We Believe The Justice System Deserves Better.
Our mission is to restore clarity & balance to a justice system strained by inefficiency & burnout — so fairness never slips through the cracks.

01. The justice system is overwhelmed.
Legal teams do extraordinary work under immense pressure. But with endless discovery spread across countless files, body cam footage, interviews, and reports, finding key facts is harder than ever — slowing progress and delaying justice.
02. AI can help give every client a fair shot.
Technology should level the playing field — not tilt it. By surfacing key facts faster and removing tedious work, AI empowers lawyers to focus on what matters most — delivering better outcomes, faster justice, and stronger representation for every client.
03. Legal work demands AI you can trust.
Accuracy, transparency, and security are non-negotiable. Every Rev result traces back to its source — verifiable, never fabricated. With strict data privacy and human oversight, legal teams can rely on technology that protects confidentiality and upholds their duty to clients.
Our proprietary speech recognition technology is unmatched in transcribing complex legal terminology and challenging audio. For the most critical cases, optional human review ensures transcripts reach 99%+ accuracy.
Unlike traditional LLMs, Rev’s citations-first AI guarantees every output can be verified against original evidence. Combined with strict confidentiality protocols that never train third-party models on customer data, Rev transforms scattered audio, video, and documents into a single, trustworthy platform for case analysis.
Since 2010, Rev has been trusted by journalists and researchers to surface essential details from complex stories. That same foundation of accuracy and integrity now powers our work within the justice system — where the stakes are higher than ever.
We don’t just preserve every word in a case — we surface the details that can mean the difference between fairness and injustice, freedom, and incarceration.
Our Team














