CLJC Current AI Initiatives and Programs
AI and the Administration of Justice
CLJC identifies and implements suitable AI systems specifically designed to support the investigation of Racial Justice Act cases. Our end goal is to check how AI technology can assist to conduct comprehensive research into crucial contextual background for these complex cases and help to identify patterns of racial bias and build stronger advocacy arguments.
CLJC also supports Public Defenders to help navigate the rapidly evolving landscape of new technologies in criminal defense. To this end, CLJC organizes specialized capacity building and webinars that facilitate information sharing among public defenders nationwide, strengthening their collective capabilities to effectively utilize AI tools while understanding their limitations and ethical considerations.
Core Program Components:
Technology Mapping and Assessment – Comprehensive documentation of AI tools currently available to defense attorneys, including detailed analysis of platforms like JusticeText for AI-powered transcription of audiovisual evidence, Reduct.Video for video evidence management, CoCounsel for legal research assistance, and LegalServer AI Suite for integrated case management
Training and Education Resources – Developing specialized curricula to help defenders understand AI capabilities, challenge AI-generated evidence in court, and navigate ethical considerations surrounding confidentiality, accuracy verification, and algorithmic bias
Access Equity Framework – Supporting sustainable funding models and shared technology platforms to ensure equal access to AI capabilities across prosecution and defense
Expert Networks and Support – Facilitating connections between public defenders and technical experts, while providing ongoing consultation services for AI tool implementation and validation
AI in Law Enforcement
Technology Assessment and Impact Evaluation
We provide direct technical expertise and research support to Police Accountability Departments, and other local agencies to ensure community oversight of police technology deployment decisions, and best practices in deployment of new surveillance technology. Our comprehensive mapping project employs mixed-methodology research to understand AI applications marketed to and deployed by law enforcement across the USA.
Scope of work:
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- Technology Assessment and Analysis: CLJC evaluates police technologies, including detailed analysis of Computer Voice Stress Analyzers (CVSA) and AI police report writing systems. This work provides the Police Accountability Department with evidence-based recommendations grounded in scientific research.
- Policy Development Support: CLJC ensures that technology proposals undergo proper risk-benefit analysis with appropriate community input. The Center’s research directly informs policy recommendations for informed decision-making.
- Oversight Framework Implementation: CLJC’s work supports the Police Accountability Departments’ to provide oversight of police technology adoption.
- Technical Validation and Monitoring: The Center recommends independent validation of AI system performance and bias mitigation capabilities, supporting the Police Accountability Department’s role in ensuring ongoing accountability through continuous monitoring and annual reporting requirements.
- Mapping the use of new tech and AI by Law Enforcement
- Law Enforcement Capacity Building: CLJC is working together with other partners in the field to organize webinars and other capacity building opportunities to discuss the benefits and challenges in the use of AI and other new technologies in the administration of justice.
CLJC has launched a comprehensive mapping project to understand AI applications and AI-related services marketed to and deployed by Law Enforcement across the USA. This initiative employs a mixed-methodology approach including desk research and stakeholder interviews to identify major use cases, trends, and companies serving law enforcement. The project goes beyond technical documentation to provide crucial contextual understanding of how AI applications are marketed to police, public and political reactions to deployments, and the evolving landscape of relevant policy, legislation, and litigation surrounding their use. Rather than attempting an exhaustive catalog, the research focuses on identifying the most significant patterns and players shaping AI adoption in policing.