Henrique "Mip" Marinho

Full-time Lawyer| Post-graduted in Legal Operations | Specialist in Brazil's Social Security | Legal Consultant in Software Automation Projects

That's me

About Me

Hi! I'm Henrique Marinho, a lawyer who enjoys innovation, technology, progressive laws, cinema, and games in general.

I am currently studying programming by myself through online courses, such as CS50, Data ICMC SQL (from Brazil's USP University), and I plan to take Javanauta Academy and the CS193p Swift course by Stanford University. I also intend to start an Information Systems degree in 2026.

My main goal is to become a full-stack developer, but the data science field is also very appealing to me, as well as mobile development. I will probably decide with time. For now, I need to maintain my focus, improving my studies and practicing programming.

Regarding my current job, I have 6 years of experience in the social security field, working as a lawyer at Marcos Inácio Advogados, one of Brazil's largest law firms, and as a consultant for lawsuits against the federal government—especially involving injury law, retirements, death pensions, paid maternity leave, and disability benefits. I have worked on more than 1,000 cases in federal and supreme courts, handling processes from beginning to end.

In the same field, I have acted as a legal consultant in automation projects aimed at increasing the legal team's performance, eliminating redundant tasks, providing fast and safe task distribution, and applying reinforcement learning to teach algorithms to recognize legal terms and generate tasks based on the contents of documents or legal acts.

Beyond my professional life, I love watching horror and sci-fi movies, reading Eastern European literature, and playing video games—mainly on the Nintendo Switch 2.

Prominent Cases

In this topic, I will use fictional names, for client policy.

Mia

Elizabeth Wilson vs INSS (Instituto Nacional do Seguro Social)

I represented a disabled client who lost her initial benefit. Through deep investigation, I found her benefit was wrongfully granted; she was entitled to a permanent death pension from her deceased father. I won the federal case, securing five years of back payments and a new, permanent lifetime pension.

Mia

Michel Freeman vs CEBAP and INSS (Instituto Nacional do Seguro Social)

This case involved an 83-year-old client who noticed unexplained deductions from his retirement payments. After a thorough investigation, I discovered that a private association had been unlawfully withdrawing funds for nearly four years without his consent. Despite the INSS claiming the deductions were authorized, no signed document existed. I filed a lawsuit against both the association and the INSS, and after an online hearing, we won — recovering all the wrongfully deducted payments plus compensation for moral and material damages.

Projects

Lawtech

Automation project for juridical team high performace

In this project, I worked as a consultant for the legal team to optimize daily tasks. Using our own API and Python, we trained a model to recognize patterns in legal documents, reinforced with data from over 1,000 spreadsheets for accuracy. We also implemented NLP so the model could understand the context of legal documents and automatically generate relevant tasks, such as identifying potential benefits or checking case deadlines.

Project Hotei

Project Hotei

This project was part of my post-graduate research, focused on developing an AI assistant for drafting petitions, providing legal insights, and supporting clients through personalized service powered by automated profiling and document analysis.

Roraima Indigenous Project

Roraima State Indigenous People Project

A social initiative aimed at expanding legal assistance to Indigenous communities in northern Brazil, especially the Yanomami tribe. The project focused on helping with remote benefit applications, maternity leave rights, and retirement pensions in regions with limited internet access.

And inside this portfolio, i have a small experimental project

On the dashboard section, I've created a mini dashboard analyzing the composition of the U.S. Federal Courts by judges, Supreme Court decisions, and cases per year, generating insights for students and visitors.

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