Stellitron
Long-Context Legal Intelligence: Ingesting entire case files in a single pass.
Long-Context Legal Intelligence: Ingesting entire case files in a single pass.
The Death of RAG in Law
Legacy Legal AI relies on Retrieval-Augmented Generation (RAG) which 'chunks' documents, leading to critical context loss and missed connections across massive litigation folders.
- ⚠Context Fragmentation: RAG loses the 'middle' of long contracts.
- ⚠High Latency: Multi-step retrieval cycles slow down urgent M&A due diligence.
- ⚠Inconsistency: Inability to compare Clause A on page 10 with Clause B on page 1,200.
Measured Impact
The Stellitron Engine
A high-throughput legal intelligence platform utilizing native 1M+ token context windows for holistic document ingestion.
Whole-File Ingestion
Upload entire data rooms or case files (up to 5,000 pages) in one sequence.
Holistic Reasoning
Stellitron analyzes the entire dataset simultaneously, identifying structural inconsistencies.
System Architecture
- • OCR-Optimized PDF/Word
- • E-Discovery Exports
- • Contract Libraries
- • Proprietary Legal OCR Pipeline
- • Stellitron Long-Context Transformer
- • Citation Mapping Layer
- • Consistency Reports
- • Risk Heatmaps
- • Automated Summaries
- • Clio
- • NetDocuments
- • Microsoft Word
Why This Is Hard to Copy
- →Dataset compounding from anonymized legal reasoning patterns
- →High switching costs due to integration with firm-specific CLM workflows
- →First-mover advantage in high-throughput legal inference optimization
Market Opportunity
“The shift from legacy chunking to holistic ingestion is the next frontier for Legal AI.”
Competitive Landscape
Competitive Landscape
| Feature | Luminance | Spellbook | Stellitron |
|---|---|---|---|
| 1M+ Token Context | Low | Low | High |
| Cross-Doc Analysis | Medium | Low | High |
| Word Integration | High | High | High |
Business Model
Enterprise SaaS
Platform access for mid-to-large law firms with unlimited seats.
Usage-Based Ingestion
High-volume processing for M&A data rooms and massive litigation discovery.
Custom Fine-Tuning
Bespoke model adaptation for specialized practice areas (e.g., Maritime Law).
Traction & Validation
“Stellitron's ability to 'read' a 3,000-page case file in one go has cut our review time by 70%.”
Financial Projections
Yearly Revenue Projections
Operating Assumptions & Burn Logic
Key Performance Indicators
The Ask
Exit Scenarios
Exit Scenarios
Comparable Exits
Risk Analysis
Risk Analysis & Mitigation
Hallucinations in 1M+ token windows.
Implement precise citation mapping and human-in-the-loop verification.
High inference costs for long documents.
Model distillation and tiered processing using smaller triage models.
Data sovereignty/GDPR compliance.
Zero-data retention (ZDR) agreements and on-premise deployment options.
Sources & References
Generated by
Stellitron AI
Data Sources
Exa AI Web Search
Thomson Reuters Innovation Lab
Gartner Legal Tech Hype Cycle 2025
References
For inquiries, contact:
contact@stellitron.comThis pitch deck is for illustrative purposes. All financial projections are estimates based on market conditions as of December 25, 2025.