HOW TECHNOLOGY IS TRANSFORMING CRIME PREVENTION AND CRIMINAL JUSTICE By Hashimu Adamu, and Grace Gimbo
Crime remains a widespread global challenge impacting lives, economies, and societies. However, the digital age has ushered unique opportunities and challenges for crime prevention and justice systems worldwide. While criminals are increasingly exploiting technology to commit offenses that sometimes transcend geographical boundaries, law enforcement and justice institutions are equally leveraging the same technological advancements to counter these threats.
Innovative technologies are revolutionising criminal justice, enhancing efficiency, and reshaping legal and law enforcement systems. The justice system is now evolving to meet contemporary demands, including AI-driven legal research tools, smart contracts, digital case management systems, and even virtual courtrooms. Similarly, predictive policing, real-time surveillance, and emergency response technologies are also shifting crime prevention strategies from reactive to proactive.
However, despite the transformative impact of technology, challenges such as cybersecurity threats, ethical considerations, and algorithmic bias emerged as concerns that are shaping the discourse on its role in criminal justice. This article explores some of the various ways technology is revolutionising crime prevention and the justice system while addressing the risks and policy considerations needed to maximise its benefits.
Criminal Justice System
Traditionally, legal practitioners spent long hours conducting research, drafting documents, and managing legal correspondence. These time-consuming processes are likely prone to human error and may affect productivity. Today, AI-powered platforms like LawPavilion, ROSS Intelligence, and LexisNexis streamline legal research, enabling practitioners to access case laws, statutes, and legal precedents with unprecedented speed and precision.
LawPavilion for example, offers comprehensive legal research solutions tailored to the Nigerian legal system, enhancing the skills and technical expertise of legal professionals. Similarly, ROSS Intelligence and LexisNexis integrate vast databases with advanced analytics that utilise Artificial Intelligence (AI) to provide precise answers to complex legal queries, reducing research time and facilitating informed decision-making. In addition to legal research and productivity, technology has modernised the case management and adjudication processes. Rwanda’s Integrated Electronic Case Management System (IECMS) presents a good example of this transformation. As a unified platform connecting institutions in the Justice, Reconciliation, Law, and Order Sector, IECMS automates judicial processes and streamlines case management. The IECMS was reported to have resulted in the reduction of case processing time from 7 months to 3.4 months, and a decrease in case backlog from 42% to 23%.
The impact of technology in the criminal justice system has gone beyond enhancing productivity and efficiency, it has become a critical pillar in safeguarding the continuity of administering justice, even in the most challenging times. The COVID-19 pandemic, for instance, posed a significant threat to the functioning of courts globally, pushing legal systems to adapt swiftly to ensure that justice was not delayed or denied. In Nigeria, the Lagos State High Court, under the leadership of Chief Judge Justice Kazeem Alogba, conducted its first virtual hearing during the pandemic, successfully trying, convicting, and sentencing Olalekan Hameed for the murder of 76-year-old Mrs. Jolasun Okunsanya. This, among other virtual court hearings, which emerged as a response to pandemic-related restrictions, provided an essential solution for maintaining legal processes and preserving the integrity of the judicial system.
Even after the immediate crisis of the COVID-19 pandemic, virtual court hearings have become a lasting feature of legal systems worldwide, improving accessibility and efficiency. For instance, the District of Minnesota has established comprehensive guidelines for virtual proceedings, utilising platforms like Zoom to facilitate remote hearings. What began as a temporary measure has now become a cornerstone of judicial innovation, reflecting a broader transformation in the criminal justice system.
Crime Prevention
Technology has equally modified crime prevention strategies, shifting the focus from reaction to anticipation. Predictive policing, AI-driven surveillance, and data analytics now enable law enforcement to identify crime patterns, assess risks, and intervene even before incidents occur. In this new era, it will be right to say that fighting crime has gone beyond enforcement, it is now about precision, intelligence, and staying ahead to build safer societies.
Lindsey Chiswick, the Director of Performance, at Metropolitan Police was reported to have said: “…technology is helping us protect our communities from harm.’’ In 2024, the Metropolitan Police reported over 500 arrests using Live Facial Recognition Technology.
Emergency response systems, for example, integrate real-time communication, geolocation services, and data analytics to enable swift responses to emergencies, significantly reducing the likelihood of crimes escalating or reoccurring. For example, Nigeria’s NPF Rescue Me app empowers citizens to report emergencies instantly, providing law enforcement with precise location data for rapid intervention. Similarly, New South Wales, Australia, has implemented a live-stream video option for all triple-0 emergency calls. A system that allows callers to send live video feeds, GPS coordinates, and digital media to police providing real-time access to unfolding emergencies. The initiative has enhanced situational awareness and improved response effectiveness, leading to over 700 incidents being returned to emergency operators and helped police find the location of more than 100 “high-risk” missing persons during its trial phase.
Risks
While technology has reformed criminal justice and crime prevention, it also introduces great risks that can undermine its effectiveness and public trust. Chief among these risks is the vulnerability of technology to cyberattacks and system failures. Sophisticated hackers have repeatedly demonstrated their ability to infiltrate critical systems, as seen from the 2021 Colonial Pipeline ransomware attack, which disrupted essential infrastructure and highlighted alarming gaps in cybersecurity.
Emergency response systems are not immune to such threats; they rely on interconnected networks and real-time data sharing, making them potential targets for hacking or malicious manipulation. A breach in these systems could delay critical interventions, spread misinformation, or even paralyse the entire network, turning tools of safety into tools of chaos. These vulnerabilities emphasise the need for relentless investment in cybersecurity and fail-safe mechanisms to ensure technological systems remain resilient against evolving threats.
Equally concerning is the risk of bias and inequity embedded within the very algorithms that power these technologies. Artificial Intelligence (AI) and predictive analytics, increasingly employed in crime prevention and emergency response, depend on historical data that often mirrors societal inequalities. This reliance can lead to biased outcomes, disproportionately targeting marginalised communities and perpetuating systemic injustices.
In 2016, the American Civil Liberties Union (ACLU) and 16 other organisations issued a joint statement on predictive policing tools used by law enforcement in the United States, pointing to the technology’s racial biases, lack of transparency, and other deep flaws that lead to injustice, particularly for people of colour.
Eight years later, in 2024, Ashwini K.P., UN Special Rapporteur on contemporary forms of racism, racial discrimination, xenophobia and related intolerance raised concern over such algorithms. During her interactive dialogue for the launch of her new report at the Human Rights Council’s 56th session in Geneva, Switzerland, she revealed that predictive policing algorithms were more likely to flag individuals from low-income or minority neighborhoods as potential threats, exacerbating racial and socioeconomic disparities. These kinds of biases not only erode public trust in law enforcement but also risk turning technology into a double-edged sword, one that reinforces the very problems it seeks to solve.
As technology continues to reshape crime prevention and criminal justice, it is imperative to strike a balance between innovation and ethical responsibility. While digital tools may have enhanced efficiency and crime-fighting capabilities, their deployment must be guided by principles of fairness, transparency, accountability, and inclusivity. Governments, legal institutions, and technology developers must work collaboratively to ensure that these advancements serve all populations equitably.
Policy Recommendations
Strengthening Cybersecurity in Law Enforcement and Judiciary Systems: Governments must invest in robust cybersecurity frameworks to protect judicial databases, emergency response networks, and law enforcement communication channels from cyber threats. Regular security audits, penetration testing, and cybersecurity training should be mandated.
Ensuring Transparency and Accountability in AI-Driven Policing: Law enforcement agencies must adopt transparency measures in the use of AI-driven predictive policing. This includes making algorithmic decision-making processes open to scrutiny, implementing bias detection mechanisms, and establishing independent oversight bodies to monitor the ethical use of AI in crime prevention.
Promoting Inclusive Access to Digital Justice Services: Governments must ensure that virtual court hearings, electronic case management systems, and AI-driven legal research tools are accessible to all, including individuals from low-income backgrounds, persons with disabilities, and those in rural communities. Digital literacy programmes should also be introduced to enhance the adoption of these technologies.
Ethical Regulation of Facial Recognition and Surveillance Technologies: While facial recognition and real-time surveillance have proven effective in crime prevention, their use must be regulated to prevent abuse. Clear guidelines must be established to ensure that these technologies do not infringe on privacy rights or lead to wrongful profiling.
Cross-Border Cooperation in Tackling Cybercrime: As cybercriminal activities increasingly transcend national boundaries, international cooperation is essential. Governments must strengthen cross-border collaborations on cybersecurity, intelligence sharing, and the prosecution of cybercriminals through international legal frameworks.
Conclusion
Technology has ushered in a new era of crime prevention and justice administration, offering unprecedented efficiency and intelligence in tackling crime. However, its integration into legal and law enforcement systems must be guided by ethical considerations, transparency, and equity, that way, societies can build justice systems that are not only efficient but also fair, inclusive, and resilient in the face of emerging threats.
References:
1.https://lawpavilion.com/
2.https://blog.rossintelligence.com/
3.https://www.lexisnexis.com/en-us
4.https://iecms.gov.rw/en/
5.https://www.synisys.com/case-studies/rwandas-justice-sector-integrated-electronic-case-management-system-iecms/
6.https://www.channelstv.com/2020/05/04/breaking-lagos-judiciary-holds-first-virtual-court-sitting
7.https://www.mnd.uscourts.gov/virtual-hearings
8.https://news.met.police.uk/news/metropolitan-police-makes-over-500-arrests-this-year-using-live-facial-recognition-technology-491534
9.https://www.abc.net.au/news/2024-08-25/nsw-triple-0-calls-can-ow-be-live-streamed/104267118
10.https://edition.cnn.com/2021/05/10/politics/colonial-ransomware-attack-explainer/index.html
11.https://www.aclu.org/documents/statement-concern-about-predictive-policing-aclu-and-16-civil-rights-privacy-racial-justice
12.https://www.ohchr.org/en/stories/2024/07/racism-and-ai-bias-past-leads-bias-future
