US Class Action & Litigation Asset Infrastructure

The Autonomous Intelligence & Financial Layer for US Lawsuits

AI Lawsuit orchestrates 9 autonomous legal agents to discover mass torts, synthesize eDiscovery evidence, and transform legal claims into fractional financial assets — while keeping licensed US attorneys strictly in command.

Strict Human-in-the-Loop Architecture • ABA Model Rule 5.4 & UPL Compliant

Live Swarm Telemetry

9 Agent Daemons Active across 50 Federal Circuits

SYS: ONLINE
Discovery-AgentSCANNING

Ingested 1,420 dockets from SDNY & NDCA. Correlating anti-steering patterns...

Analysis-AgentANALYSIS

Cross-referenced Sherman Act § 2 precedents. Claim viability score: 92.4%.

Intake-AgentINTAKE

Class aggregate: 3,840 verified consumer submissions queued for damage estimation.

Lawyer-ReviewGATEWAY

Checkpoint: Complaint drafting ready for partner attorney sign-off in docket #24-cv-891.

Settlement-AgentVALUATION

Damages model updated: bracket projection recalibrated to $42.5M gross pool.

Active Pipeline
$142.8M
Dockets Parsed
84,920
Attorney Reviews
100% PASS
$142M+Litigation Asset Pipeline
9Autonomous AI Agents
94.8%Intake Labor Reduction
100%Licensed Attorney Verified
PARADIGM SHIFT

Why US Litigation is Broken — And How Autonomous AI Fixes It

Traditional mass tort litigation is crippled by manual docket reviews, exorbitant hourly rates, and fragmented claimant gathering. AI Lawsuit rebuilds the legal value chain from the ground up.

Legacy Litigation Process

High friction, opaque, manual overhead

  • Months to Identify Mass Torts: Law firms rely on delayed word-of-mouth or expensive ad campaigns while corporate misconduct goes undetected.
  • $800+/hr Associate Billing: Junior lawyers spend hundreds of billable hours manually parsing discovery PDFs and assembling boilerplate pleadings.
  • Disorganized Claim Collection: Fragmented intake via manual phone calls leads to high drop-offs and unvalidated evidence.
  • Opaque Financing Structures: Funding is restricted to opaque private hedge funds with high fees and lengthy due diligence cycles.
Average timeline to initial filing: 9–18 Months

AI Lawsuit ProtocolNEXT-GEN

Autonomous intelligence, human verified, asset backed

  • Real-Time Pattern Discovery: AI scans PACER, federal regulatory dockets, and consumer sentiment across social platforms to spot emerging class actions instantly.
  • Autonomous Multi-Agent Synthesis: 9 coordinated AI agents generate preliminary complaints, interrogatories, and damages models in minutes.
  • Human-in-the-Loop Ethics: Licensed US attorneys retain 100% control over strategy, filings, and legal advice, fully respecting state bar regulations.
  • Fractional Litigation Securitization: Economic interests are packaged into transparent fractional assets for qualified capital partners.
Average timeline to initial filing: 7–14 Days
AUTONOMOUS SWARM ARCHITECTURE

9 Specialized AI Agents Working in Continuous Harmony

From discovering undetected corporate violations across public channels to drafting court pleadings and simulating settlements, each agent executes specialized litigation tasks with mathematical precision.

Select an agent to inspect:

Case Discovery Agent

Active

Surveillance & Ingestion

Daemon 01

Continuously scrapes and parses US court records, government enforcement actions (CFPB, FTC, FDA), news, and public consumer forums (Reddit, X, TikTok, Threads).

Ingestion & Data Feeds
  • PACER API & Court Dockets
  • Consumer Complaint Databases
  • Social Media Viral Trends
  • Federal Regulatory Feeds
Generated Outputs
  • Case Opportunity Dossier
  • Claimant Sentiment Metric
  • Initial Class Viability Score
Core Autonomous Capabilities
  • Detects emerging statistical spikes in consumer harm
  • Correlates cross-state injury patterns into class actions
  • Calculates preliminary claimant class pool size
Human-in-the-Loop Ethical Gatekeeper

Lawyer Review checks jurisdictional standing and statute of limitations.

LITIGATION AS AN ALTERNATIVE ASSET CLASS

Securitizing Lawsuits into Fractional Economic Interests

Legal outcomes represent an uncorrelated financial asset with asymmetric upside. By combining AI risk valuation with fractional economic interest structures, we democratize litigation funding for investors while shielding plaintiffs from upfront legal costs.

Uncorrelated Alpha

Court decisions and tort recoveries are decoupled from interest rate shifts, equity bear markets, or macroeconomic shocks — providing reliable portfolio resilience.

Fractional Syndication

Economic proceeds of vetted claims can be divided into fractional units (e.g., 10%, 15%, 25%), allowing institutional capital to build diversified litigation portfolios.

Non-Recourse Protection

Claimants risk zero capital. If a lawsuit is unsuccessful, investors absorb the case costs with no personal liability or recourse against injured plaintiffs.

Interactive Valuation Simulator

Estimate Case Valuation & Investor Yield

Adjust target claim size, statistical merits, and court timeline to see how proceeds are divided under an institutional litigation funding agreement.

$10,000,000
$1,000,000$25,000,000$50,000,000
80%
50% (High Risk)75% (Strong Claim)95% (Near Certain Settlement)
18 Months
6 Months (Early ADR)18 Months (Standard)36 Months (Trial/Appeal)
Projected Financial OutcomeExpected: $8,000,000
Estimated Investor ROI
100.0%
Net multiple: 2.00x
Projected Annual IRR
66.7%
Over 18 months
Plaintiff Net Recovery (60%)$4,800,000
Attorney Contingency Fee (25%)$2,000,000
Investor Economic Interest (15%)$1,200,000
Estimated Capital Deployed$600,000
Simulations based on GAO litigation finance benchmarksView In Dashboard
LIVE LITIGATION PIPELINE

Institutional Case Pipeline

Real-time snapshot of active mass torts and consumer class actions currently being processed through our autonomous agent swarm and vetted by partner law firms.

View All Cases in Admin
Antitrust & CompetitionDiscovery & Depositions

E-Commerce Monopolistic Price-Steering Class Action

U.S. District Court (S.D.N.Y.)

Target Recovery
$85,000,000
Class Size
142,000 Claimants
Autonomous Synthesis
Analyzed 1.8M merchant invoices; detected algorithmic pricing inflation exceeding 18.2%.
Litigation Progress65%
AI Merits Probability: 88%Inspect Case
Data Privacy (BIPA)Class Certification Granted

National Biometric Privacy & AI Scraping Tort

U.S. District Court (N.D. Ill.)

Target Recovery
$32,500,000
Class Size
78,500 Claimants
Autonomous Synthesis
Identified unconsented facial geometry harvesting across 14 commercial consumer apps.
Litigation Progress80%
AI Merits Probability: 92%Inspect Case
Mass Tort & Medical DeviceBellwether Trial Preparation

Defective Spinal Implant Metallurgy & Product Liability

Judicial Panel on Multidistrict Litigation (MDL #3102)

Target Recovery
$48,000,000
Class Size
1,150 Injured Patients
Autonomous Synthesis
Synthesized 2,400 medical records; extracted micro-fracture failure indicators across 4 batches.
Litigation Progress85%
AI Merits Probability: 84%Inspect Case
ENTERPRISE ENGINEERING

Built on Cutting-Edge Legal-Tech Infrastructure

A distributed, low-latency stack combining deterministic legal state machines, multimodal document vision, and cryptographic privilege safeguards.

PACER & Federal Docket Engine

Real-time automated polling of CM/ECF federal court dockets, government regulatory enforcement filings, and public records.

Vector Embeddings & Precedent RAG

Millions of legal opinions, circuit court decisions, and state statutes indexed in high-dimensional vector spaces for instant semantic search.

Autonomous Multi-Agent Orchestrator

Deterministic state machines governing the 9 AI agents with strict transition criteria, latency telemetry, and human review gates.

Zero-Trust Privilege Vault

End-to-end cryptographic isolation safeguarding attorney-client communications, confidential discovery documents, and claimant PII.

Multimodal Evidence OCR & Vision

Deep document extraction capable of parsing unstructured PDFs, handwritten medical charts, invoice ledgers, and technical logs.

Monte Carlo Valuation Models

Quantitative financial algorithms simulating damage distribution brackets, settlement curves, and litigation IRR outcomes.

FREQUENTLY ASKED QUESTIONS

Legal, Technical & Financial Clarity

Clear answers to how our autonomous agents, ethical guardrails, and litigation finance frameworks operate.

No. AI Lawsuit is strictly a technology, research, and litigation finance infrastructure platform. All legal advice, strategy, client representation, and court filings are performed exclusively by licensed US attorneys. The platform features a mandatory Lawyer Review Agent that prevents automated actions at all critical legal judgment gates.
EXPERIENCE THE AUTONOMOUS PLATFORM

Ready to Accelerate Mass Tort Discovery & Litigation Finance?

Explore the live control center to see our 9 autonomous agents, inspect the active $142M+ lawsuit pipeline, and review litigation asset valuation models.

Full compliance with ABA Model Rules • Institutional Non-Recourse Standards