A law firm running a mass tort campaign — a pharmaceutical injury, a product liability case, a securities fraud class action — might receive 500 inquiries in a week from advertising. Processing these inquiries with human intake staff is expensive, slow, and error-prone. AI mass tort intake handles the volume with consistent qualification, capturing the best cases while efficiently managing inquiries that don't meet criteria.
Mass Tort Qualification Complexity
Mass tort qualification requires gathering specific, accurate information that varies by campaign:
- Specific product or medication used, with date ranges
- Specific injuries or conditions that meet case criteria
- Treatment documentation and medical provider information
- Prior settlements or existing representation
- Statute of limitations compliance
- Geographic jurisdiction requirements
AI intake asks these questions consistently across every inquiry — never getting fatigued, never skipping steps, and never accepting vague answers that won't support a case.
Multi-Source Lead Integration
Mass tort leads arrive from multiple channels simultaneously: TV advertising, digital ads, lead referral networks, web forms, and organic search. AI intake integrates all sources into a unified qualification pipeline — no leads falling through channel cracks, consistent qualification regardless of source.
Lead Scoring and Prioritization
Not all mass tort inquiries are equal. AI scoring systems rank qualified claimants by case strength: injury severity, documentation completeness, damages clearly tied to the product, and timeline compliance. The highest-scored cases receive immediate attorney attention; lower-scored but still viable cases are processed in order. This prioritization maximizes attorney time on the cases with highest value potential.
Co-Counsel and Referral Management
Mass tort firms often refer cases outside their case type criteria to co-counsel partners. AI identifies cases that don't meet current campaign criteria but may be viable for partner firms — turning declined inquiries into referral fee revenue rather than simply rejected leads.
Campaign Economics
Mass tort advertising is expensive — $50–$200 per qualified lead from paid channels. AI intake that improves qualification accuracy from 60% to 85% on incoming leads effectively reduces cost per qualified lead by 29%. For a firm spending $100,000/month on mass tort advertising, that's $29,000 in effective advertising efficiency improvement from intake optimization alone.