Better Call Saul AI

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Inspiration

Navigating the legal system can feel overwhelming, especially when faced with complex laws and legal jargon. For many Quebec citizens, understanding their rights is a challenge that often requires expensive consultations or hours of research. Traditional legal resources can be dense, inaccessible, or simply not tailored to everyday legal concerns.

That's where Better Call Saul AI comes in. Inspired by the need for accessible legal guidance, our AI-powered assistant simplifies legal information without losing its accuracy or nuance. Just as a good lawyer translates legal language into clear advice, Better Call Saul AI breaks down Quebec’s laws in a way that’s easy to understand—so you can know your rights and make informed decisions, anytime.

What it does

Better Call Saul AI is redefining legal accessibility by combining cutting-edge AI with real-time information retrieval. Unlike traditional legal resources that can be dense, outdated, or require costly consultations, our AI-powered assistant delivers precise and reliable legal insights tailored for Quebec citizens—right when you need them.

At its core, Better Call Saul AI is built on a powerful custom AI model, enhanced with:

✅ Real-Time Precise Legal Information– Our AI uses its own personally built model to give our citizens legal information that is sure to be accurate and relevant. ✅ Live Transcription & Translation – With Deepgram integration, our system can transcribe and translate legal inquiries in real time, making legal help more accessible than ever. ✅ Fast & Intuitive Interface – Built using React, Vite, and TypeScript, our web app ensures a seamless and user-friendly experience, optimized for speed and performance.

No complex legal jargon. No waiting for an appointment. Just clear, AI-driven legal guidance—whenever you need it.

How we built it

The simplicity of Better Call Saul AI hides a deep, well-crafted system designed for accuracy, accessibility, and efficiency. Our development approach focused on three core pillars: precision, user-friendliness, and cultural relevance.

🔹 Foundation & Frontend: We started with a Tempo Labs template to kickstart our project. From there, our Lead Fullstack Developer, Adam, continuously refined and expanded the platform using React, Vite, and TypeScript, ensuring a smooth and responsive user experience.

🔹 AI & Backend: Behind the scenes, Lead Backend Developers, Nessrine and Ayoub, worked tirelessly to perfect our AI. Using real-time web scraping and NLP, they built a system that provides accurate, up-to-date legal answers tailored to Quebec laws.

🔹 Accessibility & Localization: Our final team member, Jordan, ensured that Better Call Saul AI goes beyond just legal accuracy. He integrated speech-to-text transcription with Deepgram, making sure our AI understands Quebec slang, regional accents, and everyday language, making legal guidance accessible to everyone.

Every line of code and every AI decision was built with one goal in mind: empowering Quebec citizens with instant, reliable legal knowledge.

Challenges we ran into

Building Better Call Saul AI came with its own set of unique challenges. As students with limited resources, we had to push the boundaries of efficiency, accuracy, and accessibility while staying true to our vision.

🔹 Refining the Website for Speed & Usability – Creating a fast, responsive, and intuitive UI with React, Vite, and TypeScript meant optimizing every aspect of our front-end while ensuring seamless user interaction.

🔹 Working with Limited Resources – As a student-led team, we had to be strategic in using free-tier services, open-source tools, and efficient development workflows to build a high-quality AI without big-budget infrastructure.

🔹 Building a Web Scraper for Legal Data – Legal information is vast and constantly evolving. Developing a custom scraper to extract the most relevant, up-to-date Quebec legal information was a major breakthrough for our AI’s accuracy.

🔹 Real-Time Voice Chat Integration – Implementing Deepgram’s live transcription and speech recognition posed challenges in handling accents, slang, and varying speech patterns, but we fine-tuned it for precise, user-friendly responses.

🔹 Balancing Our Time as Students – Juggling coursework with development was no small feat. Through efficient task management and teamwork, we kept the project moving forward while maintaining a healthy balance.

Through problem-solving, constant iteration, and a passion for accessibility, we overcame these challenges to create an AI that empowers Quebec citizens with instant, reliable legal knowledge.