Luthor

Luthor

Luthor is an AI-powered compliance engine that automatically reviews marketing assets against regulations and internal policies before publication. It scans text, images, video, audio, SMS, social media, and URLs to detect violations like forward-looking statements, unsupported claims, off-brand language, and PII exposure. The platform enforces industry-specific rules (FTC, FINRA, UDAAP, GDPR) and checks content against approved knowledge bases, brand guidelines, and data privacy policies. It provides an audit trail with evidence for every decision, helping teams publish faster while reducing regulatory risk. Built for marketing, legal, and compliance teams in regulated industries like financial services, banking, and lending, Luthor integrates in days and offers enterprise-grade security (SOC2 Type II, AES-256 encryption).

Automation
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Added on
Nov 4, 2026
Multi-format ingestionPolicy engineFact checkingBrand voice rulesPII redactionAudit trailSOC2 Type IIZero data retention
Product information

Everything worth knowing about Luthor

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Multi-Format Content Ingestion
Review every asset before publication — text, images, video, audio, SMS, social media posts, and URLs — from internal drafts to customer-facing content across every channel.
Automated Policy Engine
Apply every policy to every asset in seconds. Block noncompliant phrases, unapproved guarantees, and legally risky statements using industry-specific rules including FTC, FCA, FINRA, UDAAP, and GDPR — so nothing depends on a single human reviewer.
Fact Checking Against Approved Sources
Every generated statement is checked against your approved knowledge base, product specs, pricing data, and historical claims so unsupported assertions never leave your systems. Surfaces the specific discrepancy and suggests a correction.
Brand Alignment Enforcement
Compares output against brand guidelines, tone rules, verified lexicon, and forbidden-phrase lists so voice never drifts between channels and generic superlatives get flagged before publication.
PII, PHI, PCI and Secrets Detection
Detects personally identifiable information, credentials, and regulated data in generated output, then blocks or masks it according to your data policy (e.g. redacting a card number to ****-****-****-1734).
Audit Trail and Defensible Evidence
Logs every flag, decision, and fix with clear evidence so legal and compliance teams can defend each approval after the fact — not reconstruct it from email threads.
Technical capabilities
Enterprise Security Architecture
SOC2 Type II certified with AES-256 encryption, zero data retention, and full audit logs — deployable without shipping your content to a black box.
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Who uses it

Real use cases, no hype
Pre-Publish Compliance Review
Scan every marketing asset against FINRA, FTC, SEC, and internal rules before it ships.
Claim Fact-Checking
Verify statements against approved specs and docs; flag or correct unsupported numbers.
Brand Voice Enforcement
Block off-brand superlatives and drift across channels with lexicon and tone rules.
PII & PCI Redaction
Detect account numbers, credentials, and regulated data in outbound content and mask them.
Audit & Evidence Trail
Log every decision with reasoning so legal can defend approvals months later.
Regulated Content Scale-Up
Push 200+ assets per quarter without adding review headcount.
Multi-Channel Coverage
Extend the same policy set to video, audio, social posts, and web URLs.
What's great
  • Catches FINRA/FTC/SEC violations before publish
  • Slashes review cycles from days to minutes
  • Full audit trail defends every approval
  • Covers text, image, video, audio, SMS, and URLs
Technical strengths
  • Policy engine applies stacked rule sets per asset in seconds
  • Knowledge-base grounding flags unsupported claims with auto-correct
  • PII/PCI detection with pre-send redaction
Where it falls short
  • No public pricing — demo-gated sales process
  • Built for financial services; other verticals thinner
  • No self-serve or free tier
  • Onboarding needs legal/policy engineer involvement
Technical limitations
  • Policy libraries require ongoing manual tuning as rules change
  • AI flags generate false positives needing human triage
  • Zero data retention blocks training on your own history
For technical folks

The deep-dive specs

Certification
SOC2 Type II
Encryption
AES-256
Data Retention
Zero Data Retention
Auditability
Audit Logs
Supported Policy Frameworks
FTC, FCA, FINRA, UDAAP, GDPR
Content Types Reviewed
Text, images, video, audio, SMS, social media, URLs

FAQ

Includes technical Q&A
Any marketing or communications asset before publication: copy, images, video, audio, SMS, social posts, and live URLs. Each asset is checked against your stacked policy sets — regulatory rules, fact-checking against approved sources, brand guidelines, and data-privacy rules.

Traffic Insights

Monthly Visits

—

November 2026

Growth Rate

0%

vs last month

Dominance

0%

in Automation

Top Country

—

Top Countries Breakdown

—

Growth Trend

Stable

Traffic has remained stable.

Pricing overview
Paid Pricing

Luthor Pricing

Luthor uses a paid pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on Luthor
Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
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Capterra
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Product Hunt
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