Advances in Data Science and Artificial Intelligence for
Advances in Data Science and Artificial Intelligence for Legal Research and Applications is a peer-reviewed scholarly journal dedicated to the intersection of data science, artificial intelligence (AI
Advances in Data Science and Artificial Intelligence for Legal Research and Applications is a peer-reviewed scholarly journal dedicated to the intersection of data science, artificial intelligence (AI), and the legal domain. This journal aims to promote the integration of cutting-edge AI and data analytics techniques into legal research and practice, with the mission to foster innovation and enhance the efficiency and effectiveness of the legal industry. Manuscripts suitable for submission include, but are not limited to, original research, empirical studies, theoretical analyses, practical applications, case studies, comprehensive reviews, and opinion pieces. We welcome contributions that address the development and application of AI tools in legal analytics, predictive modelling in law, automated legal reasoning, legal document analysis, and other relevant areas that push the boundaries of traditional legal research.
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What a web application project involves
Applications rather than websites: systems with users, roles, permissions and a workflow that has to survive contact with the way a business really operates. These are the projects where the interesting problems are behind the screen — who is allowed to approve what, what happens when two people edit the same record, and what the numbers have to reconcile to at the end of the month.
- Discovery first: the process is mapped as it actually runs, including the exceptions people work around
- Data model designed before screens, because that is what everything else has to live with
- Role-based access, audit trails and the reports the business is judged on
- Built on Laravel with MySQL, deployed to hosting in the client's own name
- Handover of source code, database and documentation — the system stays movable
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