AI Legal Saarthi – A CrewAI‑Multi‑Agentic Product for the Common Man

Published by TechToGeek.com

In India, legal information is often scattered, complex, and intimidating. For a common person, even understanding basic legal procedures—rent agreements, consumer complaints, legal notices, or compliance basics—can feel overwhelming. This gap between legal knowledge and everyday people is exactly where AI Legal Saarthi was born.

AI Legal Saarthi is a CrewAI‑Multi‑Agentic Product designed as a personal legal assistant that simplifies legal understanding using AI. Built with Python and the CrewAI framework, this project demonstrates how multi‑agent collaboration can deliver structured, reliable, and human‑friendly legal guidance—without replacing lawyers, but by empowering users with clarity.

This article walks you through the idea, architecture, stories from real usage, installation steps, how it works internally, and answers common questions. The complete source code is open‑sourced and available on GitHub for developers who want to learn, extend, or contribute.


Legal awareness should not be a privilege. Most people hesitate to approach a lawyer for small doubts due to cost, fear, or lack of clarity. AI Legal Saarthi acts as a first‑level legal guide, helping users understand:

  • What a legal term actually means in simple language
  • Which law or act applies to their situation
  • What documents are usually required
  • What next steps they should consider

By using a CrewAI‑Multi‑Agentic Product approach, AI Legal Saarthi ensures that answers are not random or hallucinated, but structured, role‑driven, and contextual.


Unlike single‑prompt chatbots, AI Legal Saarthi is built using multiple specialized AI agents that work together like a small legal team. Each agent has a clear responsibility.

In this CrewAI‑Multi‑Agentic Product, agents collaborate to:

  • Understand the user’s legal query
  • Identify the relevant legal domain
  • Retrieve structured legal reasoning
  • Simplify complex language
  • Provide actionable next steps

This separation of responsibility improves accuracy, explainability, and user trust.


Technology Stack Used

AI Legal Saarthi is intentionally built using accessible and modern tools:

  • Python – Core development language
  • CrewAI – Multi‑agent orchestration framework
  • Groq LLM (Free Tier) – Fast and efficient inference
  • Modular Agent Design – Easy to extend and customize

The goal was to prove that even with Groq’s free tier, a powerful CrewAI‑Multi‑Agentic Product can be built without heavy infrastructure costs.


Story 1: The Confused Tenant

A small shop owner wanted to know whether an 11‑month rental agreement required registration. AI Legal Saarthi broke the answer into:

  • What the law says in simple words
  • When registration is mandatory
  • Risks of not registering
  • Practical suggestions

Instead of legal jargon, the user received clarity in plain language.

Story 2: The First‑Time Entrepreneur

A freelancer planning to launch a personal website asked about legal compliance. The system explained:

  • Difference between individual vs sole proprietorship
  • GST applicability basics
  • When CA services are usually needed

This is where the CrewAI‑Multi‑Agentic Product shines—each agent contributes a focused perspective.

Story 3: Everyday Legal Curiosity

A user asked about consumer complaint procedures. The assistant provided:

  • Applicable consumer protection act
  • Step‑by‑step complaint flow
  • Online and offline options

AI Legal Saarthi doesn’t replace lawyers—it prepares users to ask better questions.


Installation Guide:

some screenshots of the app.

CrewAI‑Multi‑Agentic Product
CrewAI‑Multi‑Agentic Product
CrewAI‑Multi‑Agentic Product
CrewAI‑Multi‑Agentic Product

You can run AI Legal Saarthi locally by following these steps.

Step 1: Clone the Repository

git clone https://github.com/subasen85/AI-Legal-Saarthi.git

cd AI-Legal-Saarthi

Step 2: Create a Virtual Environment

python -m venv venv

source venv/bin/activate # Windows: venv\\Scripts\\activate

Step 3: Install Dependencies

pip install -r requirements.txt

Step 4: Configure Groq API Key

Create a .env file and add:

GROQ_API_KEY=your_api_key_here

Step 5: Run the Application

python main.py

You now have a working CrewAI‑Multi‑Agentic Product running locally.


How It Works (Internal Architecture)

AI Legal Saarthi follows a structured multi‑agent workflow.

Agent Roles

  1. Query Understanding Agent – Interprets user intent
  2. Legal Domain Identifier – Maps query to relevant law
  3. Legal Reasoning Agent – Generates structured legal logic
  4. Simplification Agent – Converts legal language into plain English
  5. Response Coordinator – Produces the final user‑friendly answer

CrewAI Orchestration Example

fromcrewaiimportAgent, Crew

legal_analyst = Agent(

role=”Legal Analyst”,

goal=”Analyze applicable laws”,

backstory=”Expert in Indian legal framework”

)

simplifier = Agent(

role=”Simplifier”,

goal=”Explain legal concepts simply”,

backstory=”Focuses on common man understanding”

)

crew = Crew(

agents=[legal_analyst, simplifier],

tasks=[“Analyze query”, “Simplify output”]

)

crew.kickoff()

This collaborative design is the backbone of the CrewAI‑Multi‑Agentic Product approach.


Why This Product Is for the Common Man

AI Legal Saarthi was designed with empathy:

  • No heavy legal jargon
  • Clear step‑by‑step explanations
  • Honest limitations
  • Encouragement to consult professionals when needed

Even with only Groq’s free tier, the system delivers fast and meaningful responses.


Open‑Source and Community‑Driven

The full codebase is available here:

👉 https://github.com/subasen85/AI-Legal-Saarthi.git

If you like this CrewAI‑Multi‑Agentic Product and want to develop it further—better UI, more agents, paid LLMs, or production deployment—you can reach out via the Contact Us page on TechToGeek.com.

If you are interested in my skills and collaborations, feel free to connect through the same channel.


Future Vision

This project also serves as a learning reference for developers exploring:

  • CrewAI architecture
  • Multi‑agent design patterns
  • AI for social impact

The long‑term vision is to evolve AI Legal Saarthi into a robust legal companion while staying transparent, ethical, and user‑centric.


Frequently Asked Questions (FAQ)

No. It is an informational assistant designed to improve legal awareness.

What makes this a CrewAI‑Multi‑Agentic Product?

Multiple AI agents collaborate with defined roles instead of a single chatbot prompt.

Which LLM is used?

Groq LLM using the free tier.

Can I deploy this commercially?

Yes, subject to license terms. Review the GitHub repository for details.

Can this be extended?

Absolutely. New agents, better UI, paid models, and APIs can be integrated easily.


Final Thoughts

AI Legal Saarthi is a practical demonstration of how a CrewAI‑Multi‑Agentic Product can solve real‑world problems with empathy and intelligence. Built for learning, impact, and openness, it reflects the belief that AI should simplify life—not complicate it.

If this project resonates with you, explore the code, share feedback, or collaborate through TechToGeek.com.

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