The views expressed in this blog are those of the owner and do not reflect the views or opinions of the owner’s employer. All content provided on this blog is for informational purposes only. The owner of this blog makes no representations as to the accuracy or completeness of any information on this site or found by following any link on this site. The owner will not be liable for any errors or omissions in this information nor for the availability of this information. The owner will not be liable for any losses, injuries, or damages from the display or use of this information. This policy is subject to change at any time. The owner is not an attorney, and nothing posted on this site should be construed as legal advice. Litigation Support Tip of the Night does not provide confirmation that any e-discovery technique or conduct is compliant with legal, regulatory, contractual or ethical requirements.
Featured on the ACEDS blog.
Follow me on Twitter and see How-To Videos on my YouTube channel.
New tips for paralegals and litigation support profesionals are posted to this site each night. Click on the blog headings for better detail.
This is a follow-up to my post from last night where I discussed how to create a list of terms to be marked for redaction with Adobe Acrobat's Search and Remove text tool. You may also want to redact personal names from a document. A PowerGrep search with the same setting as those described last night, but with a different regular expression in the search box:
When you have the data collected with this regular expression exported to an Excel file, you'll likely wind up with a lot of terms you don't need - titles for different document sections and so forth. Now what you want to do is to separate the two words that you collected with the Text to Columns wizard in Excel, selecting the option for delimited text and choosing the option for the 'space' delimiter. But first copy the terms collected with PowerGrep into an adjacent column. Now you'll have any first names that you collected in one column, but the full names in the first column. Prepare a list of common first names that you can conference against the data in the first column. See this site: http://names.mongabay.com/data/1000.html , which also includes common last names. If you have the first words from the grep search in column B, and put the list of common male and female names from in column E, you can just run this formula in column D, =VLOOKUP(B2,E:E,1,FALSE) to find any instances where a term in column B is likely to be a person's name.