WhyHow AI

WhyHow AI is a platform combining knowledge graph infrastructure and legal logic to surface, validate, and manage litigation leads for plaintiff-side practice. It processes large volumes of legal and regulatory data through “expert reasoning maps” (structured graphs encoding legal logic) to filter, score, and present potential case opportunities.

Key Features and Functions of WhyHouse AI include:

Schema & Graph Construction
The platform allows users to define and manage schemas (entity types, relationships, and attributes), and create knowledge graphs tailored to legal domains.

Document & Data Ingestion
Users can upload documents or datasets; the system supports extraction of entities, relationships, and triples for integration into the graph. 

Expert Reasoning Maps / Legal Logic
WhyHow uses reasoning maps (i.e. structured graph-based logic) that mimic how litigators evaluate case viability, applying rules and heuristics to filter and rank leads.

Case Lead Scoring & Prioritization
The system ranks and triages potential litigation leads by applying the legal logic and providing audit trails from decision back to source data.

Audit Trails & Explainability
Every inference or action in the system is traceable back to source documents or logic nodes, supporting defensibility and transparency.

SDK & Developer Tools
WhyHow provides a developer SDK / API to build custom workflows or integrate graph operations into other systems.

Open-Source Schema Library
WhyHow publishes an open-source library of legal (and other domain) graph schemas, allowing users to reuse or extend existing models