
Litigation Project
An AI-powered platform designed to streamline legal case analysis and automate statute identification. It empowers legal professionals with real-time insights, transforming traditional legal workflows into faster, smarter processes
- Country Minnesota
- Service Generative AI Solutions for Legal Industry
- Industry Law & Enforcement
Process Followed
After lining up salient details related to inventory management and logistics application development, our team outlined a course of action that would be followed to develop a comprehensive solution. The process comprised of identification of problems, considering the relevant factors of the solution, taking note of common challenges faced, and coming up with the outcome in the end.
Problem Identification
Feasibility study
Solution Implementation
Challenges
Final Outcome
Client Overview
Our client, a prominent provider of consulting and investigative services, operates in Minnesota. With a dedicated team of professionals boasting varied backgrounds, they offer a spectrum of services, from short-term assistance to long-term strategic placement, aimed at optimizing organizational performance. Driven by a commitment to excellence, our client seeks to leverage emerging technologies to streamline processes & enhance decision-making.
Recognizing the potential of AI-driven solutions in transforming traditional approaches to case analysis and statute interpretation, they partnered with QSS Technosoft to pioneer advancements in legal technology. Through collaboration with QSS Technosoft, our client aims to revolutionize legal processes, empowering legal professionals and law enforcement agencies with cutting-edge tools for efficient case analysis and statute identification.

Feasibility Study
- Tested open-source LLMs and tools like Langchain and AWS Bedrock for handling complex legal documents and real-time analysis.
- Designed an easy-to-use interface for legal professionals to upload reports and get statute insights without technical skills.
- Ensured the system can process large PDFs and scale using FAISS vector stores and AWS cloud infrastructure.
- Verified compliance with legal data privacy and accurate NIBRS code identification for reporting standards.
- Projected faster case analysis, less manual work, and better decision-making for legal teams and law enforcement.
Solution Implementation
The QSS Technosoft Team spent six months developing the Litigation Project, starting with selecting suitable open-source LLMs and closely collaborating with the client to align goals. They overcame technical challenges like integrating real-time streaming via WebSocket and hosting on AWS through iterative testing and expert consultations. A two-step LLM execution approach was fine-tuned with client input to ensure accuracy, while continuous feedback helped refine a user-friendly interface balancing complex backend processing. Despite challenges, the project was delivered on time, providing an efficient platform that transforms legal case analysis and accelerates legal workflows.
Product discovery workshop
Our Product Discovery Workshop is a collaborative, structured session designed to align stakeholders, understand user needs, and define clear project goals. Through workshops involving brainstorming, user journey mapping, and feature prioritization, we help clients uncover key product requirements, validate ideas, and identify technical feasibility early on. This process minimizes risks, accelerates development timelines, and ensures the final solution delivers maximum value to users and the business.
Competitor Analysis
A thorough Competitor Analysis enables us to understand the market landscape, identify strengths and weaknesses of similar products, and uncover opportunities for differentiation. By examining competitors’ features, user experiences, pricing models, and technology stacks, we provide actionable insights that inform product strategy and positioning. This competitive intelligence helps our clients build solutions that stand out, address unmet needs, and gain a strategic advantage in their industry.

Key Features
- User-friendly interface for Case Report Input: An intuitive user interface enables users to input or paste case reports for seamless analysis by the system, ensuring ease of use and efficient interaction.
- Separate Interface for Knowledge Indexing: This interface facilitates uploading of various file formats such as PDFs and DOCX files to enhance the system's comprehension of legal documents.
- Real-Time Streaming Responses via Web Socket: Integration of Web Socket enables real-time streaming responses, mimicking Chat-GPT UI, for instant feedback and dynamic updates, enhancing user experience.
- Ingestion of PDFs of Arbitrary Sizes and Storage in Vector Store: Efficiently ingest and store PDF documents of any size in a vector store, ensuring scalability and flexibility to handle diverse legal documents without compromising performance.
- Identification of Applicable Statutes and NIBRS Codes: Utilizes advanced algorithms to analyze case reports, identifying relevant statutes and NIBRS codes, ensuring accurate and comprehensive legal information for specific cases.
The Challenges
- To create a tool that can do automated data analysis on uploaded user data such as CSV and PDF and provide results and recommendations in an easy-to-understand format using LLMs
- To streamline case analysis and statute identification to enhance efficiency for legal professionals and law enforcement.
- To quickly give helpful advice based on laws that apply, so people can make smart choices early on in a legal case.
- To create an accessible platform simplifying legal jargon and statutes to empower non-experts in handling legal matters effectively.
- To accelerate legal proceedings by streamlining initial analysis to swiftly identify relevant statutes and criminal offenses in case reports.
- To provide detailed outputs, including relevant statutes and accurate NIBRS (National Incident-Based Reporting System) codes, ensuring compliance with reporting standards.
- To create a system that can handle PDF files of any size, from various sources, including complex legal documents, and process them.
Final Outcome
- This project fulfills its goal of simplifying case analysis, helping legal professionals and law enforcement swiftly interpret statutes and pinpoint relevant criminal offenses.
- Web Socket enable real-time updates like Chat-GPT UI, improving user experience and decision-making.
- Advanced algorithms accurately analyze case reports, pinpointing relevant statutes and NIBRS codes, providing precise information for legal professionals' decision-making.
- This project compiles a comprehensive catalog of criminal offenses featured in analyzed case reports. This valuable resource provides insights into the types and seriousness of criminal activities documented.
- This interface accelerates legal proceedings by streamlining initial analysis and swiftly identifying relevant statutes and offenses.
Information Architecture
Technology Stack
AWS Glue
Llama2-13B
FAISS (Vector Store)
Langchain
Stream lit
WebSocket
" QSS Technosoft transformed our case analysis with their AI-driven platform, speeding up legal processes and simplifying statute identification. Their expert team delivered a solution that perfectly fits our needs, empowering faster, more informed decisions "
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