Legal, Institutional, and Technological Development in Forensic Science in Pakistan
DOI:
https://doi.org/10.63544/ijss.v5i3.282Keywords:
Forensic Science, Criminal Justice System, Pakistan, Qanun-E-Shahadat Order, Digital Forensics, Artificial Intelligence, Institutional Framework, Evidence Admissibility, PFSA, NFSAAbstract
This research paper critically examines the legal, institutional, and technological development of forensic science within Pakistan's criminal justice system. Employing a qualitative thematic analysis methodology, the study draws upon semi-structured interviews with fingerprint examiners and forensic practitioners from major forensic institutions, including the Punjab Forensic Science Agency (PFSA), the National Forensic Science Agency (NFSA), and regional laboratories in Khyber Pakhtunkhwa. The findings reveal that while Pakistan has established a foundational legal framework, primarily through the Qanun-e-Shahadat Order, 1984, and the Punjab Forensic Science Agency Act, significant gaps persist in standardization, judicial training, and the absence of a cohesive national forensic policy. Institutionally, specialized forensic agencies have enhanced the reliability of scientific evidence through DNA profiling, fingerprint analysis, and digital forensics; however, uneven resource distribution, inadequate coordination between police and forensic experts, and infrastructural disparities across provinces undermine systemic efficiency. Technologically, the adoption of Automated Fingerprint Identification Systems (AFIS) and biometric tools marks progress, yet the integration of advanced technologies such as artificial intelligence remains nascent due to financial constraints and skill shortages. Additionally, resource limitations, insufficient training programs, and limited career development opportunities hinder workforce capacity. The study concludes that while forensic science in Pakistan has evolved considerably, realizing its full potential requires comprehensive policy reforms, equitable resource allocation, enhanced inter-institutional coordination, strategic investment in AI and digital forensics, and sustained commitment to professional training and academic development. These measures are essential to strengthen evidentiary reliability, reduce wrongful convictions, and uphold the rule of law.
References
Abbas, A., Sipra, S. Z., Falak, M. W., & Khan, S. M. (2024). A critical case study on the role and admissibility of forensic science evidence in the criminal justice system of Pakistan. Pakistan JL Analysis & Wisdom, 3, 232.
Afridi, N. (2021). The current status of forensic science and its impact on administration of criminal justice system in Pakistan: An analytical study. Available at SSRN 3781586.
Ahmed, I., Rehman, T. U., & Ali, S. H. (2025). DIGITAL EVIDENCE IN PAKISTAN: LEGAL FRAMEWORK, FORENSIC CHALLENGES, AND JUDICIAL RELIABILITY. Contemporary Journal of Social Science Review, 3(1), 12-20.
Ahmed, M., Hussain, N., Khan, I., Ajmal, S., & Ahmed, T. (2025). Forensic Science's Relevance in Pakistan's Criminal Justice System. Journal of Political Stability Archive, 3(2), 1068-1076.
Ajmal, A., & Rasool, F. (2022). Forensic evidence in criminal justice system in Pakistan. Global Legal Studies Review, 7(3), 25-31.
Amin, F., Said, I., & Butt, M. A. (2025). AI-based cybersecurity solutions: Securing information and privacy in the evolving digital age. Journal of Engineering and Computational Intelligence Review, 3(2), 142-158.
Asif, M., & Qayum, S. (2023). Analyzing the Admissibility of Forensic Evidence in the Criminal Justice of Pakistan: Issues, Challenges and Scope. Pakistan Journal of Criminology, 15(3), 61.
Baig, K., & Hameed, M. S. (2025). An Analysis of the Role of Forensic Evidence from the Commission of Offence to the Trial. Pakistan Journal of Criminal Justice, 5(1), 27-45.
Barton Harrell, S. L. (2025). Prosecuting Attorneys’ Experiences and Perceptions of Evidence That Most Often Leads to Wrongful Convictions at the Pretrial Stage.
Bhan, S., Kumar, N., Singh, V. P., Gope, S., & Aqib, M. Challenges In Admissibility Of Forensic Evidence: A Comparative Analysis Of Legal Standards Across Jurisdictions. International Journal of Environmental Sciences, 11(14s), 2025.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.
Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.
Farhad, A., Ali, R. N., & Maryam, B. (2025). Forensic Science in Court: Assessing the Legal Response to Emerging Reliability Concerns in Pakistan. ASSAJ, 4(02), 2017-2024.
Ibrar, M., Yin, S., Li, H., Karim, S., & Laghari, A. A. (2024). Comprehensive review of emerging cybersecurity trends and developments. International Journal of Electronic Security and Digital Forensics, 16(5), 633-647.
Imtiaz, U., Ahmad, B., Sajid, M. H., Abbas, Q., Qureshi, M. A., Rasheed, S., & Khan, A. (2025). An Integrated Machine Learning Framework for Structural Health Monitoring of Bridges: A Case Study on Soan Bridge. The Asian Bulletin of Big Data Management, 5(2), 194-207.
Imtiaz, U., Malik, S., & Khan, A. (2024). Blockchain-Driven Cybersecurity Framework for Smart Homes: Integrating IoT and Machine Learning for Secure Automation. The Asian Bulletin of Big Data Management, 4(4), 570-583.
Khan, S. M., Yaqoob, A., Khokhar, J. A., & Malik, F. (2025). An Examining the Legal Framework for Criminal Investigations in Pakistan: Gaps and Reform Needs. The Critical Review of Social Sciences Studies, 3(1), 1957-1969.
Liaquat, I., Islam, A., & Ahmad, B. (2025). Forensic Science and Artificial Intelligence in Criminal Investigations: An Analysis of Operational Realities in Punjab, Pakistan. Journal for Current Sign, 3(4), 2278-2293.
Noor, S., Azeem, A., & Maqsood, W. (2025). Enhancing Forensic Evidence Management in Pakistan's Criminal Justice System: A Criminological Analysis. Journal of Political Stability Archive, 3(4), 438-453.
Raza, M. S., Ahad, A., Nawaz, R., Ahmad, M., Hassan, J. U., & Mehmood, U. (2023). A systematic review: on sexual assaults, forensic investigation and legal system in Pakistan. Biol. Clin. Sci. Res. J, 465.
Shah, S. M. H., Amin, F., & Khan, A. (2025). Cyber-Resilient Mobile Edge Computing: A Deep Neural Approach for Secure and Efficient Task Offloading. The Asian Bulletin of Big Data Management, 5(1), 200-215.
Sharafi, M. (2026). Fear of the False: Forensic Science and the Law of Crime in Colonial South Asia (p. 276). Cornell University Press.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2026 Iffra Zahid, Rooh Ullah

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The work is concurrently licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits others to share the work with an acknowledgement of the authorship and the work's original publication in this journal, while the authors retain copyright and grant the journal the right of first publication.