Text Summarization System for Law

Introducing our text summarization system for Turkish legal texts. After a year of intense research and development, we have created a system that effectively summarizes the complexities of Turkish legal documents.

Our system uses transformer-based encoder-decoder models in seq2seq setting for abstractive summarization, including the latest cutting-edge models. We have trained and tested several models, and believe that we have the best summarization models for Turkish legal texts. With our text summarization system, users can easily generate accurate and concise summaries of lengthy legal documents, saving time and increasing efficiency.

Our system is particularly useful for legal researchers, attorneys, and law firms. Contact us today to learn more about our text summarization system for Turkish legal texts.