SYSTEM // v1.0 // OPERATIONAL

The Operating System for Modern Digital Law.

Stop treating digital regulation like a search problem. Navigate the "Convergence Crisis" with the world's first 100% deterministic, hallucination-proof reasoning engine.

100%
Deterministic
0
Hallucinations
7
Pillars unified
schema.convergence-engine
DETERMINISTIC ▸ LIVE
Inputs · 7 Pillars
P1
GDPR
Data Protection
P2
AI ACT
Model Governance
P3
DSA
Platform Duties
P4
DMA
Market Fairness
P5
NIS2
Cyber Resilience
P6
DORA
Operational Risk
P7
MiCA
Digital Assets
Output
proof.v1
deterministic · verifiable
Rank
100%
Halluc.
0
$ resolve --pillars=7
conflicts.merged
citation.trace ✓
ENTANGLEMENT → CLARITYproof.rank = deterministic

7 Regulatory Pillars. One Deterministic Engine.

The Command Matrix

Every domain your legal team navigates, mapped into a single, unified reasoning surface.

P1

Privacy & Data Protection

GDPR · DPA · ePrivacy

P2

Cybersecurity & NIS

NIS2 · Critical Infra

P3

AI Regulation & Governance

EU AI Act · Risk tiers

P4

Copyright & Content Law

DSM · Copyright · DSA

CoreLexOS Engine
P5

Cross-Border Data & Sovereignty

Data Localization · CBPR

P6

Platform Liability & Intermediary Rules

DSA · Notice-and-action

P7

Competition/Antitrust in Digital Markets

DMA · Merger Control

The Problem

Digital law is siloed.
Reality is converged.

A single digital move today — like launching a GenAI tool — triggers a chaotic collision of privacy, cyber, copyright, and competition laws simultaneously. Manual compliance can no longer keep up.

  • 7 regulatory pillars, 1 product launch
  • Cross-border conflicts detected in real time
  • Manual review cycles: weeks → minutes
diagram.regulatory-frictionLIVE
collision.timeline
5 / 4 CONFLICTS
status
LIVE
T-0 · LAUNCH
AI
Governance
HIGH
Privacy
Data Protection
CRIT
Security
Access Control
HIGH
Compliance
Reporting
MED
Ethics
Bias Review
HIGH
T-30dT-15dT-0T+15dT+30d
obligation window
friction band
The Solution

Single Engine. Dual Interface.

One deterministic reasoning core powers two purpose-built cockpits — for training your team, and for running live operations.

FOR TRAINING

The Flight Simulator

Train your legal and compliance teams in a risk-free sandbox. Run active missions, build legal logic blocks, and master the 7-pillar landscape before touching live client data.

  • Active missions
  • Legal logic blocks
  • Zero-risk sandbox
FOR OPERATIONS

The Live Cockpit

Real-time scenario simulation for high-stakes enterprise compliance. Catch 'Regulatory Poison Pills' in M&A due diligence and map cross-border conflicts instantly.

  • M&A due diligence
  • Cross-border mapping
  • Real-time signals
Live Convergence Analysis

Convergence Crisis in Action.

A routine tech deployment is no longer a simple IT decision.

Case Scenario · Active Ops
Typical Deployment Decision

"We are deploying an AI-powered CV screening tool on AWS Cloud to hire and manage foreign contractors."

— A common operational choice that looks like a simple IT procurement decision.

$lexos resolve --scenario=cv-screening
P3Risk

AI Regulation

High-Risk Triggered

Using AI for HR and CV screening classifies the tool as a 'High-Risk AI System' (e.g., EU AI Act Annex III), triggering mandatory conformity assessments, bias auditing, and human-in-the-loop oversight before deployment.

P5Risk

Cross-Border Data & Sovereignty

Transfer Blocked

Hosting foreign contractor data on offshore AWS servers triggers international data sovereignty laws, requiring verified transfer mechanisms (like SCCs) and localized data residency checks.

P1Risk

Privacy & Data Protection

Minimization Conflict

Automated profiling of applicants processes sensitive personal data, colliding with strict data minimization and algorithmic decision-making bans (e.g., GDPR Art. 22).

System Synthesis

Legacy tools treat these as three separate problems. LexOS maps them as one interconnected 100% deterministic mathematical proof.

Use Case · Elite Law Firms · M&A

100% Deterministic M&A Due Diligence

Catching the regulatory poison pill when standard legal research fails to calculate cross-pillar liability.

Case File · MA-2026-0417
Transaction Under Review

US Tech Giant acquiring FR GenAI Startup

Acquirer
US Tech Giant
Designated Gatekeeper
Target
FR GenAI Startup
Paris · Seed → Series B
Deal Value
$500,000,000
Primary Asset
10M image dataset + trained model
Question submitted to engine

“Is this a safe acquisition?”

lexos://engine/proof.exec
Glass Box · v7.2
> EXECUTING MULTI-PILLAR LOGIC PROOF...
[TEST 1 · COMPETITION LAW]
FACT: Buyer holds ‘Gatekeeper’ status. Deal value = $500M.
CONCLUSION: Mandatory merger notification triggered regardless of target’s revenue.
CITATION: EU DMA · Art. 14Statutory TextDigital Markets Act, Art. 14: Gatekeepers shall inform the Commission of any intended concentration within the meaning of Article 3 of Regulation (EC) No 139/2004 where the merging entities provide core platform services or any other services in the digital sector...
[TEST 2 · PRIVACY & DATA PROTECTION]
FACT: Target’s training dataset scraped without verifiable user consent.
CONCLUSION: Unlawful processing of personal data for AI training.
CITATION:GDPR · Art. 6Statutory TextGDPR Art. 6 (Lawfulness of processing): Processing shall be lawful only if and to the extent that at least one of the following applies: the data subject has given consent to the processing of his or her personal data for one or more specific purposes...GDPR · Art. 5Statutory TextGDPR Art. 5 (Principles): Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed (data minimisation).
SYSTEM VERDICT
⚠ CRITICAL POISON PILL DETECTED
REMEDY MANDATE: Algorithmic Disgorgement (mandatory model deletion).
PRECEDENT:FTC v. Everalbum (2022)Statutory TextFTC v. Everalbum, Inc. (2022): Order required deletion of models and algorithms developed using facial-recognition data obtained without users' express consent — a foundational precedent for algorithmic disgorgement.EU DPA EnforcementsStatutory TextSeries of EU Data Protection Authority decisions ordering deletion of AI models trained on unlawfully processed personal data (e.g. CNIL, Garante rulings 2023–2025).
ASSET VALUATION IMPACT: Target’s primary AI model legally valued at $0.
The Failure of Legacy Tools

Standard AI wrappers will summarize the IP contracts. LexOS executes the underlying data compliance as a mathematical proof.

Cryptographically signed

100% Traceable. Cryptographically Signed.

Zero hallucinations. Every conclusion is cryptographically linked to the official statutory text.

Deterministic proof chain
STATUTE
0x7a1f...e4d2
PROOF
0x9c3b...a81f
VERDICT
0x4e8d...22c7
The Architectural Moat

Why we win against LLM wrappers.

Three engineering commitments that make LexOS structurally different from any static library or probabilistic co-pilot on the market.

01 / MOAT

100% Deterministic Logic

Move beyond probabilistic AI guessing. Our Tri-Store architecture treats legal analysis as 'Engineering Truth' backed by mathematical proof. If the law says 'High Risk', the system doesn't predict it — it proves it.

02 / MOAT

Negative Knowledge

By explicitly modeling the absence of law, our engine deterministically tells you when no regulation exists — preventing costly over-compliance and eliminating the hallucination gap.

03 / MOAT

Time-Travel Audits

Regulations change daily. Shift our Temporal Validity Slider to reconstruct the exact legal landscape as it stood on any past date to defend historical decisions.

Who this is for

One platform. Three cockpits.

General Counsels

Reduce outside counsel spend.

Stop paying hourly rates for routine regulatory mapping. LexOS turns weeks of associate research into minutes of deterministic analysis — with every citation traceable back to source.

-62%
Outside counsel spend
18×
Faster triage
100%
Auditable trail
Get started

Turn legal bottlenecks into operational speed.

Join the next era of strategic regulatory intelligence.