M&A Due Diligence

AI‑Powered Deal Protection

Uncover hidden risks that blow up deals post-close. Lumi agents analyze 2,800+ contracts, detect undisclosed related parties, map cascading customer risks, and quantify revenue at risk — in minutes, not weeks.

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Deal Pipeline

Live

High Risk

In Review

Cleared

ATLAS-001

Hidden related party — $890K undisclosed

Critical

ATLAS-002

Change of control — 23 contracts at risk

Critical

ATLAS-003

GPL license violation — $1.2M remediation

High

ATLAS-004

Predictive churn — $2.1M at risk

Medium

ATLAS-005

Compliance audit — cleared

Clear

Hidden Risk Discovery

Find what humans miss.
Protect your deal value.

Traditional DD misses hidden related parties, cascading customer dependencies, and predictive churn signals. Lumi fuses 15 data sources — LinkedIn, SEC filings, code repos, support tickets — to uncover risks before they become post-close surprises.

2,847

Contracts analyzed in 14 minutes

Hidden Related Parties

Cross-references LinkedIn and SEC filings to detect undisclosed relationships — like a CFO's brother-in-law running an $890K vendor contract.

SEC + LinkedIn fusion

Change of Control Cascade

Maps which customer contracts have CoC termination rights and models the cascading revenue impact — $5.1M ARR across 23 contracts.

Network graph analysis

Compliance Gap Detection

Identifies missing BAAs for healthcare customers, GDPR DPAs for EU accounts, and SOC2 certification gaps — $1.8M ARR at regulatory risk.

HIPAA + GDPR + SOC2

License Violation Scan

Scans code repositories for GPL/LGPL violations that require open-sourcing proprietary code or expensive remediation — $1.2M cost avoidance.

Code repo scanning

Predictive Churn Analysis

ML models analyze support tickets, usage patterns, and resolution times to predict $2.1M in high-risk accounts — vs. $680K from traditional analysis.

Behavioral ML signals

MFN & ASC 606 Risks

Detects most-favored-nation clauses with margin compression risk and ASC 606 revenue recognition issues across customer contracts.

Deal term extraction

The Challenge

Due diligence is a document avalanche

Legal teams manually review thousands of documents across data rooms, flagging issues in spreadsheets and drafting reports from scratch. Critical risks get buried in volume, and timelines slip.

Today

Manual review, buried risks

Documents reviewed one-by-one in virtual data rooms

Key terms extracted manually into tracking spreadsheets

Regulatory risks assessed through checklist approaches

Financial analysis done separately from legal review

With Lumi

Intelligent, comprehensive, and fully cited

AI agents analyze entire data rooms in hours not weeks

Key terms auto-extracted with clause-level citations

Regulatory screening across multiple jurisdictions simultaneously

Integrated financial and legal analysis in unified workflow

How It Works

A six-stage risk discovery pipeline

Lumi agents ingest documents, fuse 15 external data sources, apply entity resolution, run predictive models, and generate actionable recommendations with quantified impact.

Document Ingestion

2,847 contracts loaded, classified, and indexed in 14 minutes

Entity Resolution

Cross-reference parties with LinkedIn, SEC filings, and public records

Risk Classification

Categorize findings into 9 risk types with confidence scores

Network Analysis

Map customer dependencies and cascade effects on revenue

Predictive Models

ML churn analysis on behavioral signals from support and usage data

Agents at Work

Specialized agents for every deal review task

A coordinated team of AI agents — each handling a distinct due diligence function — working together to review deals faster and with full citation coverage.

Document Classifier

Ingests and classifies thousands of data room documents by type — contracts, financials, corporate records, IP filings — building a structured knowledge base for analysis.

Contract Analyzer

Extracts key terms, obligations, representations, and risk clauses from agreements — identifying change of control triggers, assignment restrictions, and termination rights.

Regulatory Screener

Screens for regulatory risks across antitrust, CFIUS, export controls, data privacy, and industry-specific requirements — flagging issues that could delay or block closing.

Financial Reviewer

Analyzes target financials for revenue quality, working capital trends, off-balance sheet items, and accounting policy consistency across reporting periods.

Risk Scorer

Generates composite risk scores integrating legal, financial, regulatory, and operational findings into a unified deal risk assessment with materiality ratings.

Report Assembler

Compiles comprehensive due diligence reports — executive summary, detailed findings, risk matrix, and recommendations — with full citations to source documents.

Use Cases

Where Lumi protects deal value

Built for PE firms and corporate development teams who need to find hidden risks before they become post-close surprises.

Pre-Acquisition Due Diligence

Analyze 2,800+ contracts in 14 minutes, uncover hidden related parties, quantify change-of-control risk, and generate committee-ready reports with recommendations.

Deal Term Negotiation

Quantify ARR at risk to support price adjustments, earnout structures, and retention bonuses — with specific dollar amounts tied to each risk finding.

Customer Retention Planning

Identify high-churn-risk accounts using ML behavioral signals — support tickets, usage decline, resolution delays — and plan retention strategies pre-close.

Compliance Remediation

Surface missing BAAs, DPAs, and certifications with prioritized remediation timelines — converting compliance gaps into closing conditions.