Learning Tutorial - Basic Search
Lexbe eDiscovery Platform (LEP) Search Strategies
This search exercise will take less than 20 minutes to complete and utilizes various search techniques in LEP
Part 1: Sample Data Set Processing & Ingestion
Part 2: Case Keywords Set-Up
Part 3: Search Exercises
o Simple Search
o Stemming Search
o Boolean
Part 4: Search & Filter
Part 1. Sample Data-Set
þ Sample Enron data-set available to download at bottom of page
þ Ingest email PST file into LEP. Instructions on adding documents to LEP can be found here
o Sample PST is 3.89 MB
o The processing takes less than 10 minutes
o The PST file renders 54 documents
o Additional information can be found here on ESI processing in LEP
Part 2. Case Keywords
Applying case keywords will keep specified terms persistently highlighted without having to re-run the search. This feature is also used to manage a list of terms in a set of documents, without having to select filters or open the Search page (no advanced search terms).
þ Set up Case Keywords for the following Boolean search term query: symes OR migration
The Case Keywords will appear highlighted in the OCR and HTML viewers if the terms are available in the document.
Part 3. Search Exercises
A. Simple Search
þ Enter the following search term: Montana
(The search will recall 7 documents)B. Stemming Search
þ Enter the term “trade” into the search bar and check the option for Stemming Search.
(The search will recall 15 documents)C. Boolean Search
þ Enter the following search string: prebon AND deal
(The search will recall 5 documents)þ Enter the following search string: enpower w/10 peak
(The search will recall 8 documents)Part 4. Search & Filter
In addition to search, LEP allows search results to be further targeted with the ability to apply filters. A simple search for “Symes” will result in 52 hits. To narrow those results, a filter for emails sent to a specific person can be applied.
þ Enter the search term: Symes
þ Filter using filter option under General Coding in the field 'To': Kimberly Hundl