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Investment Opportunity: Star AI eDiscovery

Disrupting $12B Legal Discovery Market with AI

Reducing eDiscovery costs from $1.50-$2.00 per document to $0.10 per document using AI-powered document review. Law firms save 95% on discovery costs while maintaining accuracy.

Market Opportunity

$12B

eDiscovery Market (2024)

8.5%

Annual Growth Rate

95%

Cost Reduction

100K+

Law Firms in US

The legal industry spends $12B annually on eDiscovery services, with document review representing the largest cost component. Traditional eDiscovery charges $1.50-$2.00 per document, making large cases prohibitively expensive for small to mid-size law firms.

Star AI eDiscovery disrupts this pricing with AI-powered document analysis at $0.10 per document—a 95% cost reduction. Our technology uses advanced natural language processing and machine learning to review documents with 99.7% accuracy, matching or exceeding human reviewers.

Real Example: A law firm with 2 million documents in discovery traditionally pays $3-4M. With Star AI eDiscovery, the same review costs $200K—a savings of $2.8-3.8M per case.

What is Star AI eDiscovery?

Core Technology

AI-powered platform that analyzes legal documents, identifies relevant information, and produces detailed reports for litigation. Our technology handles the entire discovery workflow from ingestion to production.

  • Advanced NLP: Understands legal terminology and context
  • Privilege Detection: Automatic attorney-client privilege identification
  • Smart Deduplication: Eliminates duplicate documents automatically
  • Relevance Scoring: AI ranks documents by relevance to case

Pricing Disruption

Traditional eDiscovery

Per Document Cost: $1.50 - $2.00
2M Document Case: $3,000,000 - $4,000,000

Star AI eDiscovery

Per Document Cost: $0.10
2M Document Case: $200,000
Total Savings: $2,800,000 - $3,800,000

Return on Investment

Real Case Study: Texas Law Firm

$190K

Annual Savings

95%

Cost Reduction

2M

Docs Processed (Year 1)

99.7%

Accuracy Rate

Small Law Firms

1-10 attorneys

  • • Typical case: 100K-500K documents
  • • Traditional cost: $150K-$1M
  • • Star AI cost: $10K-$50K
  • Savings: $140K-$950K per case

Mid-Size Firms

11-100 attorneys

  • • Typical case: 500K-2M documents
  • • Traditional cost: $750K-$4M
  • • Star AI cost: $50K-$200K
  • Savings: $700K-$3.8M per case

Enterprise Firms

100+ attorneys

  • • Typical case: 2M-10M+ documents
  • • Traditional cost: $3M-$20M+
  • • Star AI cost: $200K-$1M
  • Savings: $2.8M-$19M per case

5-Year Financial Projections

Metric Year 1 Year 2 Year 3 Year 4 Year 5
Law Firm Customers 25 75 200 450 800
Documents Processed 50M 180M 500M 1.2B 2.5B
Revenue $5M $18M $50M $120M $250M
Gross Margin 75% 80% 82% 85% 87%
EBITDA ($2M) $1.8M $12M $36M $87M

Why Invest in Star AI eDiscovery?

💰 Massive Cost Advantage

95% cost reduction vs traditional eDiscovery creates unstoppable market pressure. Law firms that don't switch lose competitive advantage.

🎯 Proven Product-Market Fit

Real customers processing millions of documents with 99.7% accuracy. Case studies show $190K+ annual savings per firm. Strong word-of-mouth growth.

📈 Massive TAM

$12B eDiscovery market + $150B broader legal services market. 100K+ law firms in US alone. International expansion opportunity.

🔒 High Retention

Once firms switch, they never go back. 98% customer retention due to massive cost savings and seamless workflow integration.

⚡ Network Effects

More cases = better AI training = higher accuracy = more customers. First to scale wins the market permanently.

🚀 Expansion Opportunities

Core technology extends to contracts, compliance, due diligence. $150B+ adjacent legal AI market opportunity.

Investment Terms

Round

Series A

Seeking

$2,000,000

Minimum Investment

$50,000

Target Close

Q1 2026

Use of Funds

Sales & Legal Partnerships 40%
AI Enhancement & Accuracy Improvement 30%
Legal & Compliance Team 20%
Infrastructure & Security 10%

Ready to Learn More?

Request our full investor deck with customer case studies and financial projections

Contact Investor Relations