Case Study
Top 3 Pharmaceutical: AutoReports & AirgapAI
"We automated the seemingly impossible."
A top pharmaceutical company is converting dense legal contracts into actionable intelligence. AutoReports reduces review time from 30 minutes to 20 seconds per document, freeing approximately 62,500 legal hours annually.
62,500
Legal Hours Saved Annually
20.88s
16-Page Contract Processing
2M
Pages/Month Capacity
78X
Accuracy vs Traditional AI
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Benchmark Results
| Metric | Value |
|---|---|
| Processing (16-page, 3,068 words) | 20.88 seconds |
| Processing (8-page, 1,534 words) | 19.05 seconds |
| Average Response | 452 tokens |
| Processing Speed | 22.36-22.89 tokens/second |
| Pages per Minute | 45.9 |
| Monthly Queries | 124,137 |
| Monthly Pages Processed | 1,986,192 |
AutoReports Features
- Ingests multiple formats (Word, PDF, TXT, emails)
- Uses Blockify technology for document parsing into "IdeaBlocks"
- Eliminates hallucinations; boosts accuracy up to 78X versus traditional AI
- Configurable LLM prompts for specialized queries
- Supports multiple simultaneous LLMs for document processing
Sample Queries
- Threshold and liability caps identification
- Legal entity name extraction
- Rebate term detection and eligibility verification
- Product rebate eligibility assessment
- Compliance audit requirement identification
Business Use Cases
- Rebate agreement management and revenue tracking
- Expiration and compliance alerting
- Merger and acquisition contract harmonization
- Regulatory filing and reporting automation
Legal Team Applications
- Contract term analysis and extraction
- Multi-report meta-analysis
- Legal term and renewal tracking
- Contract negotiation redlining
- Procurement evaluation
- Risk mitigation and exposure identification
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Get complete details on how this top pharmaceutical company transformed legal operations with AI.
- 62,500 legal hours saved annually
- 30 minutes to 20 seconds processing time
- 2M pages/month processing capacity
- 78X accuracy vs traditional AI
- Complete benchmark results
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