Microjuris — Legal Intelligence, Simplified.
Wireframing and Prototyping
UI Design
Design Systems & Component Libraries
Web Application Development
API Development and Integration
AWS Infrastructure
AI Development
Microjuris has been in the market for over 30 years, assisting individuals, businesses, and institutions navigate the legal system with official, updated, and reliable legal information.They serve clients in Puerto Rico, Chile, Argentina, and Venezuela, offering a comprehensive search engine, a dedicated news channel, and a digital continuing legal education program.
Solution
Mitimiti was engaged to execute a comprehensive redesign and redevelopment of the existing SaaS platform, grounded that addressed both the technical limitations and users' pain points.
An extensive discovery phase, informed by both user and market research, allowed us to identify and prioritize the primary challenges their clients have faced over the past 30 years. During this phase we also created the roadmap for the technical revamp of the SAS company.
Design Principles for the New Platform
User-Centric: Prioritize the needs and preferences of the user throughout the design process.
Personalization: Tailor the experience to individual users, allowing for customization and adaptability.
Scalability: Design with the ability to grow or adapt to different scales and capacities, ensuring flexibility for future expansion.
Simplicity: Embrace simplicity in design to enhance usability, reduce complexity, and create a straightforward user experience.
From an extractive platform to a consumer platform using AI.
We transformed the platform from an extractive model to a consumer-focused experience, reshaping user interactions with an emphasis on personalization.
Drawing on insights from non-legal platforms, we proposed a the company adapt to a widely used model model where get daily recommendations based on their interactions with the system.
Daily recomendations utilize search patterns to dynamically provide new and relevant content of interest without equiring specific user querys. Machine learning strategies like personalization, Popular Items, personalized ranking, related items and personalized actiions for target engament.
Data pipeline
A new data pipeline was implemented that transforms all documents, regardless of their format (PDF, Word, etc.), into actionable search results using Elastic Search. This pipeline also generates any missing information, such as titles and summaries, utilizing AI to vectorize the content for training the existing chat model. This represents a significant improvement over the previous version, as users no longer need to download documents to read them; they can now access and read them online and ask the MJ chat any relevant questions about the content.
Delving deeper into the search.
One of the biggest pain points was the lack of organization in the search results. Microjuris has a large set of diverse data collections, which in the new product were grouped into tabs, making it easier to view large numbers of results. Additionally, dynamic filters were implemented to allow users to refine their searches by specific parameters, enabling them to find their results more quickly and efficiently.
Legal Expert-Guided AI Model Training
OpenAI is used to create a chatbot powered by a carefully selected and curated dataset. The refinement process involves meticulously defining ideal responses in collaboration with the professors, ensuring precision and expertise in the model's training. This rigorous approach guarantees that the chatbot delivers accurate and relevant legal information, enhancing the user experience.