Building a Legal Tech MVP for a Startup

Overview

Our client is a US-based startup specializing in legal tech solutions, focusing on automating and streamlining legal processes. The client reached out to us to create an application for robust case management and data retrieval, catering to companies involved in legal disputes. For the purpose of the lawsuit, the system would need to extract, categorize, and manage data from various communication challenges while being compliant with the legal requirements.

Use Case/Challenges

Our client, a US-based legal tech startup, required a robust case management and data retrieval system to automate and streamline legal processes for companies involved in legal disputes. The system needed to extract and segregate data, manage legal data, integrate with Google Cloud, leverage AI and data engineering while ensuring they meet legal requirements and compliance.

Challenges

High Litigious Environment

In the highly litigious US market, the need for efficient data extraction and segregation during lawsuits is critical, especially when the disputes involve enterprises and enterprise data.

Data Integration Complexity

The project required seamless integration of data from multiple communication platforms like Slack, Jira, Teams, Gmail, and Zendesk, which posed significant technical challenges.

Google Cloud Platform

The startup operated as a Google Cloud-focused organization, making it essential to develop a solution optimized for Google Cloud’s infrastructure.

AI and Data Engineering

The solution required a blend of AI and data engineering to automate the extraction and categorization of relevant data from the integrated platforms.

Troubleshooting and Research

Extensive troubleshooting and research were necessary to ensure smooth operation and compatibility across various platforms and tools.

Solution

Our team at Aascent InfoSolutions built a comprehensive case management and data retrieval system tailored to the startup’s needs and allowed them to launch the MVP in time.

Technology Stack

Frontend: NestJS
Backend: Python, Django, and FastAPI
UI Components: Material UI
Database: PostgreSQL
Deployment Platform: Deployed on Google Cloud’s Compute Engine
DevOps Tools: Docker and Docker Compose were used for containerization, while Google Cloud's CI/CD Pipeline ensured smooth and automated deployment processes.
Repository Management Tool: Bitbucket was employed for version control and repository management, enabling efficient collaboration among the development team.
Log Analysis: Splunk was integrated for comprehensive log analysis and monitoring, helping to maintain the system's performance and troubleshoot issues as they arose.

Engagement Benefits

Our solution successfully fulfilled all criteria set by the startup, allowing them to manage legal data across multiple platforms. The AI and data engineering elements significantly reduced the time needed for data extraction and segregation. This had a significant impact on the speed and accuracy of the legal discovery process.

This project not only showcased our team’s expertise in developing complex legal tech solutions but also reinforced our ability to troubleshoot and innovate within a highly regulated and litigious environment.

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"Aascent InfoSolutions was instrumental in helping us launch our MVP. Their expertise in AI and data engineering allowed us to build a powerful case management system that streamlines data extraction for legal discovery. We're extremely satisfied with their work and highly recommend them."

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