AWS Certified AI Practitioner Practice Exam

Which solution is best for an AI application that reads legal documents and extracts key points?

1. Build an automatic named entity recognition system

2. Create a recommendation engine

3. Develop a summarization chatbot

4. Develop a multi-language translation system

The correct answer is: Develop a summarization chatbot

The best solution for an AI application that reads legal documents and extracts key points is to develop a summarization chatbot. This approach focuses on the specific need to condense information from lengthy legal texts into key points or summaries that are easier to understand. Legal documents often contain complex language and lengthy descriptions that may not be necessary for every reader, so having a system that can distill the essential information is particularly valuable. A summarization chatbot can utilize natural language processing techniques to comprehend the content of the legal documents, identify the most relevant information, and present it in a more digestible format. This capability aligns perfectly with the requirements of reading and extracting key points from the documents. While building an automatic named entity recognition system could also be useful in identifying specific legal entities mentioned in the documents, it does not address the need for summarizing or extracting the overall key points, which is a broader task. Creating a recommendation engine or developing a multi-language translation system does not directly target the requirement to extract and summarize legal information. Thus, they are less suited for the specific goal of key point extraction from legal documents.