U.S. startup Blue Voice has emerged from stealth after raising $6 million in a round led by SignalFire and Las Olas VC to develop an artificial intelligence platform that provides police officers with immediate guidance based on the laws and procedures of each local department. The company says the tool is used daily by 225 county-level agencies across 25 U.S. states.
Blue Voice was founded by David Lawrence, who was studying law at Harvard University before leaving his studies after controversy sparked by a shooting on campus involving a police officer. He was joined by Amit Patankar, a Harvard business graduate who previously worked as an engineer at Google, and Michael Gropman, a retired deputy police chief of the Boston Police Department.
An Assistant Based on Each Department’s Rules
The platform’s core idea is to address the problem of accessing information during field situations. According to Lawrence, officers often make decisions based on memory or guesswork after absorbing thousands of pages of laws, policies, municipal regulations, and state statutes. When an officer cannot remember a specific procedure, they may need to review a manual that can run to 15,000 pages, call a supervisor late at night, or use general tools such as Google and ChatGPT.
Blue Voice says its system is trained on the laws specific to each department, local regulations, and internal protocols and guidelines that are not typically available on the public internet. The platform also allows officers to access detailed maps of schools from their phones during active-shooter situations. The company says the system answers approximately one question every minute and directs users to the original texts and regulations instead of providing a separate answer without a reference.
What Changes in Practice?
According to the company’s description, the system is not intended to decide on behalf of the officer or dictate the procedure; rather, it presents the relevant rules, while the final decision remains with the officer and their field experience. The company gives as an example a situation in which, according to Lawrence, a rookie officer used the application to verify whether there was a legal basis for intervening after seeing a man pressure a young girl to enter his vehicle. According to the company’s account, the system confirmed that the legal criteria for the crime of child luring applied, allowing the officer to intervene immediately.
In another incident, the platform reminded a police department chief that he could not return an officer to duty after a shooting before obtaining a mental-health evaluation from a third party. Blue Voice has also developed features to help investigators solve cold cases and competes in this area with private-equity-backed company Lexipol.
Why Does This News Matter?
The funding represents an expansion of artificial intelligence use in a sensitive field that involves not the production of general text, but the translation of local legal and administrative rules into information that can be used during decisions affecting civil liberties and public safety. Blue Voice says its customer base grew 11-fold over the past year and that police departments saw tangible results such as lower crime and fewer operational disputes, but these results were reported by Lawrence and were not supported in the article by independent figures or an evaluation methodology.
The company comes at a time when the use of artificial intelligence in policing is facing growing criticism, including over vehicle license-plate monitoring systems operated by Flock Safety. Therefore, Blue Voice’s significance is not limited to the speed of access to regulations; it also extends to open questions about the system’s accuracy, how local rules are updated, how its references are audited, and who bears responsibility if the answer is incorrect. The platform’s reliance on original sources is an important step toward limiting unsupported answers, but it does not eliminate the need for independent human oversight, particularly because the tool is used in highly sensitive field decisions.