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375 AI lawsuits trapped in a spreadsheet. We turned them into a living knowledge graph - queryable, relational, and ready for the scale AI litigation demands.
They sued the AI. We mapped it. Spin the globe, pick your language (lawyer or human), ask questions out loud. 307 cases. 34 states. One file.
Real jobs. Real skills. No guesswork.
AILens brings clarity to AI harm research. A reproducible, fully documented framework built for researchers, regulators, and analysts.
Interactive dataset explorer, downloader, and analysis of AI Incident Database
AI lawsuits are exploding across America — but the data is buried where no one can see it. We built TrusLex to change that.
Modernizing AI litigation research with intelligent REST APIs and natural language search
Razors
We turn 1,360+ documented AI failures into instant insight — live data fetch, 12 charts, a no-code Gradio dashboard, and a chatbot. Reproducible. Accessible. Actionable.
Our AI Litigation Map turns complex legal data into clear, interactive insights. Filter by year, claim type, and case status. Explore maps, timelines, trends, and get instant answers via AI chat.
The pulse of AI litigation - where it’s surging and what’s changing.
We transformed raw job postings into a workforce intelligence platform that reveals regional skill strengths, gaps, and investment priorities through data-driven specialization and clustering.
OpenDAIL lets you visualize cases from the DAIL database using plain English. Ask a question, get instant charts, insights and more
DAIL Navigator turns GWU's AI litigation database into a live, searchable interface, filter 500+ court cases by issue, jurisdiction, or algorithm in seconds. No paywall. No black box
GWU's DAIL Forge maps every AI lawsuit in the US — searchable, versioned, fully audited. Every edit is sourced. Every change is permanent. Research-grade litigation data, built for accountability.
A production-ready PostgreSQL and FastAPI architecture that modernizes the Database of AI Litigation with normalization, referential integrity, and programmatic access.
a transparent, reproducible incident analytics system that works for both technical and non-technical users, and importantly, does not depend on AI-generated conclusions.
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