Inspiration
My inspiration was coming from job posting. I've seen some legal firms searching for Agentic AI builders to enhance their securities and privacies with their clients, and I thought: Why not building an agent where lawyers could prepare clients' legal cases and communicate with them inside ONE system?
What it does
It's job is having a chatbot UI with multiple LLMs as selections for lawyers to prepare legal cases based on their preferences, generate their discussion with LLMs as PDF and send it to their clients.
How we built it
Crafted with React and Typescript, with Tailwind CSS polishing the UI
Challenges we ran into
Deploying on Railway and configuring Splunk Enterprise took a lot of time during development, Despite the product was already existing.
Accomplishments that we're proud of
Open-weight LLMs implementation and PDF generation. It was a big step for our users be able to train their data locally without any compromises.
What we learned
Backend took more time than I anticipated it. In the future, I will give more time buffer on configuring backend traffic.
What's next for LegalAI
If possible, I want to build it as full-stack application with FastAPI as backend AND Docker deployable.
Built With
- auth0
- jspdf
- react
- typescript
- zustand
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