Abstract
The growing need to understand and compare elements in service agreements has generated strong interest in the industry. Although there are projects and tools for the automatic detection of information in contracts, automatic analysis is still a developing area of research. This becomes even more relevant with the rise of cloud service organizations, which highlights the need for tools for comparing contractual agreements. In this paper, we present a framework designed to automate contract analysis and comparison. In order to demonstrate the effectiveness of this approach, we created a prototype that uses language models to automatically detect obligations, rights, and parties involved in contracts. In addition, we applied an initial metric to determine the extent to which the customer benefits compared to the provider. The results of the evaluation support the effectiveness of the system by facilitating the understanding and reasoning of both parties regarding the terms of the agreement.
This work has been partially supported by the following grants: PID2021-126227NB-C21, PID2021-126227NB-C22, TED2021-131023B-C21, and PDC2022-133521-I00 which are funded by MCIN/AEI/10.13039/501100011033 and “ERDF a way of making Europe”; and grant PYC20 RE 084 US, which is funded by Junta de Andalucia/ERDF, UE.
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Notes
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Dataset available at https://huggingface.co/datasets/marmolpen3/slas-obligations-rights-sentences.
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https://platform.openai.com/docs/models/gpt-3-5.
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Prototype available at https://github.com/isa-group/iContracts.
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The authors would like to thank Antonio Ruiz Cortés for his constant support, help and valuable comments.
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Molino-Peña, E., García, J.M. (2024). Towards a Systematic Comparison Framework for Cloud Services Customer Agreements. In: Monti, F., et al. Service-Oriented Computing – ICSOC 2023 Workshops. ICSOC 2023. Lecture Notes in Computer Science, vol 14518. Springer, Singapore. https://doi.org/10.1007/978-981-97-0989-2_19
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