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PROVEN LEGAL TECHNOLOGIES REVEALS 10 WORST E-DISCLOSURE SEARCHES

Published by Gbaf News

Posted on October 11, 2014

4 min read

· Last updated: November 1, 2023

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Proven Legal Technologies Unveils Search Failures

Proven Legal Technologies, the corporate forensic investigation and e-disclosure firm, has revealed ten of the worst searches made by businesses during e-disclosure investigations.

Phil Beckett, Partner, Proven Legal Technologies, comments:

“In cases where an e-disclosure investigation is necessary, it is essential that the procedure is highly efficient and provides clear and concise results. However, our experience has shown that firms are still making crucial errors in the process, such as agreeing to search for ineffective words and phrases.”

The 10 Most Ineffective E-Disclosure Searches

Beckett’s top 10 worst e-disclosure searches include:

1)      Words likely to appear in email footers

Phil Beckett (Proven Legal Technologies - Good Governance Group) (Landsc...

Phil Beckett (Proven Legal Technologies – Good Governance Group) (Landsc…

Why Email Footer Terms Harm Results

Terms that appear in standard email footers will do little to narrow down the search process. Examples include: “deletion”, “company”, “legal”, “confidential”, and any alternative forms of the words.

2)      Names

Searching an individual’s or custodian’s name is impractical as they often, if not always, appear in email signatures. In addition, there are numerous alternative spellings and abbreviations that would require separate searches.

3)      System-related words

Using words that are common place within computer or system terminology often brings up a vast number of false-positive results, for example “network”, ”windows” or even “data”.

4)       Standard terminology

Using standard terminology, be it relating to the specifics of a business (for example, products, or customers) or relating to business in general (invoices or sales), can create a large number of results. These results will generally need to be combined with other terms to be effective.

5)      “Fraud”

Misconceptions About Fraud-Related Keywords

Fraudsters would rarely use this word within emails or other methods of communication, not least because they do not believe that they are doing anything wrong, hence searching for this term will be fruitless.

6)      Misunderstood syntax

The same sentences can have numerous implications and meanings depending on its grammatical characters and structure. It is therefore essential to ensure that the search accounts for this possibility or eliminates any incorrect interpretations.

7)      Initialisms

Many custodians use abbreviations or initialisation to reference names or as signatures. However, searching individual letters, particularly “A” and “I” will prove futile due to their high frequency.

8)      Proximity searching

When a phrase is searched, frequent words such as ‘a’ and ‘of’ are treated as “noise” or “stop” words, meaning that a phrase containing noise words will not be searched as intended. A more appropriate method is to use the “X within two words of Y” operator, where for example, “bill of sale” would become bill w/2 sale.

9)      Searches in which one expects obvious fraud

In most cases, perpetrators of suspected wrongdoing will be aware of the legitimacy of their actions and will endeavour to conceal them, thus searching material that blatantly betrays the fraudsters is unlikely to be successful. A recent example is being asked to search for the term “brown envelope” because the client had a vision that the perpetrator was handing over a brown envelope of cash under a table.

10)   Key words

Best Practices for Efficient E-Disclosure Searches

It is sometimes inappropriate to use key words at all. One example of this is when actions are being deliberately concealed. Another is when dealing with hard-copy material that has had Optical Character Recognition (OCR) to make it searchable. No matter how good the software is, it will be dependent on the quality of the paper, text and scan. Words can be incorrectly identified on a regular basis, which would not be responsive to a key word search.

Beckett concludes:

“Search processes within e-disclosure investigations should be cyclical and progressive, building on the findings of previous searches in order to narrow down results. Firms should also consider whether key word searches are suitable to the nature of the investigation, or whether alternative methods would be more suitable.

“In order to establish an effective method and specific list of search terms for an investigation, businesses should seek expert advice and consultation. Specialist key word analytics tools and experience eliminates time-wasting as well as significantly increases the likelihood of producing crucial results and a conclusive investigation.”

Key Takeaways

  • Businesses often waste time using common words like ‘company’ or ‘confidential’ in e‑disclosure searches, which produce many irrelevant results.
  • Searches for names, system terms, standard business phrases or the word “fraud” are typically ineffective.
  • Advanced search strategies like proximity operators (e.g., “w/2”) are far more efficient than keyword searches.
  • E‑disclosure should be iterative—search terms must refine based on earlier results, and sometimes keywords are unsuitable.
  • Expert tools and guidance greatly improve efficiency and accuracy in e‑disclosure investigations.

References

Frequently Asked Questions

Why shouldn’t firms search for words like “company” or “confidential”?
Because such terms are common in email footers and return high volumes of irrelevant results, reducing efficiency.
Is searching for the term “fraud” effective?
No; perpetrators rarely use that word in communications, making it unlikely to appear in relevant evidence.
What is proximity searching and why is it useful?
It lets you locate words within a specified distance (e.g., bill w/2 sale), which yields more accurate results than standard phrase search.
When might keywords be inappropriate?
When wrongdoing is concealed or OCR quality is poor—as automated search may misidentify terms or miss critical content.
What approach should firms adopt for e‑disclosure searches?
A cyclical and progressive process that builds on prior results, supported by specialist analytics tools and expert advice.

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