Banca de QUALIFICAÇÃO: CRISTIANE CARLA DE OLIVEIRA AZEVEDO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : CRISTIANE CARLA DE OLIVEIRA AZEVEDO
DATE: 15/12/2025
TIME: 14:00
LOCAL: meet.google.com/qwa-stnq-wsb
TITLE:

EASY NOTIFICATION.

AN ARTIFICIAL INTELLIGENCE-BASED SOLUTION TO OVERCOME LANGUAGE BARRIERS IN THE ACCESS TO JUSTICE.

KEY WORDS:

Entrepreneurial Science; Science, Technology and Innovation; Culture of Innovation; Technology Businesses; Digital Accessibility; Automation of Judicial Processes; Artificial Intelligence in the Judiciary; Legal Communication, Legal Design.

PAGES: 130
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
SUMMARY:

Access to justice, a fundamental right guaranteed by the 1988 Federal Constitution, requires not only the ability to enter the judicial system but also the effective understanding of procedural communications. However, in cases involving citizens without legal representation (exercising jus postulandi) in the Federal Special Courts, significant barriers persist: the technical legal language of notifications, the manual nature of communication procedures, and the absence of digital accessibility resources. This dissertation examines these gaps and proposes the Intima Fácil platform, a technological solution that integrates automated notifications, plain-language conversion via Generative Artificial Intelligence, and accessibility features compliant with the Web Content Accessibility Guidelines (WCAG) 2.1. These guidelines, developed by the W3C, set international standards to make digital content understandable, operable, and robust for people with disabilities, ensuring that the platform adequately supports users with visual, auditory, motor, or cognitive limitations. The research, applied in nature and based on a mixed-methods approach, is structured into two dimensions: technological development (ideation, prototyping, and technical validation) and innovation management (problem-hypothesis validation, market analysis, and business modeling. The results achieved at this qualification stage include: statistical analysis of National Council of Justice (CNJ) data showing that the Special Courts are more sensitive to demand shocks; delivery of medium-fidelity prototypes; market sizing (TAM: 15,321 judicial units; SAM: 1,632 Special Courts; SOM: 59 Federal Special Courts within TRF5); and business modeling using the Business Model Canvas. For the final stage, a functional MVP with TRL 7 maturity (system prototype demonstrated in an operational environment) will be delivered, along with an empirical validation protocol involving court staff and unrepresented litigants, approved by the Research Ethics Committee, to measure perceived usefulness and reductions in processing time. Preliminary results indicate the technical and market feasibility of the solution, and final validation is expected to demonstrate the alignment between operational efficiency and communicational inclusion for vulnerable populations.

COMMITTEE MEMBERS:
Interno - 1555898 - DIEGO RODRIGO CABRAL SILVA
Interno - 6350797 - EDGARD DE FARIA CORREA
Interna - 1753896 - ZULMARA VIRGINIA DE CARVALHO
Externo ao Programa - 1358062 - MARCO BRUNO MIRANDA CLEMENTINO - UFRN