Subpoena Request Intake Automation

The Challenge

Handling subpoenas and similar legal information requests demands absolute precision and timely coordination. Each request must be validated, routed, and answered according to strict regulatory requirements, yet the process is often slowed by manual classification and fragmented data systems.

At this global bank, legal and compliance teams relied on manual reviews to identify request types and gather data. Information was spread across customer, product, and operational systems, forcing staff to move between platforms and validate details repeatedly. Each submission required careful compilation and review, but without a unified workflow, progress tracking was limited. Inconsistencies between teams increased the risk of delays, incomplete data, and regulatory noncompliance.

The Solution

Using Maisa Studio, the bank's legal operations team created a Maisa Digital Worker that manages subpoenas and legal requests from start to finish. Configured in natural language, the Digital Worker follows institutional rules and compliance standards to ensure accuracy, speed, and transparency.

• Automated Classification: Each incoming request is analyzed and categorized automatically, with routing to the correct workflow or department.

• Data Gathering from Internal Systems: Maisa connects securely to relevant internal databases to retrieve necessary client, product, and transaction details.

• Structured Response Compilation: Collected data is organized into standardized documents ready for review, aligned with internal templates and regulatory formats.

• Focused Escalation: Routine requests are completed automatically, while sensitive cases are forwarded to legal teams for verification.

• Audit and Compliance Tracking: Every request and response is logged with a complete record of actions taken for compliance checks and audit reviews.

The Results

Requests that previously required several days are now completed in minutes, giving legal teams more time to focus on complex matters. Automated classification and response logic eliminate misrouting and reduce the potential for missing or inaccurate information. Each response is traceable, fully documented, and aligned with the institution's internal standards and external legal requirements.