Verbatim://

Every word in court is captured. Then lost.

We're unlocking it – and turning it into the backbone for law, intelligence, and AI.

• • Hundreds of millions of transcript pages exist.
• • No database. No search. No access.
• • 20,000 stenographers control supply.
• • First copy costs thousands. After that, they sit unused.
• • LexisNexis hasn’t solved it. Thomson Reuters hasn’t either.
• • The richest dataset in law – and for legal AI – sits untapped.

We solve the cold start and own the supply.

• Lock the supply: exclusive rev-share deals with reporters.

• Fix the cold start: pooled buyers, exclusivity windows, first-buyer rebates.

• Build the corpus: every transcript ingested compounds into the dataset.

• Monetize twice: resale today. AI licensing tomorrow.

AI labs need proprietary legal data.

Courts are moving to recordings - easier to ingest.

Legacy players can't solve the cold start.

We can.

Roadmap:

• Phase 1 Lock supply (stenographers) + start corpus ingestion

• Phase 2 Structure + label data for AI training

• Phase 3 AI licensing + insights (judges, lawyers, corporate intel)

• AI-first firms: Harvey, Casetext, Bloomberg AI.

• AI labs: OpenAI, Anthropic, Scale.

• Legal publishers: Westlaw, Lexis.

• Funds: litigation financiers, hedge funds trading on outcomes.

• Law firms + journalists: appeals, strategy, ground truth.

Every day, testimony is created and lost.

We're capturing it – and turning it into the dataset that will train legal AI.

We're operators, founders, and engineers who know how to scale from zero to tens of millions. This isn't theory – we've done it.