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An automated intelligence pipeline that monitors regulatory actions, scientific research, and news to identify emerging personal injury opportunities for the firm.

The Schenk Law Firm, LLP

The Challenge

Too much signal,
not enough time

Every week, hundreds of product recalls, adverse event reports, medical studies, and investigative reports publish across dozens of sources. By the time a firm manually spots a pattern, competitors have already launched campaigns.

Tort Scanner automates this entire workflow, from raw data to attorney-ready reports, three times per week.

How It Works

Five-Stage Pipeline

01
Collect
Pull from
all sources
02
Filter
AI scores
each item
03
Research
Deep dive on
top topics
04
Draft
Memo +
landing page
05
Deliver
Google Drive
+ Tracker

Fully automated. No manual intervention required.

Stage 01

Collect

Monitors regulatory agencies, medical databases, and investigative journalism outlets via RSS feeds and APIs.

FDA Recalls

Product recalls and safety alerts from the Food and Drug Administration

CPSC Recalls

Consumer Product Safety Commission recall notices and hazard reports

PubMed

Medical research on adverse effects, product injuries, and toxic exposure

ProPublica

Investigative journalism on corporate accountability and consumer harm

The Markup / 404 Media

Tech accountability, AI harms, platform negligence reporting

Ars Technica / EFF

Tech policy coverage, digital rights, and emerging technology risks

Stage 02

Filter

AI evaluates every collected item against weighted criteria tailored to the firm's practice areas. Each item is scored 1 to 10.

Injury Severity
30%
Causation Strength
25%
Defendant Viability
15%
Legal Theory
15%
Market Gap
15%

Priority areas (digital harms, AI injuries) receive a scoring bonus. Set to "aggressive" to flag pre-litigation opportunities.

Stage 03

Research

Top-scoring opportunities receive deep research across six areas. All source URLs are validated before inclusion in the report.

Scientific Evidence

Published studies, FDA adverse events, CPSC complaints

Existing Litigation

Filed lawsuits, MDLs, class actions, JPML motions

Defendant Analysis

Solvency, market position, corporate signals, SEC filings

Plaintiff Population

Affected population size, demographics, reachability

Competitive Landscape

Existing firm campaigns, SEO saturation assessment

Legal Theory

Strongest theories, precedents, statutes of limitation

Stage 04

Draft

Two deliverables per topic

  • Research Memo: Executive summary, scored recommendation, evidence review, litigation landscape, defendant and plaintiff analysis, risk assessment, consolidated sources
  • Landing Page: Production-ready HTML with hero section, sourced statistics, legal theories, FAQ, firm CTA, and attorney advertising disclaimers
  • PDF Reports: Formatted research report and landing page draft as printable PDFs for offline review
  • Link Validation: Every URL is verified before the report is finalized. Dead links are automatically removed.
Sample landing page
Stage 05

Deliver

Reports are organized by date and uploaded to a shared Google Drive. Each topic gets its own folder with all deliverables.

Tort Scanner Output
    2026-02-20
        01-button-cell-battery-ingestion
            research-memo.md
            landing-page.html
            research-report.pdf
            competitive-analysis.md
            sources.md
        02-adult-portable-bed-rails
            ...
        daily-summary.md
    Tort Scanner Tracker
Continuous Improvement

Feedback Loop

The tracker spreadsheet creates a feedback loop. Rankings from previous runs calibrate future scoring, so the system learns what the firm values over time.

01

AI Filter

Reads past rankings to adjust scoring thresholds

02

Tracker Sheet

Topics logged with score and blank ranking columns

03

Attorney Review

Ranks topics as great, good, bad, or irrelevant

Rankings feed back into the next run

Sample Run: February 20, 2026

185 items scanned. 8 opportunities identified.

ScoreTopicCategory
8.8 Button Cell Battery Ingestion: Child Deaths Product Liability
8.7 Adult Portable Bed Rails: Entrapment Deaths Product Liability
8.7 Spa Entanglement and Drowning Deaths Product Liability
8.6 Dresser Tip-Over Deaths and Crushing Injuries Product Liability
8.6 High-Powered Magnet Ingestion in Children Product Liability
7.6 Firefighter PFAS Exposure in Protective Gear Toxic Exposure
7.4 Dating App Sexual Assault Facilitation Tech Liability
7.3 ChatGPT-Induced Psychotic Episodes AI / Emerging Tech

Runs Monday, Wednesday, Friday

Fully automated. Reports appear in the shared Drive by morning.

Mon
Tue
Wed
Thu
Fri
Sources: FDA, CPSC, PubMed, ProPublica, The Markup, 404 Media, Ars Technica, EFF
Output: Research memos, landing pages (HTML + PDF), source lists, competitive analysis
Delivery: Shared Google Drive + Tracker Spreadsheet with feedback loop