Verbatim hearing transcripts and first-draft memos in your firm's structure and voice. Every claim linked to the exact moment in the source video.
Every other AI hearing tool on the market makes the same three mistakes. They're why your team still doesn't trust the output.
When it matters who said what — and for your clients, it always does — a transcript that guesses is worse than useless.
Generic transcription tools weren't built for policy. They miss the jargon every hearing is full of.
Your analysts are paid for judgment, not proofreading. Every hour spent cleaning up is an hour not spent on the memo.
A proprietary machine-learning pipeline fuses multiple signals to identify every speaker at 99% accuracy — including during the cross-talk, interruptions, and talk-overs that define a real Congressional hearing.

Every claim in your memo draft links back to the exact moment in the source video. A second verification pass underlines anything unsupported in red. Your analysts verify by hovering, not by scrubbing through 90 minutes of footage.

Upload a handful of your firm's existing hearing memos. HillGenius picks up your structure, tone, and language — then drafts in that voice.
The first draft doesn't read like ChatGPT. It reads like your associates wrote it. Your analysts aren't rewriting the whole memo to match the house style — they're sharpening the arguments and adding the judgment only they can provide.
Other AI hearing tools hand you a summary. HillGenius hands you the memo draft your firm would have written.
Paste a committee URL or pick from our live calendar of upcoming hearings. HillGenius handles the rest — no setup, no configuration.
Accurate speakers, clean formatting, and a memo drafted in your firm's voice — modeled on example memos you upload. Ready before your fellows would have finished their morning notes.
Hover any claim to jump to the moment in the video it came from. Read, edit, and finish the memo your firm ships to clients — with every detail defensible.

I'm a former Hill staffer turned machine-learning engineer. I worked in healthcare policy on the Hill, then spent years pushing the state of the art in machine learning on mission-critical national security problems as a contractor in the U.S. defense sector. Almost nobody has both halves — the Hill instincts to know what government affairs teams actually need, and the advanced-ML experience to build something that clears their bar for accuracy.
HillGenius is the tool I wish I'd had. We built accuracy first, not because it's marketable — but because everything else downstream breaks without it.
Used by policy teams at two AmLaw 200 firms and two of the top 20 government affairs firms by 2025 lobbying revenue.
“It’s probably like a three-to-five-hour difference per hearing. This is truly saving me at least five hours a day.”
— GOVERNMENT AFFAIRS ASSOCIATE, NATIONAL LAW FIRM
Open an example transcript from a real Congressional hearing — or book a 30-minute demo and we'll walk through one of yours.