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The Flaws of Using Search Methods in E-discovery

Whitepaper

TASA ID: 1793

Introduction


The document review industry has used search methods for various purposes. The use of search methods have been validated by using flawed validation methods. I could show the validation methods that have been used are flawed due to the interference of networked-based distributed review models on performance, reviewer qualification mismatches, using tag counts in validation methods, and the misuse of statistical methods. Statistical methods, which always involve using small probability theory to address low-frequency high-risk problems, are sufficient to make most search results invalid. The flaw in using statistical methods in litigation is similar to using the small probability theory to address risks in the aviation industry which would lead to hull losses.   

I conduct a brief analysis of two well known key search methods which have been used widely to generate document pools for human review. 


It’s Not Personal, It’s Only Business…Identity Theft

TASA ID: 2346

(For purposes of privacy, the names have been changed)

For three years a fraud was perpetrated upon A2G Company Inc. of Los Angeles. The company's real name is being withheld because the fraud almost destroyed it.  The crime was finally discovered when a tax department levied the corporate bank account for three years in back payroll taxes.

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