This project aimed to make trademark registration more accessible by simplifying the process for users and removing the need for legal intervention. To enhance accuracy, we incorporated AI-powered error detection using large language models (LLMs) to analyze inputs in real-time and catch common mistakes. Additionally, we designed the platform to be scalable, enabling WizardIP to license the technology to legal firms, allowing them to automate and streamline their own registration practices.

We implemented GPT-based LLMs to provide users with real-time guidance throughout the trademark registration process, ensuring a smooth and error-resistant experience. Built with NextJS and Elasticsearch, the platform offers fast and efficient data processing and retrieval, enhancing overall user experience. Designed as licensable technology, the platform serves both direct consumer needs and enables enterprise partnerships with legal firms, allowing WizardIP to expand its reach and impact in the legal tech space.