Case Study
AI-Powered Law Essay Grading Platform
We built a cloud-based AI platform that automates the grading of law essays, delivering instant scores, detailed feedback, and customizable rubrics. The solution streamlines assessment for professors while helping students improve essay quality in real time.
70%
reduction in manual grading workload for professors

Location
70%
USA
Nov 2022 - Present
Industry
Education Technology | Legal Education
Services Used:
“Collaborating with team Code District was a great experience. They brought deep technical expertise and a problem-solving mindset to the development of our digital wallet platform. Their ability to integrate complex financial services while ensuring security and usability made a significant impact.”

AbdulRahman Rashid
Head Of IT, STCPay Bahrain

Objectives & Challenges
We designed and developed a cloud-based AI platform that automates the grading of law essays. The system evaluates submissions across legal accuracy, argument quality, structure, referencing, and grammar, generating instant scores, detailed feedback, and downloadable reports.
The platform streamlines essay evaluation for professors, institutions, and students, reducing manual grading time while improving consistency and transparency in assessment.
- Objectives:
- Automate grading of law essays with AI-driven accuracy.
- Provide criteria-based evaluation aligned with legal education standards.
- Offer instant, actionable feedback for students to improve.
- Enable professors to define custom rubrics and monitor performance trends.
- Build a scalable SaaS platform with role-based access and secure essay storage.
- Challenges:
- Ensuring AI accuracy for legal reasoning and citations (Bluebook/Harvard).
- Balancing automation with instructor oversight (manual overrides).
- Designing for multi-role workflows (admin, instructor, student).
- Integrating secure payment and subscription management.
Our Solution
We developed a full-stack platform combining AI essay evaluation, intuitive dashboards, and scalable cloud infrastructure.
Results & Impact
Technology Stack
- Frontend: React.js (responsive, role-based UI)
- Backend: FastAPI (scalable microservices architecture)
- AI Layer: GPT-4 / fine-tuned LLM trained on law essay datasets
- Database: PostgreSQL / Supabase (secure essay storage, user data)
- Integrations: Stripe/PayPal (billing), Turnitin API (plagiarism detection), TTS (voice feedback)
- Deployment: Vercel / AWS / Supabase
- Security: Role-based access, encrypted essay storage, GDPR-compliant

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