CaseBrainZ™
I led the design and MVP launch of an AI-powered enterprise SaaS transforming legal case management, research, and documentation through data-driven insights.
I led the design and MVP launch of an AI-powered enterprise SaaS transforming legal case management, research, and documentation through data-driven insights.
CaseBrainZ™ is an innovative AI-powered legal technology platform. Launched in 2023, CaseBrainZ™ leverages advanced AI to transform how legal professionals manage cases, conduct research, and generate legal documents. With a mission to provide “AI-Driven Insights for Legal Excellence,” Litigiven empowers legal professionals with precise, data-driven tools that enhance decision-making and efficiency.
Product Designer
UX Designer
November.2023 - March 2024 (MVP Launch)
3 UX Designers
2 Product Manger
1 Tech Lead
5 Developers
1 QA
2 Stakeholders
As one of the earliest UX Designers at Litigiven, I played a pivotal role in bringing CaseBrainZ™ from concept to market. My responsibilities included:
Design Execution: Translated product requirements and user stories provided by the product manager into design solutions. Created user journeys, UX flows, information architecture, wireframes, prototypes, and high-fidelity UI designs with detailed guidelines.
Design System Development: Built a comprehensive design system from scratch to ensure consistency and scalability across the platform.
User Testing and Iteration: Conducted usability testing sessions with end users to gather feedback and iteratively refine designs.
Cross-Functional Collaboration: Worked closely with product managers, developers, QA teams, and stakeholders to align on features and push development forward.
During the development of CaseBrainZ™, we faced several significant design challenges:
Tight Deadlines
Delivering the MVP within three months required efficient design processes and rapid iterations.
Evolving Requirements
Continuous changes in design directions and new feature requests necessitated flexibility and quick adaptation.
Complex Domain Knowledge
The legal industry’s complexity required a deep understanding of legal processes and terminology to create effective designs.
Technical Limitations
Constraints imposed by development capabilities and system infrastructure influenced design decisions.
Legal professionals struggle with inefficient case management, time-consuming legal research, and cumbersome documentation processes, leading to reduced productivity and increased non-billable hours.
Inefficient Case Management: Traditional systems are fragmented and unintuitive, making it difficult for lawyers to track cases, organize documents, and communicate effectively.
Time-Consuming Legal Research: Finding relevant legal citations requires extensive manual effort, with existing tools often missing critical supportive cases.
Cumbersome Documentation Processes: Drafting legal memos is labor-intensive, diverting time from higher-priority tasks.
We introduced three core features in the MVP release of CaseBrainZ™:
The Case Management System is a comprehensive solution designed to streamline legal practice operations for professionals. It offers an intuitive interface where lawyers can efficiently track cases, organize documents, and manage client communications all in one place.
The Citation Search Tool is an AI-powered research feature that revolutionizes legal research for professionals. The tool utilizes advanced natural language processing to understand the context and intent of the proposition. It then analyzes a vast database of over 30 million legal entries to deliver a curated list of relevant cases that specifically support the user’s proposition. Additionally, it provides a citation graph visualization that illustrates the relationships between cases, ensuring no important citations are missed.
The Legal Memo Generator is an AI-assisted tool that streamlines the drafting of detailed and accurate legal memos. It features an interactive assistant that guides users through a series of questions to collect essential case details. Based on the provided information, the tool employs advanced AI to generate a comprehensive memo draft, incorporating facts, legal standards, and relevant precedents. Users have the flexibility to edit and refine the memo to ensure accuracy and compliance with firm standards.
Administrative Time Reduced: Lawyers saved an average of 6 hours per week on administrative tasks.
Market Adoption: Within the first six months, CaseBrainZ™ was adopted by over 18 law firms, including several top-tier firms.
Research Efficiency: Legal research processes became 70% faster, with more accurate results.
Revenue Growth: Contributed to a 130% increase in Litigiven’s quarterly revenue post-launch.
Monetization Potential: Developed a sustainable monetization model with a projected 30% increase in paid conversions upon MVP launch.
As a Lawyer,I want to search through as many sources as possible to find the most accurate legal findings that pertain to my case, so I can provide the best factual case possible. I want sources to cross-reference for deeper contextual search, preparing for argumentation properly, and to see relationships between sources to validate their accuracy.
As a Legal Clerk,I want to find accurate legal documents associated with cases I work on to support in document preparation and factual information.
As a Paralegal,I need a way to chase down citation leads, delve deeper into contexts and sources to prepare briefs, memos, and papers with the most accurate facts.
As a Potential Plantiff,I need to research similar cases to understand my own, helping me prepare properly and find the best law firms to represent me.
I led the qualitative user interviews with end users like attorneys, iterating on the design with the product manager between sessions. Users appreciated the simplicity and efficiency of the Citation Search Tool’s flow.
“Being able to input full legal propositions and get precise citations is a game-changer. It significantly reduces the time I spend on research.”
- Attorney, Xiaoyu Fan
“The citation graph visualization helps me understand the relationships between cases effortlessly. It’s incredibly intuitive and enhances my legal analysis.”
- Attorney, Ellia Scaling
Embracing rapid experimentation, our team committed to launching swift solutions to gain fast learnings and iterate effectively. We constantly engaged with users to assess which features succeeded and which needed refinement. This agile approach, coupled with the surge of AI advancements, underscored the importance of adaptability, user-centric design, and collaborative effort.
