Case Study

Deep Consent

Hackathon-built assistant that drafts legally aligned consent agreements with DeepSeek LLM tooling, cutting review time for compliance teams.

Next.jsNext.js
Tailwind CSSTailwind CSS
FastAPIFastAPI
PostgreSQLPostgreSQL
DeepSeek APIDeepSeek API
LangChainLangChain

Overview

DeepConsent is the prototype we shipped at the Fall in Love with DeepSeek hackathon to automate the way organizations generate consent agreements.

Problem

  • Drafting consent agreements manually consumes valuable legal time.
  • Inconsistent clauses create compliance risk between documents.
  • Teams lack tooling to highlight unfair or outdated terms quickly.

Solution

  • DeepSeek models assemble industry-aware agreement drafts.
  • LangChain flows manage clause insertion and regeneration.
  • Editable workspace lets reviewers adjust outputs instantly.

Research & Techniques

  • Mapped regulatory requirements to clause templates.
  • Tuned prompts for legal tone and accuracy.
  • Built Next.js and FastAPI stack for rapid hackathon iteration.

Results

  • Earned praise from hackathon judges for practical impact.
  • Validated roadmap for unfair-term detection with mentors.
  • Demonstrated agreement generation in under a minute.

Key Features

Tap a feature to explore how it supports the experience.

AI-generated consent agreements tailored to industry context

Tech Stack

Next.jsTailwind CSSFastAPIPostgreSQLDeepSeek APILangChain