AI-Assisted eDiscovery Search
Description
The use case addresses inefficiencies in traditional document search and retrieval processes, such as time-consuming manual searches, the complexity of crafting SQL queries, low relevance and accuracy in search results, difficulties in digesting lengthy content, and the absence of summarization tools. These challenges hinder users' ability to efficiently access and understand critical information.
Detailed example
The solution’s AI outputs include precise search results and summarized content, enabling users to quickly access information, make informed decisions, and take follow-on actions without requiring technical expertise. The tool does not make legal or case outcomes decisions; it retrieves and summarizes documents, and Office of the Principal Legal Advisor personnel remain responsible for interpreting the results and applying the law.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The intended purpose of this AI use case is to optimize document search, retrieval, and summarization processes by enabling users to interact with data conversationally and efficiently. The benefits include improved accuracy and relevance in search results, reduced time spent analyzing large datasets, simplified access to complex information, and enhanced decision-making through concise summaries and precise outputs.
Controls / human review
ATO: Not reported; PIA: Not published