Effective Document Clustering for Large Heterogeneous Law Firm Collections

Computational resources for research in legal environments have historically implied remote access to large databases of legal documents such as case law, statutes, law reviews and administrative materials. Today, by contrast, there exists enormous growth in lawyers’ electronic work product within these environments, specifically within law firms. Along with this growth has come the need for accelerated knowledge management—automated assistance in organizing, analyzing, retrieving and presenting this content in a useful and distributed manner. In cases where a relevant legal taxonomy is available, together with representative labeled data, automated text classification tools can be applied. In the absence of these resources, document clustering offers an alternative approach to organizing collections, and an adjunct to search. To explore this approach further, we have conducted sets of successively more complex clustering experiments using primary and secondary law documents a...

• Type: Conference
• Year: 2005
• Where: ICAIL
• Authors: Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, George Karypis
• Keywords: Document Clustering, Document Clustering Offers, Essential Clustering Functions, ICAIL 2005