Orchestrated Task Bot Chains for Immigration Petition Automation
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Solution Overview
Problem
Conventional preparation of immigration petitions is a manual, time-consuming, resource-intensive, and error-prone process that diverts legal staff from client service and case strategy.
Innovation Solution
A system utilizing an orchestrator bot and a plurality of task bots to automate the generation of immigration petitions, including obtaining petitioner data, invoking task bot chains, pre-processing data for digital forms, and generating petitions for printing, with features like machine learning models for error reduction and efficiency improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for preparing immigration petitions, then flexibility in handling diverse case types is maintained, but time consumption and resource intensity increase significantly
Solution Approach 1:
The patent divides the immigration petition preparation process into discrete task bots, each handling specific functions such as data validation, form population, and document assembly. This segmentation enables parallel processing of multiple tasks while maintaining system manageability through modular architecture.
Solution Approach 2:
The patent creates a universal task bot framework that can handle multiple case types through configuration rather than hard-coded logic. Task bots are designed to be reusable across different petition types by loading appropriate templates and validation rules, reducing the need for separate automation systems for each case type.
2Reliability
If specialized proprietary programs are coded end-to-end for each specific task, then task-specific precision is improved, but memory storage requirements increase
Solution Approach 1:
The patent merges common functionality into shared task bot components that can be reused across multiple case types. Instead of maintaining separate proprietary programs for each task, the system combines validation logic, data processing routines, and form population capabilities into universal task bots that adapt to different cases through configuration parameters.
Solution Approach 2:
The patent uses template-based copying where standardized task bot implementations are replicated and adapted for different case types. Rather than creating unique code for each task, the system copies proven task bot patterns and customizes them through configuration, ensuring consistency while reducing storage requirements.
3Ease of operation
If manual effort is used for repetitive work, then system simplicity is maintained, but legal staff availability for client service decreases
Solution Approach 1:
The patent implements self-service automation where the system automatically performs data validation, form population, and document assembly without requiring manual intervention. Task bots autonomously navigate between steps, retrieve necessary information, and generate complete petitions, freeing legal staff to focus on client interaction and strategic decision-making.
Solution Approach 2:
The patent introduces task bots as intermediary components that mediate between data sources and final petition outputs. These bots handle the repetitive intermediate steps of data processing and form completion, acting as an automated layer between manual data entry and final document generation, thereby reducing staff workload while maintaining controlled automation levels.
Data Source
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AI summary
Systems and methods disclosed herein relate generally to generating an immigration petition. An orchestrator bot may obtain petitioner data and a case type classification value as input, invoke from a case type repository, based on the case type classification value, a task bot chain, wherein the task bot chain identifies one or more task bots selected from a plurality of task bots to create a subset of task bots to implement an execution sequence, and execute the subset of task bots according to the execution sequence. The subset of task bots may pre-process the petitioner data for injection into one or more digital forms, and generate, from the one or more digital forms, the immigration petition configured for printing on a paper of a given size.