
AI-Aflat: Democratizing Access to Romanian Law with Semantic AI
Romania's first AI Legal Assistant that understands intent, not just keywords—translating complex legislation into clear answers for every citizen.
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At A Glance
An AI assistant that turns dense legal jargon into clear answers about your rights - in seconds it shows you which provisions apply to you and where to read them, instead of hours spent searching through legislation.
Note: AI-Aflat.ro is an information tool, not legal advice. AI-generated answers can be incomplete or out of date and should be checked against the official text of the legislation. For a specific situation, consult a lawyer or the competent authority.
100%
Legislation coverage (Real-time updates with Official Gazette).
0%
Legalese required (Users search in natural language).
< 1 Sec
Time to query thousands of pages of Romanian Law.
Pro-Bono
A social project built entirely by volunteers to support civic education.
The Challenge: The Language Barrier of the Law
"The law applies to everyone, but is understood by few."
The Context: Romanian legislation is vast, constantly changing, and written in dense technical language. For the average citizen (or even non-specialist lawyers), finding the specific article that applies to a real-life situation is a daunting task.
The Problem:
- Keyword Failure: Traditional search engines fail if you don't know the exact legal term (e.g., searching for 'fired' won't find articles about 'desfacerea contractului de muncă').
- Accessibility: The Official Gazette is static and hard to navigate.
- Civic Gap: Lack of legal understanding leads to vulnerability.
The Goal:
To build a 'Legal Translator'—an AI that understands the meaning behind a user's question and retrieves the exact legal basis, acting as a free 24/7 legal assistant.

The Solution: Semantic Search & Vector Databases
We moved beyond simple database queries to build a Semantic Intelligence Engine.
Intent-Based Search (NLP)
Vector Embeddings: We converted the entire corpus of Romanian legislation into vector embeddings. When a user asks a question, the system searches for conceptual similarity, not just matching words.
Natural Language Interface: Users can ask questions as if speaking to a friend (e.g., 'My neighbor blocked my driveway'), and the AI identifies the relevant property laws.
Real-Time Legislative Alerts
Smart Newsletter: The system monitors legislative changes. Instead of spamming users with every update, it uses AI to categorize changes (Health, IT, Real Estate) and alerts users only to what matters to them.
Summarization Engine: Complex ordinances (e.g., 'ORDIN nr. 1.677') are automatically summarized into digestible bullet points.
Educational Focus
Plain Language Explanations: The AI doesn't just dump text; it explains the law simply.
Source Verification: Every answer cites the specific law, ensuring trust and accuracy.
Key Features Delivered
- Legal 'Google': A fast, responsive search engine dedicated to Romanian Law.
- Legislative Monitor: Automated tracking of the Official Monitor (Monitorul Oficial).
- Expert Validation: The system was fine-tuned with input from legal advisors to ensure accuracy.
- Cross-Platform Access: Fully responsive web application optimized for mobile use.
The Results & Impact
- Civic Empowerment: Thousands of users can now defend their rights without expensive initial consultations.
- Media Recognition: Endorsed by key figures like Judge Cristi Danilet (VeDemJust) and tech journalists (Marian Andrei, iLikeIT).
- Proof of Concept: Validated the use of Sapio AI and advanced vector search in a high-stakes, high-accuracy domain.

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Technical Spotlight (For the CTOs)

- AI Engine: Vector Search / Semantic Embeddings (LLM integration).
- Backend: Python (FastAPI/Django) for heavy data processing.
- Infrastructure: Scalable cloud architecture to handle massive text corpuses.
- Partners: Built with support from Sapio AI for computing power.

AI-Aflat
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Services used in this project
The services behind this build. See what each one covers and how it would apply to your case.
Sector
Legal tech
