---
title: $4 Million Fine Levied Against One of the Largest Global Investment Banks
description: Quickly find the information you need from lengthy, jargon-filled documents using an SEC document highlighting the SEC fine of Jefferies for $4 million.
---

[Kingland Blog ](https://blog.kingland.com)

# [$4 Million Fine Levied Against One of the Largest Global Investment Banks](https://blog.kingland.com/4-million-fine-levied-against-one-of-the-largest-global-investment-banks)

 Written by [Kingland Product Management](https://blog.kingland.com/author/kingland-product-management) | 12/11/19 7:25 PM

 $4 Million Fine Levied Against One of the Largest Global Investment Banks

[Kingland Blog ](https://blog.kingland.com)

# [$4 Million Fine Levied Against One of the Largest Global Investment Banks](https://blog.kingland.com/4-million-fine-levied-against-one-of-the-largest-global-investment-banks)

 Written by [Kingland Product Management](https://blog.kingland.com/author/kingland-product-management) | 12/11/19 7:25 PM

The Securities and Exchange Commission levied a $4 million fine on broker-dealer Jefferies, as reported by several news organizations earlier this week. This stems from the investigation into the improper handling of American Depositary Receipts (ADRs).

We pulled information from a lengthy SEC document filled with legal jargon, revealing more than 60 references to Jefferies and 20 mentions of the word pay, but no reference to the word fine. A risk analyst, for example, would be required to read through this document and many others in order to make interpretations and take appropriate action.

A Google search for the phrase "Jefferies fined $4 million" returned nearly 70,000 results. Reading through just a few documents can take quite a bit of time to sift through the text and extract actionable information.

Watch the video below and in less than 2 minutes see how quickly you can accelerate the process of discovering important information that can help your risk management team.

[See more news monitoring examples](https://kingland.wistia.com/projects/rmt1rub14u) from the Kingland Text Analytics Platform Suite. 

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