Mega Panda
Designed UX/UI for an AI-powered contract and case management platform for Topolski, Stanley & Associates — making complex legal workflows intuitive. From market analysis and user interviews through wireframing and interface design to feature integration including AI case diagnosis, lawyer oversight dashboards, and client engagement tracking.
Visit site ↗30-day retention
67%
Fewer clicks per task
60%
User satisfaction
4.5/5
User interviews
12
Services used
Challenge
Creating a comprehensive AI-driven legal case management platform that handles case diagnosis through artificial intelligence, enables data-driven decision making for lawyers, and streamlines client engagement — all while keeping the interface clear enough for non-technical legal professionals to use daily.
Approach
Market analysis of existing legal tech solutions, user interviews with lawyers and paralegals, competitor analysis of case management tools. Then wireframing, user flow mapping, and interface design — integrating AI case diagnosis, lawyer oversight panels, and client tracking into a cohesive product. Continuous testing and iteration based on user feedback.
Result
30-day retention jumped from 23% to 67%. User satisfaction score reached 4.5/5. The intuitive interface made AI-powered legal workflows accessible to attorneys who previously relied on manual case management.
Project phases
How we built it
1. Research
Market analysis of legal tech landscape, user interviews with lawyers and paralegals, competitor analysis of existing case management platforms. Identified key pain points and opportunities for AI integration.
2. Product Design
Wireframing, user flow mapping, and interface design. Feature integration: AI-powered case diagnosis, lawyer oversight dashboards, client engagement tracking, document management. Cohesive design system for the entire platform.
3. Testing & Iteration
Feedback collection from practicing attorneys, bug fixing, feature refinement based on real usage patterns, performance optimization. Continuous improvement cycle.
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