AI Governance Infrastructure

AI output you can
actually verify.

Lioren builds deterministic audit infrastructure for AI systems — starting with a Legal Engine that removes hallucination from litigation support by design, not by prompt.

Lioren Technologies
100%
Pack finding stability across all models tested
446→5
Finding labels per document vs. raw LLM baseline
5
Validated US federal and state statutory domains

Finding detection that runs before the model.

Most legal AI tools delegate finding detection to the model — which means output varies run to run. Lioren's Legal Engine separates statutory element detection from LLM inference entirely. What the engine finds is the same regardless of which model sits downstream.

Read the architecture →
Stability comparison — same document, 10 runs
Raw LLM — unique finding labels446
Rich prompt baseline — false positives on clean doc3 consistent
Lioren Engine — unique finding labels5
Lioren Engine — false positives on clean doc0
Pack stability across model providers100%

Three ways to work with us.

Legal Engine

Deterministic Audit for Litigation Support

Schema-stable, model-agnostic finding detection for charging documents, indictments, and trial exhibits. Currently in early access for litigation support teams and e-discovery firms.

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Red Teaming

Adversarial Evaluation

Systematic adversarial testing of LLM-based systems. We design and execute attack campaigns — prompt injection, jailbreak, multi-turn manipulation — and deliver structured findings with signal data.

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Solutions

Practical AI for Your Business

Document processing, workflow automation, content pipelines, and reporting — built for small and mid-size businesses. No technical background required.

See what's possible →

Tell us about your use case.

Whether you're evaluating the Legal Engine, need adversarial testing, or want to explore what AI can do for your business — reach out.

info@liorentechnologies.com