A BILL to amend and reenact §§ 9.1-101, as it is currently effective and as it shall become effective, 9.1-102, and 9.1-1110 of the Code of Virginia and to amend the Code of Virginia by adding in Article 1 of Chapter 17 of Title 15.2 a section numbered 15.2-1723.3 and by adding a section numbered 23.1-815.2, relating to law-enforcement agencies; use of certain technologies and interrogation practices; forensic laboratory accreditation.
HB1257 is a broad law-enforcement administration bill that updates Virginia’s criminal justice definitions and expands the Department of Criminal Justice Services’ authority to set policy, training, and standards. The bill adds definitions for generative artificial intelligence systems and machine learning systems, and it directs the Department to develop model policies and training standards for law-enforcement use of those technologies, audiovisual surveillance tools such as license plate readers, and custodial and noncustodial interrogation practices. It also requires model policies on body-worn cameras, overdose response notifications, security for nonprofit institutions at risk of hate crimes, and law-enforcement discretion in arrest decisions during mental-health crises.
The bill also revises and expands the list of topics for mandatory law-enforcement training and recertification, including de-escalation, use of force, crisis intervention, bias and cultural competency, autism and intellectual/developmental disability communication, human trafficking, missing persons, naloxone use, and school resource officer and school security officer training. It creates a framework for statewide professional standards of conduct and decertification procedures, and it requires agencies to adopt policies consistent with new model policies by specified dates. Existing officers would have extended deadlines to complete certain new training requirements.
In addition, HB1257 adds new accreditation-related restrictions for forensic laboratory equipment used by local law-enforcement agencies and campus police departments at public institutions of higher education. Under the bill, those agencies could not purchase forensic testing equipment, breath-test devices, or presumptive drug/alcohol testing devices unless approved by the Department of Forensic Science or the Forensic Science Board. The bill also makes related changes to the Forensic Science Board’s authority over regulations and oversight of the Department of Forensic Science.
The bill’s impact on state law would be substantial, because it would impose new statewide standards on how police agencies use emerging technologies, conduct interrogations, and train officers, while also tightening procurement rules for forensic and breath-testing equipment. It would affect local police departments, sheriff’s offices, campus police departments, school safety personnel, and the Department of Criminal Justice Services, with implementation phased in over several years. It also creates new statutory sections governing crime-lab accreditation for local law-enforcement agencies and campus police departments.
The available legislative history suggests the bill did not advance in the committee process and was continued to the next session by voice vote. With no recorded floor votes or committee transcript excerpts provided, there is no detailed public record here of debate, but the structure of the bill indicates a policy focus on police accountability, technology governance, and standardized training. Likely points of contention include the scope of state control over local law-enforcement practices, the mandated use of model policies for AI and surveillance, interrogation limits, and the added compliance burden on agencies and institutions that operate forensic or campus police functions.
HB1257 would amend §§ 9.1-101, 9.1-102, and 9.1-1110 of the Code of Virginia and add new §§ 15.2-1723.3 and 23.1-815.2. It would expand the Department of Criminal Justice Services’ rulemaking, training, and policy-setting responsibilities; require statewide model policies for AI, surveillance, and interrogations; and impose new training deadlines for law-enforcement officers. It would also bar local law-enforcement agencies and public-campus police departments from purchasing certain forensic or breath-testing equipment without approval from the Department of Forensic Science or the Forensic Science Board, thereby adding a new layer of state oversight over forensic technology procurement.
The bill appears to have been received as a major reform and standards-setting measure for law enforcement, with an emphasis on modern technology, civil liberties, and officer training. However, its continuation to the next session by voice vote suggests it did not have enough consensus to move forward immediately. The overall tone implied by the bill text is policy-driven and regulatory rather than punitive, but the breadth of the mandates likely made it a complex and potentially divisive proposal among stakeholders.
The main areas of likely contention are the new state-level controls over local police use of generative AI, machine learning, audiovisual surveillance, and interrogation tactics, as well as the requirement that agencies adopt model policies and complete extensive training. Local agencies may view the bill as burdensome or restrictive, while supporters would likely frame it as necessary oversight and standardization. Additional friction may arise from the bill’s rules on forensic equipment approval, which could affect local law-enforcement operations and campus police departments, and from provisions addressing bias, use of force, and mental-health-related policing practices.