Structure your evidence by date, source, and relevance. Tag documents, build connections between events, and create a searchable archive of everything you have.

You have a box of documents, emails, and screenshots. This turns it into a case.

Construct chronological timelines from your evidence. Visualize gaps, identify patterns, and produce timeline exhibits for counsel review.

When the other side says that never happened — you show them when it happened, in order, with sources.

Analyze PDF metadata to verify document authenticity. Identify creation software, authorship, modification history, and chain-of-custody gaps.

This is how I proved that seven lab reports were created on a desktop computer — not in a laboratory.

AI-powered legal research that breaks questions into tasks, verifies each independently, and traces every claim to a source. Not a chatbot — a system that checks its own work.

Find the case law, the statute, the procedural rule — with citations you can actually verify.

Templates for motions, briefs, complaints, and appeals — built from real filings that survived real courts. Structured frameworks you fill in with your facts.

You know what happened. This helps you say it in the language the court expects.

Analyze communication patterns across text messages and emails to identify coordinated denial, manipulation, and gaslighting. Produces exhibit-formatted tables with timestamps for counsel review.

When they gaslight you — this documents the pattern so a judge can see it.

Track every discovery request you send, every response you receive, every deadline. When they obstruct — you have the dated record of every request and every refusal.

They said you never asked for that. You show the judge the dated request and their silence.

Scan entire directories of documents for metadata anomalies — wrong authors, consumer software, modification timestamps, missing digital signatures.

One command. Every document checked. Every anomaly flagged.