David Lawrence was a Harvard Law student when an on-campus shooting involving a police officer triggered intense debate over police conduct. That incident led him to a stark realization: many policing errors stem from officers lacking instant access to department rules. Three years later, his startup Blue Voice is emerging from stealth with $6 million in funding to address that gap.
Lawrence dropped out of law school to build Blue Voice with co-founders Amit Patankar, a Harvard MBA and former Google engineer, and Michael Gropman, a retired Boston police deputy chief. The Boston-based startup provides real-time, department-specific policy guidance to officers in the field. According to the company, 225 county agencies across 25 states now use the tool daily, and it answers a question every minute.
Also read: Sony Music, Warner Chappell sue Anthropic, alleging ‘brazen campaign’ of copyright theft
An AI trained on the rulebook, not the open web
Lawrence told TechCrunch that officers often make decisions “from memory or best guess, based on thousands of pages of law, policy, municipal ordinances, and state laws that they’ve internalized and keep in their head.” Before Blue Voice, an officer who couldn’t recall a specific protocol—like the exact seventh step at a crime scene—had limited options: flip through a 15,000-page manual, wake up a supervisor, or search generic tools like Google or ChatGPT, which lack police-specific training.
The problem was twofold: traditional methods were too slow, and consumer AI models delivered incorrect answers up to 30% of the time, according to Lawrence. Blue Voice aims to solve this by training on department-specific laws, local ordinances, and protocols that general-purpose AI tools can’t access on the public internet. The platform also provides officers with instant access to detailed school maps during active-shooter emergencies.
Also read: Meta India VP Sandhya Devanathan Departs for OpenAI Amid Regulatory Pressure
Rather than dictating actions, the tool points officers directly to original regulations, leaving the final decision to them. “When an officer makes a decision, they do so from memory or best guess,” Lawrence said, emphasizing that Blue Voice provides the laws, not the judgment.
Real-world results and a growing customer base
Over the last year, Blue Voice grew its customer base elevenfold, Lawrence said, because police departments see concrete results, including reduced crime and fewer operational controversies. He cited a recent case where a rookie officer used Blue Voice to confirm legal grounds for intervening in a suspected child enticement, helping prevent a kidnapping. In another instance, the tool reminded a department chief that an officer couldn’t return to duty after a shooting without a third-party mental health evaluation.
Blue Voice competes with PE-backed Lexipol, which has also developed functionality to help detectives solve cold cases. The startup’s emergence comes at a time when police use of AI—such as Flock Safety’s license plate surveillance systems—draws growing criticism. Lawrence hopes Blue Voice demonstrates that properly deployed AI can deliver public safety benefits without sacrificing civil rights.
Lawrence, who previously worked for Connecticut Governor Ned Lamont, said he has no regrets about leaving law school. “This is the best thing I could do with my career and the most impact I could potentially make,” he said.
As the debate over AI in policing intensifies, Blue Voice’s approach—grounding AI in verified regulations rather than open-ended generation—could offer a model for responsible deployment. The $6 million funding round, led by SignalFire and Las Olas VC, positions the startup to expand beyond its current 225 agencies, though questions remain about how the technology will scale and whether it can maintain trust among both officers and the communities they serve.
