Analysis of Legal Case Document Automated Summarizer

The Legal case documents available after judgements are lengthy in size and need to be summarized for future reference by the legal experts, professionals and clients who need help for reference to similar cases. In the Common Law system of India, the legal case documents summary is done manually by specially appointed legal attorneys and is referred to as Gold Summaries. This process is time consuming as the legal case documents are very voluminous in size. We endeavor the survey of different automated legal domain based automated summarization techniques using artificial intelligence. We try to compare some extraction based legal case documents summarizers. The paper initiates with general introduction to legal domain text summarization techniques, different metrics to measure the performance of automated summaries generated by various legal domain-based text summarization methodologies. The conclusion finally suggests some directions for future research.