AI-Based Cloud Systems for Automated Legal Document Processing

AI-based cloud systems are expected to have a positive effect in enabling efficient automated processing of standard legal documents.Legal technology (LegalTech) tools aim to increase efficiency in automated legal services such as e-discovery and legal-billing review by classifying, extracting, comparing, and summarizing information.These document-specific tasks rely on supervised-computing models that require large-scale datasets for training and performance evaluation.Cloud-based services based on multi-task and multi-lingual-large-pretrained transformer models are proposed for supporting the automation of common LegalTech tasks, including contract analysis, abbreviation, ediscovery, and litigation support.LegalTech service providers usually offer platform-as-a-service or software-as-a-service solutions to support the ediscovery process-all of which require compliance with legal and ethical regulations.Therefore, deployment of AI services must guarantee not only satisfactory accuracy and performance metrics but also issues such as data governance, bias determination, mitigation procedures, accountability assignment, and ethical compliance of usage.Concentrating on the architectures that provide these services, the availability of the AI models for Cloud APIs covering the required tasks is paramount.