Comparative Analysis of Electronic Contracts and Digital Signatures in Pakistan and China: An AI-Enhanced Legal Perspective
DOI:
https://doi.org/10.62497/irjai.253Keywords:
Electronic Contracts, Digital Signatures, Artificial Intelligence, AI, Cross-Border Commerce, Pakistan-China Relations, Legal Harmonization, Contract Law, E-Commerce, Digital EconomyAbstract
Introduction: Digital revolution in commerce has revolutionized the ways in which contracts are entered into and verified on a cross-border basis. Electronic contracts and digital signatures are the keystones of commercial transactions, but their legal status is not consistent throughout the jurisdictions. With the expansion of cross-border trade between the two countries under the China-Pakistan Economic Corridor (CPEC), legal and technological aspects of Digital Contracting are now very critical.
Objective: The aim of this paper is to make a comparative analysis of the laws relating to electronic contracts and digital signatures in Pakistan and China, with respect to the impact of artificial intelligence on the formation, verification, and enforcement of contracts in both countries. The study reviews the compatibility of domestic legal frameworks with international standards, and the implications for cross-border commercial transactions.
Methodology: This research uses the doctrinal legal approach and comparative research approach. The primary laws studied are: Electronic Transactions Ordinance 2002 of Pakistan, Electronic Signature Law (2019) of China, and the Model Law on Electronic Commerce of the United Nations Commission on International Trade Law (UNCITRAL). Secondary sources are judicial opinions, regulations and academic publications. The analysis also reflects new advancements in AI-based generation and dispute resolution of contracts.
Results: There is a considerable variation between the legal stance of Pakistan and China on electronic contracts. The legal framework in Pakistan is still largely outdated and lacks judicial interpretation to accommodate the usage of AI in contract processes, whereas China has put in place a comprehensive and tech-enabled framework for the same. The use of AI in judicial and commercial workflows, such as online dispute resolution and intelligent contract review, has revolutionized the contracting process in China, making it more efficient. Pakistan suffers from constant problems of law, lack of technical capacity, and institutional apathy.
Conclusion: It can be concluded that Pakistan has taken certain basic steps for electronic transactions as far as law is concerned, but there are certain aspects which are not aligned with the more progressive steps taken in Pakistan by the Chinese Government. To ensure secure and efficient cross-border e-commerce, harmonization is necessary, including by means of legal translation with the assistance of artificial intelligence, through standards for smart contract interoperability and capacities. The paper calls for the introduction of legal amendments in Pakistan that include the concept of AI governance and better institutional coordination.
References
UNCITRAL. UNCITRAL Model Law on Electronic Commerce (1996). New York: United Nations; 1996.
World Bank Group. Digital Economy for Development: Legal Frameworks for Electronic Commerce. Washington (DC): World Bank Group; 2023.
Azmi MA, Manap NA, Ahmad S, Zakaria Z, Selvaratnam DPS, Hamid NA, Othman N. Online dispute resolution (ODR): legal analysis and implementation in selected countries. Int J Acad Res Bus Soc Sci. 2025;15(11):271-83.
Burkle FM Jr, Khorram-Manesh A, Goniewicz K. Artificial intelligence-assisted decision-making in current and future complex humanitarian emergencies. Disaster Med Public Health Prep. 2025;19:e63. doi:10.1017/dmp.2025.63.
Baig K, Farooq M, Hashmi MAI, Sultan S. Artificial intelligence and commercial contracts: the future of contract law in Pakistan. Contemp J Soc Sci Rev. 2025;3(2).
Ali M, Geng LL. Alternative dispute resolution (ADR) in Pakistan: the role of lawyers in mediation procedure. J Leg Stud. 2019;12(3):45-62.
Qaiser K, Qaiser Z, Hameed U. The workable modalities of online dispute resolution in Pakistan. Glob Leg Stud Rev. 2020;5(3):39-46.
Khan MD, Kaya S, Habib RI. Global trends of online dispute resolution (ODR) with reference to online trade in Pakistan. Rev Econ Dev Stud. 2018;4(2):303-11.
Akhtar N, Khan A, Habib RI, Saleem H. Online dispute resolution as a solution to e-commerce disputes: a comparative study of Pakistan and the UK. J Contemp Issues Bus Gov. 2022;28.
Zuo X, Dahlan NK, Ahamat H. Online dispute resolution mechanism for cross-border e-commerce: empirical evidence from China [unpublished manuscript]. 2024.
Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 2019;17:195. doi:10.1186/s12916-019-1426-2.
Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, et al. Do no harm: a roadmap for responsible machine learning for health care. Nat Med. 2019;25:1337-40. doi:10.1038/s41591-019-0548-6.
Government of Pakistan. Electronic Transactions Ordinance 2002. Islamabad: Government of Pakistan; 2002.
National People's Congress of China. Electronic Signature Law of the People's Republic of China. Beijing: NPC; 2004 [revised 2019].
United Nations Office for Disaster Risk Reduction. Sendai Framework for Disaster Risk Reduction 2015-2030. Geneva: UNDRR; 2015.
Lu S, Christie GA, Nguyen TT, Freeman JD, Hsu EB. Applications of artificial intelligence and machine learning in disasters and public health emergencies. Disaster Med Public Health Prep. 2022;16(4):1674-81. doi:10.1017/dmp.2021.125.
Almulihi QA, et al. Applications of artificial intelligence and machine learning in emergency department triage: a systematic review. BMC Emerg Med. 2025.
Tahernejad A, et al. Application of artificial intelligence in triage in emergencies and disasters: a systematic review. BMC Public Health. 2024.
Mahl D, et al. Responsible artificial intelligence in public health: a Delphi study on risk communication, community engagement and infodemic management. BMJ Glob Health. 2025;10:e018545. doi:10.1136/bmjgh-2024-018545.
World Health Organization. Ethics and Governance of Artificial Intelligence for Health: WHO Guidance. Geneva: World Health Organization; 2021.
National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework (AI RMF 1.0). Gaithersburg (MD): NIST; 2023. doi:10.6028/NIST.AI.100-1.
World Health Organization. Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models. Geneva: World Health Organization; 2025.
European Union. Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence. Off J Eur Union. 2024.
United Nations Educational, Scientific and Cultural Organization. Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO; 2021.
Floridi L, Cowls J. A unified framework of five principles for AI in society. Harv Data Sci Rev. 2019;1(1). doi:10.1162/99608f92.8cd550d1.
Rajkomar A, Dean J, Kohane I. Machine learning in medicine. N Engl J Med. 2019;380:1347-58. doi:10.1056/NEJMra1814259.
World Health Organization. International Health Regulations (2005). 3rd ed. Geneva: World Health Organization; 2016.
Centers for Disease Control and Prevention. Public Health Emergency Preparedness and Response Capabilities: National Standards for State, Local, Tribal, and Territorial Public Health. Atlanta (GA): CDC; 2018.
Wibowo A, et al. Leveraging artificial intelligence in disaster management: a bibliometric and systematic review. 2025.
Hattab G, Irrgang C, Korber N, Kuhnert D, Ladewig K. The way forward to embrace artificial intelligence in public health. Am J Public Health. 2024. doi:10.2105/AJPH.2024.307888.
Mukhopadhyay A, Pettet G, Vazirizade SM, Lu D, Jaimes A, El Said S, et al. A review of incident prediction, resource allocation, and dispatch models for emergency management. Accid Anal Prev. 2022;165:106501. doi:10.1016/j.aap.2021.106501.
Bari LF, Ahmed I, Ahamed R, Zihan TA, Sharmin S, Pranto AH, et al. Potential use of artificial intelligence in disaster risk and emergency health management: a critical appraisal on environmental health. Environ Health Insights. 2023;17:11786302231217808. doi:10.1177/11786302231217808.
Ali Maher O, Cegolon L, Bellizzi S. Artificial intelligence as a tool for enhancing the performance of public health emergency operation centres. BMJ Glob Health. 2025;10:e016097. doi:10.1136/bmjgh-2024-016097.
Haykal D, Goldust M, Cartier H, Treacy P. AI in humanitarian healthcare: a game changer for crisis response. Front Artif Intell. 2025;8:1627773. doi:10.3389/frai.2025.1627773.
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