards.
Integration Modes
Run Evals where your pipeline lives.
LuminosAI doesn't require you to rebuild your deployment workflow. Evals run natively inside the Luminos platform or execute via API inside your existing CI/CD, MLOps, or testing infrastructure. Either way, every run generates the same structured documentation record.
Mode 1
Luminos Platform Workflows
Submit any AI system to the Luminos platform and run automated Eval suites through our web interface or scheduled pipeline triggers. Built-in approval workflows route results to legal, data science, and compliance stakeholders with role-based visibility and action queues.
- No-code Eval configuration via platform UI
- Pre-built Eval library covering 20+ regulatory frameworks
- Automated routing to approval workflows on completion
- Stakeholder dashboards with real-time risk status
- Continuous monitoring schedules for deployed systems
- Documentation auto-generated and archived per run
Mode 2
API-First Embedded Evaluation
Call the Luminos Eval API directly from your MLOps pipeline, CI/CD system, model registry, or test harness. Evals become a first-class gate in your existing deployment workflow—returning structured JSON results and asynchronous documentation artifacts that integrate with your observability stack.
- REST and Python SDK with async and streaming support
- Webhook callbacks on eval completion and findings
- Structured JSON result schema for downstream processing
- CI gate mode — fail fast on critical legal violations
- Documentation artifacts download via API
Automated Documentation
Every eval run. Every protection, automatic.
- Regulatory Defense Package: Structured report documenting every probe, result, and legal standard tested — formatted for regulatory submission
- Litigation Defense Record: Timestamped, versioned eval history demonstrating due diligence — admissible evidence of your governance process
- Board & Audit Report: Executive-ready summary of AI risk posture, findings, and mitigations — in the format required by your governance committee
- Customer Trust Disclosure: Third-party attestation of AI evaluation coverage — demonstrating responsible AI practice to customers and partners
Why It Matters
Documentation isn't overhead. It's protection.
The standard of care for AI deployment is being written right now by regulators, courts, and plaintiffs' attorneys. Organizations that can demonstrate they ran rigorous, documented legal evaluations before deployment are in a categorically different legal position than those that can't.
LuminosAI generates this documentation automatically—not as a post-hoc export, but as a structured artifact produced at eval runtime, timestamped and cryptographically linked to the model checkpoint and Eval version that produced it.
Time to Approval
Our primary metric. Speed without compromise.
Time to Approval (TTA) is how we measure our success—the elapsed time between an AI system entering the governance process and receiving authorization to deploy. We are obsessed with reducing it. Not by removing governance steps, but by automating the ones that don't require human judgment. The result: manual review effort is concentrated on the highest-risk findings, while routine evaluations clear automatically.
Human in the Loop
We don't remove humans. We free them.
The goal of automation isn't to eliminate human judgment from AI governance. It's to ensure human judgment is applied where it actually matters—on the findings that are genuinely ambiguous, genuinely high-risk, and genuinely consequential.
We automate legal evals so that manual reviews only occur with the highest-risk systems. That's not removing humans from the loop. That's making the loop worth being in.