AI jurors who think, remember, feel, and deliberate - calibrated to your venue, exposed to local news, verifiable against Census data.
"52-year-old white male homeowner" - a demographic label, not a mind.
No memory between prompts. Can't track opinion shifts across deliberation.
Your privileged case data sent to OpenAI, Anthropic, or Google servers.
Gerald Kowalski - who read about local truck accidents this morning and whose brother's insurance claim was denied last year.
13-layer architecture with short-term memory, long-term memory, emotional drift, and private inner monologue.
Your data never leaves your infrastructure. Zero external API calls.
Real jurors don't exist in a vacuum. They've seen local headlines, heard community conversations, experienced regional events. So do ours.
Your AI jurors have seen coverage of I-95 accidents. They've noticed the billboard lawyer ads. That context shapes how they hear your evidence.
Jurors have absorbed Chicago's healthcare debates, insurance frustrations, and community sentiment about hospitals.
We don't invent demographics. We import them from the U.S. Census Bureau. Your synthetic population is statistically identical to the real one.
Age, income, education, race, occupation, household type - all matched to Census.gov data for your trial venue.
Before jury selection, every synthetic juror has "lived" in your venue for the past 30 days - consuming local news, scrolling social media, and talking to friends.
Competitors model jurors as static profiles. We model jurors as citizens who have lived through the same information environment as your real jury pool.
Each juror has demographics, personality, beliefs, life experiences, and 30 days of context - matched to actual Census data for your venue.
Showing 4 of 48 jurors - Full panel available in platform
"I've seen injuries like this in the ER. People don't understand how much a back injury affects your whole life. The defense kept saying 'she can still walk' like that means she's fine. She's 34 years old and she'll never run with her kids again. That's worth more than medical bills."
Result: Maria pushed for $1.4M. Final jury award: $925K (she compromised down from her anchor).
After simulation, you can interrogate any juror. Understand their reasoning. Find out what argument would have changed their mind.
If Maria makes it onto your jury, the comparative fault argument won't work on her. You need a different angle - maybe focus on treatment gaps or pre-existing conditions instead.
Better yet: strike her and avoid the problem entirely.
When you receive actual voir dire questionnaires, enter the real juror data into the system. Same AI analysis. Same strike recommendations. Real jurors, real intelligence.
Litigation files contain privileged communications and work product. They stay on your infrastructure.
No external API calls. No cloud dependencies. The system runs entirely within your firewall.
Dedicated servers in your data center. You own the hardware. Full control.
Attorney-client privilege maintained. Work product stays work product.
Other AI tools send your data to OpenAI, Anthropic, or Google. That means your privileged litigation strategy is sitting on someone else's servers. With Synthros, your data never leaves your building. For many organizations, this isn't just a feature - it's a compliance requirement.
Let's run your case through the system. See what we would have told you before your last trial.
Send us a case - past or current. We run full simulation and deliver results.
Compare predictions to outcomes. Build confidence in the system with real results.
Roll out to your team. Every litigated file gets simulation.