Ministry of Higher Education & Scientific Research

“Legal and regulatory knowledge is only useful when teams can access it, search it, understand it, and act on it quickly. The goal was to turn complex information into institutional intelligence.”Strategic AI Initiative — Tunisia

GenieOps collaborated with the Tunisian Ministry of Higher Education and Scientific Research on AI innovation initiatives focused on legal and regulatory applications, supporting policy analysis, decision-making, and modernization of public-sector legal workflows.

The Challenge

Public-sector legal teams were dealing with complex information, fragmented sources, slow document review, and limited access to structured regulatory knowledge.

Legal Review Was Too Slow

Manual review of legal and regulatory documents could take weeks, delaying analysis and decisions.

The system needed to reduce the time required to classify, search, understand, and extract meaning from large volumes of legal and administrative documents.

Knowledge Was Fragmented

Important legal and regulatory information was spread across multiple systems and difficult to access.

Teams needed a centralized intelligence layer where legal knowledge could become searchable, structured, and reusable across institutional workflows.

Policy Analysis Needed AI Support

Decision-making was slowed by manual research, scattered records, and limited access to regulatory insight.

The initiative required AI that could support policy analysis, document intelligence, legal classification, and grounded responses while respecting governance and institutional constraints.

Our Approach

We treated the initiative as a legal intelligence system: collect institutional knowledge, structure the documents, retrieve grounded answers, and support decision-making.

01

Structure legal knowledge.

  • ·Document review
  • ·Classification
  • ·Knowledge extraction
Structure
02

Build grounded AI retrieval.

  • ·RAG search
  • ·Legal context
  • ·Grounded answers
Retrieve
03

Adapt AI to legal language.

  • ·Arabic NLP
  • ·French NLP
  • ·Legal semantics
Understand

The Transformation

The goal was not to add AI on top of legal documents. It was to create a grounded intelligence layer that could help teams search, classify, analyze, and reuse institutional knowledge.

The Outcome

The initiative created a foundation for AI-driven legal intelligence in the public sector: faster access to information, stronger knowledge sharing, and more efficient policy and regulatory analysis.

From fragmented legal information to searchable institutional intelligence.

Legal and regulatory information became easier to classify, search, extract, and reuse across institutional teams.

AI

Document Intelligence

Legal documents can be reviewed, classified, searched, and transformed into structured knowledge faster.

RAG

Grounded Legal Search

Teams can access a centralized knowledge base with AI responses grounded in relevant legal and regulatory documents.

“The value of AI in the public sector is not replacing expertise. It is giving expert teams faster access to the knowledge they already need to make better decisions.”

Strategic AI Initiative — Tunisia

The founder's perspective

Legal and regulatory knowledge is only useful when teams can access it, search it, understand it, and act on it quickly.

Legal and regulatory knowledge is only useful when teams can access it, search it, understand it, and act on it quickly. The goal was to turn complex information into institutional intelligence.

AI
Strategic AI Initiative
Tunisia
Questions before building public-sector AI systems.

For institutions, legal teams, research organizations, and public-sector leaders exploring AI for document intelligence, policy analysis, knowledge bases, or regulatory workflows.

AI is only powerful when it is grounded in the knowledge that matters.

If your organization manages complex legal, regulatory, research, or institutional knowledge, we can help you turn scattered documents into a searchable AI intelligence system built for real decision support.

We build AI systems where accuracy, structure, and governance matter.
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