eISSN: 3087-4289 editor@aimjournals.com
All Journals
Submit your article

International Journal of Modern Computer Science and IT Innovations

Open Access Peer Review International
Open Access

Architectural and Methodological Foundations of Trusted User Interfaces for GenAI-Assisted Contract Preparation, Review, and Approval Systems

DOI https://doi.org/10.55640/ijmcsit-v03i06-04
PDF
Grigorii Danileiko 1 ORCID iD ,
4 Agiloft Canada, Inc.; University Researcher

Abstract

The rapid adoption of generative artificial intelligence (GenAI) in legal technology has made the design of trusted user interfaces (UIs) for contract lifecycle management (CLM) systems a pressing research concern. Despite the growing availability of AI-powered CLM platforms, there remains a significant gap in formalized architectural and methodological frameworks that govern how such interfaces should be structured to satisfy transparency, explainability, and human oversight requirements. This study investigates the architectural principles and methodological patterns underlying trusted UI design for GenAI-assisted contract preparation, review, and approval systems. The research applies a systematic literature review, comparative analysis of existing CLM platforms, and content analysis of technical specifications. Key results include a proposed four-layer UI architecture, a human-in-the-loop confidence routing model, and a trust signal component taxonomy, all grounded in evidence from industry deployments and peer-reviewed sources. The study concludes that integrating structured explainability overlays, role-aware access controls, and audit-traceable interactions offers a structured methodological basis for trusted GenAI interfaces. Practitioners in legal technology, enterprise software architecture, and AI governance may find the presented framework useful as a reference architecture and evaluation aid.

Keywords

Trusted user interface, generative AI, contract lifecycle management, explainability

References

Grand View Research. (2025). Contract lifecycle management software market (2025–2030) size, share & trends analysis report by component (software, services), by business function (legal, procurement), by deployment mode, by organization size, by end use, and segment forecasts. Grand View Research. Retrieved from: https://www.grandviewresearch.com/industry-analysis/contract-lifecycle-management-software-market-report (date accessed: November 3, 2025).
Global Growth Insights. (2026). AI in contract management system market size, share, growth, and industry analysis, by types (natural language processing (NLP), machine learning (ML)), by applications covered (financial, legal, retail, other), regional insights and forecast to 2035. Global Growth Insights. Retrieved from: https://www.globalgrowthinsights.com/market-reports/ai-in-contract-management-system-market-110731 (date accessed: April 4, 2026).
Ernst & Young LLP. (2025). GenAI in contract management: Growing optimism in GenAI implementation is evident, but where is the adoption? EY. Retrieved from: https://www.ey.com/content/dam/ey-unified-site/ey-com/en-us/campaigns/ai/documents/ey-genai-in-contract-management.pdf (date accessed: November 18, 2025).
Al-Kfairy, M. (2025). Strategic integration of generative AI in organizational settings: Applications, challenges, and adoption requirements. IEEE Engineering Management Review, 53(6), 80–97. https://doi.org/10.1109/EMR.2025.3534034
Kooy, S. J., Piest, J. P. S., & Bemthuis, R. H. (2025). Impact and implications of generative AI for enterprise architects in agile environments: A systematic literature review. arXiv. https://doi.org/10.48550/arXiv.2510.22003
Alenezi, M., & Akour, M. (2025). AI-driven innovations in software engineering: A review of current practices and future directions. Applied Sciences, 15(3), 1344. https://doi.org/10.3390/app15031344
Custom Market Insights. (2026). Global contract lifecycle management (CLM) market 2025–2034. Custom Market Insights. Retrieved from: https://www.custommarketinsights.com/report/contract-lifecycle-management-market/ (date accessed: April 2, 2026).
Coherent Market Insights. (2026). Contract lifecycle management software market size and share analysis: Growth trends and forecasts (2026–2033). Coherent Market Insights. Retrieved from: https://www.coherentmarketinsights.com/industry-reports/contract-lifecycle-management-software-market (date accessed: April 8, 2026).
World Commerce & Contracting. (2024). AI in contracting: From untapped revolution to emerging evolution. World Commerce & Contracting. Retrieved from: https://www.worldcc.com/Portals/IACCM/Reports/AI-in-Contracting.pdf (date accessed: December 5, 2025).
Future Market Insights. (2026). Contract lifecycle management market growth – trends & forecast 2026 to 2036. Future Market Insights. Retrieved from: https://www.futuremarketinsights.com/reports/contract-lifecycle-management-market (date accessed: February 20, 2026).
IMARC Group. (2026). Contract lifecycle management software market report by deployment model, CLM offerings, enterprise size, industry, and region, 2026–2034. IMARC Group. Retrieved from: https://www.imarcgroup.com/contract-lifecycle-management-software-market (date accessed: January 14, 2026).
Rashid, A. B., & Kausik, M. A. K. (2024). AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277. https://doi.org/10.1016/j.hybadv.2024.100277
Amendi, R., Halim, E., & Hartono, H. (2024). Exploring ethical implications: Unraveling factors influencing data governance awareness behavior in generative AI chatbot. In Proceedings of the 2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA) (pp. 1–6). IEEE. https://doi.org/10.1109/ICTIIA61827.2024.10761290
BCG. (2025). Making AI agents safe for the world. Boston Consulting Group. Retrieved from: https://www.bcg.com/publications/2025/making-ai-agents-safe-for-world (date accessed: November 27, 2025).
Paliwal, G., Donvir, A., Gujar, P., & Panyam, S. (2024). Accelerating time-to-market: The role of generative AI in product development. In 2024 IEEE Colombian Conference on Communications and Computing (COLCOM) (pp. 1–9). IEEE. https://doi.org/10.1109/COLCOM62950.2024.10720255
Razavian, M., Paech, B., & Tang, A. (2023). The vision of on-demand architectural knowledge systems as a decision-making companion. Journal of Systems and Software, 198, 111560. https://doi.org/10.1016/j.jss.2022.111560
Vaidhyanathan, K., & Muccini, H. (2026). Software architecture in the age of agentic AI. In Software Architecture. ECSA 2025 Tracks and Workshops (Lecture Notes in Computer Science, Vol. 15982, pp. 41–49). Springer. https://doi.org/10.1007/978-3-032-04403-7_5
Gartner. (2025). Gartner survey shows AI and contract analytics are urgent priorities for general counsel. Gartner Newsroom. Retrieved from: https://www.gartner.com/en/newsroom/press-releases/2025-10-01-gartner-survey-shows-ai-and-contract-analytics-ar-urgent-priorities-for-general-counsel (date accessed: December 18, 2025).
Putta, A., Paasivaara, M., & Lassenius, C. (2018). Adopting scaled agile framework (SAFe): A multivocal literature review. In Proceedings of the XP 2018 Companion (Article 39, pp. 1–4). ACM. https://doi.org/10.1145/3234152.3234164
Global Market Insights. (2025). Contract lifecycle management software market size & share 2025–2034. Global Market Insights. Retrieved from: https://www.gminsights.com/industry-analysis/contract-lifecycle-management-software-market (date accessed: November 9, 2025).

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 > >> 

Similar Articles

41-50 of 72

You may also start an advanced similarity search for this article.