Tamper-evident chain of custody
Every document, email, and exhibit receives an immutable cryptographic content hash upon ingestion, ensuring timeline entries and extracted citations map back to original source records.
LEGAL TECH / EVIDENTIARY PIPELINES
Deterministic evidence trails. Verifiable chronology.
A privacy-first evidence pipeline and case-pack compiler: ingest multi-source records, establish cryptographic provenance, and extract chronological event threads without third-party data leakage.
ThreadCase
In developmentActive development · internal testing; legal document analysis without external model leakage.
THE PRODUCT
What it solves.
Legal and regulatory audits drown in disorganized, multi-format records. Standard generative AI tools hallucinate details, misquote sources, and expose confidential case files to external model training.
THE ENGINEERING
How it works.
ThreadCase pairs deterministic document parsing with local and edge-isolated AI workers. Ingested files receive cryptographic content hashes (SHA-256) for tamper-evident chain of custody. Chronological timelines and quote citations map directly to source page and byte offsets, generating auditable case packs that withstand forensic scrutiny.
CLOUDFLARE & PRODUCT ARCHITECTURE
Inside the system.
Zero-leakage edge & local processing
Designed for confidential materials. Sensitive documents never leave the local environment or authorized zero-retention edge workers for model training.
Traceable case pack generation
Case files are compiled into structured, indexed bundles with clickable citations linked directly to underlying evidentiary pages and byte coordinates.