Secure Multi-Tenant Data Management Platform for Sensitive Legal Operations

The client faces difficulties in managing and storing vast amounts of confidential data from various communication platforms. Existing solutions lack automation, multitenant architecture, and multi-role access control, leading to inefficient case handling, risks of data leaks, and inability to isolate data per case for compliance and security reasons.

A specialized legal technology firm providing data collection, structuring, and secure storage solutions for law enforcement and legal departments handling sensitive case information.

• Develop an automated system capable of collecting, structuring, and indexing data from multiple messaging platforms.
• Implement multi-tenant architecture to securely isolate data for individual legal cases.
• Enable multi-role access controls to support different user permissions within the platform.
• Ensure high system reliability, security, and compliance with data privacy standards.
• Design a scalable solution that supports growing data volumes with efficient retrieval and visualization capabilities.

• Automated data ingestion from various messaging services (e.g., Skype, WhatsApp, Telegram, Viber).
• Per-case data isolation using multitenant database architecture.
• Indexing and searching capabilities for efficient retrieval of relevant information.
• Role-based access control to manage user permissions.
• Visual analytics dashboard for data visualization and analysis.
• Automated data management workflows and case lifecycle handling.

• Messaging platforms APIs for data ingestion
• Billing and authentication systems
• Data visualization and reporting tools
• Security and compliance modules

• High scalability to handle increasing data volume and user load
• Data security compliance to maintain confidentiality of sensitive information
• High availability with 99.9% uptime SLAs
• Fast data retrieval with optimized search indexing
• Automated data backup and disaster recovery procedures

The platform is expected to streamline case data management, reduce manual effort in data collection and structuring, and improve data security and isolation. This will enable legal teams to access relevant information more quickly and reliably, enhancing case analysis efficiency and compliance with data privacy standards.