Extract from Chris Haley’s article “Document Review or Chatbot: Which Generative AI e-Discovery Solution Is Right for You?”
The number of generative AI solutions available to e-discovery professionals has exploded, and each uses large language models (LLMs) in a different way. From information retrieval to summarization and fact development to document analysis … it can be challenging to keep up with an ever-growing list of generative AI offerings. Yet it’s important for teams to understand which solutions will have the most impact on their work so they can determine where to invest time and resources.
Throughout the last year, two particular implementations of generative AI have emerged and gained traction, offering great promise to the e-discovery industry.
- Document-by-document review: A “bottom-up” approach using generative AI for document review where documents are analyzed one at a time, with an individualized response or decision generated for each document.
- Chatbot: A “top-down” approach using generative AI to look at sets of documents to analyze information and generate a response to a question or task. It often includes analysis or summarization across multiple documents simultaneously.
Each approach leverages generative AI differently to analyze data. Let’s look at these two different uses and compare their applications, benefits, and limitations to better understand how and when they should be used by legal professionals.
