Algorithmic Standard Clauses in Digital Contracts: The Limits of Freedom of Contract and the Protection of Weaker Parties

Lukman Rizky Taufik Wijaya; Galih Yusuf Santoso

Authors

Lukman Rizky Taufik Wijaya Universitas Hasanuddin Author
Galih Yusuf Santoso Universitas Hasanuddin Author

Keywords:

Algorithmic standard clauses, Digital contracts, Freedom of contract, Weaker parties, Algorithmic transparency

Abstract

Purpose - This study examines how algorithmic standard clauses reshape freedom of contract in digital transactions and affect the protection of weaker parties, with emphasis on meaningful consent, transparency, personalization, and automated contractual decisions.

Methodology - A qualitative socio-legal design combined semi-structured interviews with analysis of digital contracts, platform policies, and relevant legal instruments. Reflexive thematic analysis and legal interpretation were used to identify patterns of autonomy, algorithmic control, vulnerability, and contractual fairness.

Findings - Formal consent often existed without meaningful negotiation. Algorithmic opacity, unilateral modification, personalized treatment, manipulative choice architecture, and limited contestability weakened substantive contractual autonomy. Computational bargaining inequality and relational digital vulnerability emerged as important sources of imbalance.

Implications - Digital contract regulation should adopt a process-based approach that examines how algorithms influence contract formation, implementation, modification, and enforcement. Stronger transparency, meaningful consent, proportionality, and accessible review mechanisms are required to protect weaker parties.

Originality - The study conceptualizes algorithmic standard clauses as a distinct form of contractual power and integrates substantive autonomy, computational power, relational vulnerability, and algorithmic contestability into a framework for assessing digital contractual fairness.

References

Admiral, A., Arifin, R., Adinda, F. A., & Ezzerouali, S. A. (2025). Unfair terms in standard digital contracts: A hidden threat to human rights and consumer justice. Yustisia Jurnal Hukum, 14(3), 312–340. https://doi.org/10.20961/yustisia.v14i3.109656

Ahmed, S. K. (2024). The pillars of trustworthiness in qualitative research. Journal of Medicine, Surgery, and Public Health, 2, 100051. https://doi.org/10.1016/j.glmedi.2024.100051

Argelich Comelles, C. (2024). Contratación con inteligencia artificial y contratos algorítmicos: Repensando el Derecho civil ante el informe español de la legislación de consumo y mercantil para la Comisión Europea. Revista Crítica de Derecho Inmobiliario, 804, 2033–2071. https://doi.org/10.36151/rcdi.2024.804.03

Awang, N. (2024). Contract law and artificial intelligence: Examine the implications of AI on contract negotiation and execution, including the challenges of automated contracting. International Journal of Academic Research in Business and Social Sciences, 14(11), 93–102. https://doi.org/10.6007/IJARBSS/v14-i11/23197

Biczysko-Pudełko, K. (2024). Algorithmic contracts in the light of selected acts of model contract law. The Opole Studies in Administration and Law, 21(2), 43–58. https://doi.org/10.25167/osap.5369

Braun, V., & Clarke, V. (2024a). A critical review of the reporting of reflexive thematic analysis in Health Promotion International. Health Promotion International, 39(3), daae049. https://doi.org/10.1093/heapro/daae049

Braun, V., & Clarke, V. (2024b). Supporting best practice in reflexive thematic analysis reporting in Palliative Medicine: A review of published research and introduction to the Reflexive Thematic Analysis Reporting Guidelines (RTARG). Palliative Medicine, 38(6), 608–616. https://doi.org/10.1177/02692163241234800

Brenncke, M. (2024). A theory of exploitation for consumer law: Online choice architectures, dark patterns, and autonomy violations. Journal of Consumer Policy, 47(1), 127–164. https://doi.org/10.1007/s10603-023-09554-7

Calaza, T. (2024). Caught in the web: How e-commerce plays with consumer minds. Brazilian Journal of Law, Technology and Innovation, 2(2), 54–70. https://doi.org/10.59224/bjlti.v2i2.54-70

Chen, Q., Wang, Y., Gong, Y., & Liu, S. (2023). Ripping off regular consumers? The antecedents and consequences of consumers’ perceptions of e-commerce platforms’ digital power abuse. Journal of Business Research, 166, 114123. https://doi.org/10.1016/j.jbusres.2023.114123

De Conca, S. (2023). The present looks nothing like the Jetsons: Deceptive design in virtual assistants and the protection of the rights of users. Computer Law & Security Review, 51, 105866. https://doi.org/10.1016/j.clsr.2023.105866

Durovic, M., & Poon, J. (2023). Consumer vulnerability, digital fairness, and the European rules on unfair contract terms: What can be learnt from the case law against TikTok and Meta? Journal of Consumer Policy, 46, 419–443. https://doi.org/10.1007/s10603-023-09546-7

Durovic, M., & Willett, C. (2023). A legal framework for using smart contracts in consumer contracts: Machines as servants, not masters. The Modern Law Review, 86(6), 1390–1421. https://doi.org/10.1111/1468-2230.12817

Farinho, D. S. (2024). Personal data processing by online platforms and search engines: The case of the EU Digital Services Act. Public Governance, Administration and Finances Law Review, 9(1), 37–58. https://doi.org/10.53116/pgaflr.7134

Frattone, C. (2024). Algorithmic mistakes in machine-made contracts: The legal consequences of errors in automated contract formation. Uniform Law Review, 28(3–4), 407–425. https://doi.org/10.1093/ulr/unae004

Heidary, K., van der Rest, J.-P., & Custers, B. (2024). Discrimination grounds and personalised pricing: Consumer perceptions of fairness, norm alignment, legality, and trust in markets. Internet Policy Review, 13(4). https://doi.org/10.14763/2024.4.1809

Herman, J. (2024). Dark patterns: EU’s regulatory efforts. Security and Privacy, 7(6), e441. https://doi.org/10.1002/spy2.441

Herbosch, M. (2023). Contracting with artificial intelligence: A comparative analysis of the intent to contract. Rabels Zeitschrift für ausländisches und internationales Privatrecht, 87(4), 672–706. https://doi.org/10.1628/rabelsz-2023-0076

Kim, K. K., Kim, W. G., & Lee, M. (2023). Impact of dark patterns on consumers’ perceived fairness and attitude: Moderating effects of types of dark patterns, social proof, and moral identity. Tourism Management, 98, 104763. https://doi.org/10.1016/j.tourman.2023.104763

Koh, W. C., & Seah, Y. Z. (2023). Unintended consumption: The effects of four e-commerce dark patterns. Cleaner and Responsible Consumption, 11, 100145. https://doi.org/10.1016/j.clrc.2023.100145

Kühling, J., & Sauerborn, C. (2025a). Dark patterns undermining digital fairness? A possible new Digital Fairness Act from a fundamental rights perspective: An examination of reform suggestions against the background of the EU fundamental rights legal framework. Computer Law Review International, 26(2), 65–74. https://doi.org/10.9785/cri-2025-260202

Kühling, J., & Sauerborn, C. (2025b). Dark patterns undermining digital fairness? The legal framework against manipulative designs: Analysing the impact of the three key EU directives for consumer protection on the use of dark patterns. Computer Law Review International, 26(2), 82–90. https://doi.org/10.9785/cri-2025-260204

Meirezaldi, O. (2025). Dark patterns reconsidered: A cross-taxonomic and conceptual mapping for ethical interface design. Telaah Bisnis, 26(1), 11–25. https://doi.org/10.35917/tb.v26i1.586

Möslein, F. (2023). Digitized terms: The regulation of standard contract terms in the digital age. European Review of Contract Law, 19(4), 300–320. https://doi.org/10.1515/ercl-2023-2019

Prihartanto, Y., Arifin, F., Maarif, I., & Kwarteng, A. H. (2025). From legal formalism to algorithmic justice: Rethinking consumer protection in the digital economy. Supremasi Hukum: Jurnal Kajian Ilmu Hukum, 14(1), 65–88. https://doi.org/10.14421/gqmmwr98

Santos, C., Morozovaite, V., & De Conca, S. (2025). No harm no foul: How harms caused by dark patterns are conceptualised and tackled under EU data protection, consumer and competition laws. Information & Communications Technology Law, 34(3), 329–375. https://doi.org/10.1080/13600834.2025.2461958

Sergeeva, O. V. (2024). Protection of the weaker party in the context of digitalization of contractual relations. Journal of Russian Law, 28(6), 37–52. https://doi.org/10.61205/S160565900028907-1

Shah, I. (2025). AI-driven price discrimination: Strategic applications, ethical challenges, and regulatory implications. International Science Journal of Management, Economics & Finance, 4(5), 33–50. https://doi.org/10.46299/j.isjmef.20250405.04

Singh, V., Vishvakarma, N. K., & Kumar, V. (2024). Unveiling digital manipulation and persuasion in e-commerce: A systematic literature review of dark patterns and digital nudging. Journal of Internet Commerce, 23(2), 144–171. https://doi.org/10.1080/15332861.2024.2330813

Tejomurti, K., Sukarmi, S., & Mahmudy, W. F. (2025). Legal challenges and reform proposals for algorithmic contracts under Indonesia’s Information and Electronic Transactions Law. Jambura Law Review, 7(2), 559–582. https://doi.org/10.33756/jlr.v7i2.30617

Tzimas, T. (2023). Algorithmic transparency and explainability under EU law. European Public Law, 29(4), 385–412. https://doi.org/10.54648/EURO2023021

Udayanga, S. (2025). Reflexive and iterative thematic analysis (RITA): A design-framework for qualitative research. Qualitative Research, 1–35. https://doi.org/10.1177/14687941251377282

Volos, A. A. (2024). Freedom of contract and its limits in digital environment. Perm University Herald. Juridical Sciences, 2(64), 254–273. https://doi.org/10.17072/1995-4190-2024-64-254-273

Wang, X., Wu, Y. C., Ji, X., & Fu, H. (2024). Algorithmic discrimination: Examining its types and regulatory measures with emphasis on US legal practices. Frontiers in Artificial Intelligence, 7, 1320277. https://doi.org/10.3389/frai.2024.1320277

Wierzchowska-Dziawgo, A. M. (2025). Artificial intelligence and consumer rights: Legal responsibility for algorithmic decisions in the Polish and EU regulatory context. Marketing of Scientific and Research Organizations, 56(2), 1–24. https://doi.org/10.2478/minib-2025-0006

Zac, A., Huang, Y.-C., von Moltke, A., Decker, C., & Ezrachi, A. (2025). Dark patterns and consumer vulnerability. Behavioural Public Policy, 1–50. https://doi.org/10.1017/bpp.2024.49