Construction Contract Risk Management - AI Web Developer Expert Needed

I am seeking a professional with expertise in AI Programmes that offers many services in construction contract management, specifically in risk assessment and mitigation for EPC and Remeasured contracts. The primary goal is to define a clear scope of work and risk analysis during the contract drafting and review process and the execution process. Key Responsibilities: - Evaluate and identify potential risks associated with EPC and Remeasured contracts. - Propose effective mitigation strategies to manage identified risks. - Assist in contract drafting and review to ensure a clear scope of work. - Review all contract documents to ensure congruity and to minimize latent ambiguities - Proactively manage and maintain comprehensive claims documentation. - have a good knowledge of Egyptian Civil Law 131\1948 - Manage contracts, utilizing precise terminology and relevant legal clauses to ensure clarity, enforceability, and compliance with FIDIC and other international standards. Ideal Skills: - Extensive experience in construction contract management. - Proficient in risk assessment and mitigation strategies. - Strong skills in contract drafting and review. - Excellent understanding of EPC and Remeasured contracts. Tasks Required: - AI Model Development and Training: The developer will focus on creating sophisticated AI models to predict and mitigate risks. These models will be trained on a vast dataset of historical construction contracts, legal precedents, industry standards, and market trends. A key focus will be on developing models that can accurately assess the likelihood and potential impact of various risks, such as delays, cost overruns, and disputes, specific to EPC and Remeasured contracts. Additionally, the developer will work on creating models that can recommend effective mitigation strategies based on the predicted risks and the unique circumstances of each contract. Crucially, the models will be designed to analyze and interpret contract wording, even from scanned pages, utilizing advanced Natural Language Processing (NLP) techniques. - AI Program Development: The developer will then translate these AI models into a user-friendly program. This will involve creating an intuitive interface that allows users to easily input contract data, view risk assessments, and access mitigation recommendations. The program should incorporate features for comprehensive contract analysis, including the ability to identify and flag potential ambiguities, inconsistencies, and areas of legal risk, considering relevant Egyptian laws such as Civil Law 131/1948. - Program Testing and Deployment: Once the program is developed, rigorous testing will be conducted to ensure its functionality, accuracy, and reliability. This may involve pilot testing with a select group of users to gather feedback and identify areas for improvement. Upon successful testing, the program will be deployed to a secure and accessible platform, such as a cloud-based server or an internal network. The developer will also provide comprehensive training to users on how to effectively utilize the program's features for contract administration, including risk management, legal compliance, and efficient contract execution. - Continuous Improvement: The development process will not end with deployment. The developer will continue to monitor program usage, gather user feedback, and analyze performance data. This information will be used to refine existing AI models, add new features, and improve the overall program functionality. Regular updates and enhancements will focus on improving the program's ability to analyze complex contract language, identify emerging risks, and adapt to evolving legal and regulatory frameworks in Egypt. Key Considerations: Throughout the development process, it is crucial to prioritize data privacy and security, ensuring compliance with relevant regulations. Additionally, the developer should strive to create models that are explainable and transparent, allowing users to understand the reasoning behind the program's recommendations. Ethical considerations, such as the potential impact of AI on the workforce and the responsible use of technology, should also be carefully addressed.