Law Dissector  is our search and statistical analysis tool for legal research. It utilizes our natural language processing technology and applies data science methodology in the legal industry. Law Dissector summarizes the key attributes of each legal case and aggregates them in a broader statistical scope, which enables judges, lawyers and researchers to find implied patterns or rules that would be valuable for their respective professional objectives. The capabilities of Law Dissector include:

Information retrieval. By combining legal professional insights with Chinese natural language processing technologies, Law Dissector is able to develop a deep understanding of various kinds of legal documents. In the case of judicial verdicts, Law Dissector enables customers to query on matters such as the litigants, litigators, judges, cause of actions, keywords, evidences, applicable rules and regulations, verdicts and the amounts claimed and collected. Law Dissector also provides multiple relevant sorting choices, such as date or verdict complexity.

Powerful aggregation. In modeling legal documents, Law Dissector groups extracted data in a multi-dimensional fashion, and allows for in-depth statistical legal research.

Intelligent case analysis. Law Dissector allows for the input of a specific question, a paragraph of case description, or even an entire plaintiff complaint. By parsing the input with its natural language processing engine, Law Dissector retrieves actual verdicts that are most similar to the input, and summarizes the causes of action, verdicts, major evidence and the rules and regulations applied. This function enables legal professionals to conduct fuzzy searches without the need to refine the keywords, and can provide valuable tips for legal professionals.