End-to-End Project
A complete overhaul of the user experience (UX) and user interface (UI) of a core internal system used to manage trademarks, patents, legal cases, domain names, and renewals for more than 40,000 clients.
This project redesigns AlessBO, the internal system used for over four years at “Estudio Alessandri,” transforming it into AlessandriPI, a modern, reliable, and efficient platform tailored to demanding legal workflows.
The redesign focuses on four pillars: clarity, automation, reliability, and operational speed. It involved extensive research with 32 users in different roles, identifying key pain points such as unreliable searches, fragmented data, excessive manual work, and a lack of trust in the system.
The research and analysis revealed that the challenges were not caused by a single issue, but by a critical combination of factors:
Information broken down by module
An inflexible and ineffective search
Reports that are difficult to generate and validate
Lack of a reliable deadline alert system, increasing operational risk and the need for manual oversight
Low confidence in system data for decision-making
Many repetitive tasks performed manually
AlessandriPI is redefining how the firm organizes and accesses legal information, prioritizing structure, clarity, and the reduction of operational friction.
The most significant change was redefining the platform’s core architecture. In AlessBO, legal entities (trademarks, patents, domains, and litigation) were linked in isolation, fragmenting information and making it difficult to understand a client’s full picture.
In AlessandriPI, the model is reversed: the client becomes the central container, housing all related legal entities.
The main goal is to improve how legal teams access, understand, and use information, thereby reducing friction and operational risk.
Reduced time required to collect complete customer information
Less reliance on Excel and external validations
Improved clarity and structure of information for reviews and meetings
Greater confidence in system data for decision-making
Risks associated with critical deadlines
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