AI regal assisnent

Inspiration

Legal documents are terrifying. Whether it's a rental agreement, a freelance contract, or a confusing Terms of Service, most people just scroll to the bottom and click "I Agree" without understanding the risks.

We realized that professional legal advice is expensive and inaccessible for the average student or freelancer. We wanted to build a bridge—a tool that translates "Legalese" into plain English so people can sign documents with confidence, not confusion.

What it does

Our AI Legal Assistant acts as a personal document reviewer. Users can upload a PDF or paste text, and the AI will:

• Summarize the document in simple terms.
• Highlight Red Flags: Identify risky clauses or unfair terms.
• Answer Questions: Users can chat with the document (e.g., "Can my landlord kick me out without notice?").
• Suggest Edits: Recommend safer phrasing for contracts.

How we built it

We built the frontend using [Insert Framework, e.g., React/Next.js/HTML&CSS] to create a clean, minimalist interface.

For the backend, we used:

• [Insert AI Model/API]: To handle the natural language processing and legal analysis.
• [Insert Database]: To store user sessions securely.
• [Insert Automation Tool, e.g., n8n]: To handle the workflow between the document upload and the AI response.

Challenges we ran into

One of the biggest challenges was hallucinations. We had to ensure the AI didn't make up laws. We solved this by [explain how, e.g., refining the system prompts / restricting the AI to the context of the document provided].

We also struggled with parsing complex PDF formats, but we overcame this by using [mention a tool or library if applicable].

Accomplishments that we're proud of

We are really proud of the accuracy of the summaries and the UI design. As a team, getting the [specific feature, e.g., file upload] to work seamlessly with the AI API was a huge win for us.

What we learned

We learned a lot about Prompt Engineering—specifically, how to instruct an AI to act like a lawyer without being overly verbose. We also gained deep experience with [mention a specific tech tool you used] and how to integrate multiple APIs into a single workflow.

What's next for [Project Name]

• Mobile App: Building a dedicated mobile version for on-the-go scanning.
• Multi-Language Support: Translating legal documents into local languages.
• Speech-to-Text: allowing users to ask verbal questions about their contracts.

Built With

• base44