Corporate AI

InspirationInspiration

Many companies, especially startups and small businesses, struggle with legal documentation. Drafting agreements, reviewing contracts, or checking compliance takes significant time and money. The goal of this project was to build an AI-based system that provides fast and affordable legal support, so businesses can handle documentation confidently without relying on costly legal services for every task.

What it does

What It Does

Corporate AI: Legal-Assist is a web platform that automates and accelerates legal documentation for businesses. Users can upload legal files, ask questions about them, or generate new documents from scratch. The system analyzes the content, retrieves relevant clauses and regulations, and produces accurate legal-style outputs without manual drafting.

How we built itHow We Built It

The project is built as a static website connected to an n8n backend that performs all AI operations. The frontend focuses purely on user interaction, while the backend handles workflow logic and communication with the language model.

The UI collects input from the user.

A request is sent from the browser to an n8n webhook endpoint.

The webhook triggers a workflow that processes the input.

The workflow calls the OpenAI node with structured system prompts.

n8n formats the response and sends it back to the static website.

The website renders the output to the user.

Architecture Component Technology Frontend Static HTML + Tailwind CSS + JavaScript Backend n8n workflows AI Processing OpenAI model inside n8n Deployment Vercel (frontend) + n8n Cloud/Self-hosted Communication Webhook REST API

Challenges we ran intoChallenges We Ran Into

Long legal inputs exceeded token limits and slowed responses, so we added chunking and similarity-based retrieval.

AI responses were inconsistent at first, so we standardized prompts and formatting rules for stable legal-style output.

Small JSON formatting mistakes in n8n broke the UI, so we added validation and safe fallback responses.

Execution time increased with bigger documents, so we optimized the workflow and reduced unnecessary nodes.

Handling sensitive text required strict privacy, so we disabled logging and avoided storing user data.

Accomplishments that we're proud ofAccomplishments That We're Proud Of

Built a working legal-assistant system using only a static website and an n8n backend, without a traditional server.

Achieved consistent legal-style outputs by refining prompts, workflows, and validation rules.

Optimized performance to handle long documents with chunking and similarity search.

Created a simple user experience that returns reliable results with just one input field and a button.

Designed workflows that are modular and reusable for future features.

What We Learned

How to connect a static website to an n8n backend using webhook APIs.

How to structure prompts and system instructions to reduce hallucination and maintain a legal tone.

How to handle long documents using chunking, embeddings, and similarity matching.

How to validate inputs and outputs to prevent workflow failures.

How to design a simple UI that still feels reliable and professional

What's next for Corporate AIWhat's Next for Corporate AI

Add multilingual support so contracts and summaries can be generated in multiple regions.

Introduce a built-in document signing workflow for faster contract completion.

Enable collaboration features like shared editing and version history.

Expand compliance checks for regulations such as GDPR, HIPAA, SEBI, and company law.

Make the workflows modular so enterprises can plug in their own policies and legal templates.

Built With

• n8n
• vercel
• vscode