AI-Powered Sports Contract Analysis

Helping athletes, agents, coaches, and parents explore contract terms, identify potential concerns, and organize documents through a structured AI-assisted review workflow.

Client

Image 4 Sports Agency

Industry

Sports Tech / AI

Solution

AI contract intelligence platform

Overview

Making Sports Contracts Easier to Navigate

Sports contracts contain terms that can be difficult to interpret and compare. For athletes, agents, coaches, and parents, reviewing these documents often involves searching through lengthy files, coordinating professional advice, and managing information across emails and folders. We developed Sportiv.ai to support the initial review process. Users can upload contracts, receive AI-generated findings organized by clause category and severity, and keep their documents and analysis history in one place. The platform combines a structured sports contract review framework, background document processing, credit-based billing, and reporting tools. Its purpose is to help users identify areas for closer examination and prepare more focused questions for qualified legal professionals.

Project at a Glance

The Challenge

Our client had a strong idea, but the platform needed to solve major gaps in how sports contracts were reviewed, stored, and understood.

The Solution

An AI-based contract intelligence platform, complete with structured clause detection and secure contract management.

Services

Technologies

AI contract analysis engine, Worker-based processing system, Stripe

Challenge

The Challenging Part

## Bringing Structure to Sports Contract Review The project needed to address both the difficulty of understanding contract language and the practical work of managing documents and analyses.

Complex Contract Terms | Users needed help locating relevant provisions and understanding which terms might warrant closer attention. Sports-Specific Review Requirements | The review framework needed to account for sports-related contract categories and requirements rather than rely solely on general-purpose document summaries. Fragmented Documents and Review History | Contracts and related information were spread across emails and local files. Users needed a central place to retrieve documents, revisit findings, and access previous reports. Document and Language Variations | Differences in document structure and language added complexity to processing and presenting findings consistently.

Inside the Product

A closer look

Solution

How the Solution Worked

## A Connected Workflow for AI Sports Contract Analysis We built Sportiv.ai around a straightforward process: upload a contract, submit it for analysis, explore the findings, and save or export the results.

Structured Clause Analysis | The analysis engine uses a 42-category sports contract review framework to organize relevant terms and potential concerns. Background Document Processing | Contract analysis runs through a worker-based processing system that handles document reading, AI analysis, retries, and result storage. Centralized Contract Library | Contracts can be organized by attributes such as sport, and language, making previous work easier to retrieve. Credit-Based Payments | Stripe integration supports payments, while the platform manages credit balances, invoices, transaction history, and deductions following analysis.

Core Technologies

We used the following technologies to deliver this project.

Python FastAPI Tailwind CSS SWR Next.js BullMQ PostgreSQL OpenAI Socket.io Tesseract pdfplumber Stripe SDK Oblio Puppeteer Recharts Framer Motion Sentry Railway

Results

Real Impact for the Business

## Delivered Capabilities A More Organized Approach to Contract Analysis

Contract review time | reduced from days or weeks to minutes 42-clause | sports law taxonomy introduced for structured contract analysis Five major sports federations | FIFA, FIBA, IHF, FIVB, and World Rugby Multi-language support | enabled English and Romanian users Centralized contract library | replaced scattered files and email attachments Credit-based payment model | made contract analysis more accessible

Client Testimonial