Switch to: Citations

Add references

You must login to add references.
  1. Evaluation of information retrieval for E-discovery.Douglas W. Oard, Jason R. Baron, Bruce Hedin, David D. Lewis & Stephen Tomlinson - 2010 - Artificial Intelligence and Law 18 (4):347-386.
    The effectiveness of information retrieval technology in electronic discovery (E-discovery) has become the subject of judicial rulings and practitioner controversy. The scale and nature of E-discovery tasks, however, has pushed traditional information retrieval evaluation approaches to their limits. This paper reviews the legal and operational context of E-discovery and the approaches to evaluating search technology that have evolved in the research community. It then describes a multi-year effort carried out as part of the Text Retrieval Conference to develop evaluation methods (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Network-based filtering for large email collections in E-Discovery.Hans Henseler - 2010 - Artificial Intelligence and Law 18 (4):413-430.
    The information overload in E-Discovery proceedings makes reviewing expensive and it increases the risk of failure to produce results on time and consistently. New interactive techniques have been introduced to increase reviewer productivity. In contrast, the techniques presented in this article propose an alternative method that tries to reduce information during culling so that less information needs to be reviewed. The proposed method first focuses on mapping the email collection universe using straightforward statistical methods based on keyword filtering combined with (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings.Kevin D. Ashley & Will Bridewell - 2010 - Artificial Intelligence and Law 18 (4):311-320.
    This article provides an overview of, and thematic justification for, the special issue of the journal of Artificial Intelligence and Law entitled “E-Discovery”. In attempting to define a characteristic “AI & Law” approach to e-discovery, and since a central theme of AI & Law involves computationally modeling legal knowledge, reasoning and decision making, we focus on the theme of representing and reasoning with litigators’ theories or hypotheses about document relevance through a variety of techniques including machine learning. We also identify (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations