---
title: Precision Legal Intelligence AdeemAlotaibi
emoji: ⚖️
colorFrom: gray
colorTo: red
sdk: docker
pinned: false
---
## ⚖️ LEX - Legal Expert Agentic System
LEX is an AI-powered legal analysis system designed to bridge the "Access to Justice Gap". It helps users navigate intimidating legal documents and proceedings by providing immediate clarity through a sophisticated multi-agent workflow.
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## 🏗️ System Architecture: Optimized Parallel Pipeline
LEX utilizes an AISA (Agentic Interactive System Architecture) workflow that runs 6 specialized agents across 4 logical phases. To ensure a professional and responsive user experience, the system employs Python's ThreadPoolExecutor to reduce processing time from ~20 seconds to just 10–12 seconds.

## 🚀 Setup & Installation
- **Prerequisites**
Python 3.9+
OpenAI API Key (Optimized for gpt-4o-mini) 
Required Libraries: pydantic, faiss-cpu, sqlite3, concurrent.futures

- **Installation**
**Clone the repository:**
Bash: git clone https://huggingface.co/spaces/AISA-Framework/LEX-AdeemAlotaibi
cd LEX-AdeemAlotaibi

**Install dependencies:**
Bash: pip install -r requirements.txt

**Configure Environment:**
Set AISA_DETERMINISTIC=1 for reproducible test results



## 🛠️ Usage

LEX is designed to be intuitive for users facing legal stress.The system processes messy, real-world text and converts it into a structured legal analysis.

### 1. Inputting a Case
Users can input their legal situation in the text area (up to 8,000 characters).This can include:
* **Narratives:** Describing a dispute or situation in plain language.
* **Document Text:** Pasting the content of a termination notice, contract clause, or court judgment. 
* **Multilingual Input:** Input can be in Arabic or English; the system is robust enough to categorize and analyze both. 

### 2. The Analysis Process
Once submitted, the system triggers the **AISA Workflow**: 
* **Instant Identification:** The system immediately identifies the "Intent" (e.g., is this a notice, a contract, or a judgment?). 
* **Plain Language Explanation:** It translates complex legal jargon into an easy-to-understand summary using the RAG tool. 
* **Automated Quality Check:** The Critic Agent reviews the analysis. If it misses a key legal point (like a specific 90-day notice rule), it automatically re-runs the logic to ensure accuracy. 

### 3. Understanding the Output
The user receives an **Analysis Report** containing:
* **Summary:** A clear explanation of "what is happening."
* **Risk Assessment:** A visual indicator of the risk level (Low, Medium, or High). 
* **Action Plan:** Targeted next steps (e.g., "mentions notice period violation" or "first action step urgency=high"). 
* **Key Points:** Critical legal facts detected by the Reasoning Agent.
  
### 4. Example Scenarios
| Scenario | Expected Output |
| :--- | :--- |
| **Landlord Notice** | Intent: `Notice`, Risk: `Medium`, Action: Notice period validation. |
| **Salary Reduction** | Intent: `Contract`, Risk: `Medium`, Action: Wage violation check. |
| **Court Judgment** | Intent: `Judgment`, Risk: `High`, Action: Urgent payment/appeal steps. |


Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference