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AI for Legal Document Classification & E-Discovery
Beag Labs builds custom small language models (500M-5B parameters) for legal document classification, e-discovery, and extraction. Trained on your matter data, deployed on-prem or air-gapped. No APIs, no data leakage, you own the model.
What you can automate.
E-discovery relevance classification
Classify millions of documents by relevance to matter specifics, reducing first-pass review volume by up to 85%.
Privilege review triage
Flag potentially privileged documents for attorney review while deprioritizing clearly non-privileged material.
Contract clause extraction
Extract and categorize clauses across large contract portfolios — assignment, indemnification, termination, and more.
Regulatory filing categorization
Sort inbound regulatory filings by type, jurisdiction, and urgency for faster downstream processing.
Why teams choose Beag Labs.
- ✓85% less manual effort
- ✓Consistent classification across review teams
- ✓Reduces outside counsel costs
- ✓Deploy on-prem — no data leaves your firm
Built for your security requirements.
Discuss your legal AI use case
Talk to us about your classification, extraction, or relevance workload. We'll show you how a custom SLM deployed in your environment beats a frontier API on cost, speed, and privacy.