Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!

We spend hours on Instagram and YouTube and waste money on coffee and fast food, but won’t spend 30 minutes a day learning skills to boost our careers.
Master in DevOps, SRE, DevSecOps & MLOps!

Learn from Guru Rajesh Kumar and double your salary in just one year.

Get Started Now!

How Big Data is Transforming the Legal Field

Source – iotbusinessnews.com

Big data refers to the massive volumes of data collecting on everything from internet searches to app usage to IoT devices such as connected wearables. The development of tools able to find the useful pieces of information in this firehose of data and collate it into patterns is likely to impact numerous sectors.

One of the areas where big data has already started changing the business practises is the legal field. Examining this particular example shed some light on how big data is about to transform all the sectors where data intelligence really makes a difference. Here are a few ways massive data collection and computing is already transforming the legal field.

Identification of Potential Clients

Big data is allowing many law firms to identify potential clients much more strategically and at a lower cost. The classic case of sending a postcard to everyone who has recently received a DUI ticket is being replicated by law firms using data analysis tools to find clients like those who are running a business out of their home and may want business legal advice.

Another variation of this is the analysis of law enforcement actions, such as finding that one cop issues five times as many tickets as others or one specific jurisdiction is responsible for the vast majority of civil forfeitures. These abnormalities are not necessarily bad since Pareto’s Law says that you’ll have a few outliers in any situation. However, identifying the oddities gives you the situations that require investigation, as well as hard data that can be used to prove the case that cops in a particular town are looking for cash to seize or issuing citations for profit.

Offensive and Defensive Database Analysis

Data mining can find potential cases of fraud in billing, contract awards and sales. Data mining provides hard evidence of potentially biased hiring, promotion and firing practices. Conversely, data mining by police and data-driven policing can snare people who did nothing wrong but fit the “bad” profile or did something out of the ordinary.

Another form of data mining is the mining of social media, whether looking for the source of a data leak, determining the timeline of activities by a subject or getting a bigger picture of the impact on a business’ reputation after false allegations. In this regard, social intelligence tools used by marketing companies can be used to prove the harm caused by slander and data mining tools like RIOT and PRISM by the feds can likewise prove that someone was not where the state says they were. This is where the USD Law School and other institutions have started teaching data mining practices as part of their curriculum. It’s an interesting topic for law students and one that is likely to crop up more frequently in the future.

The massive amount of legal records to be mined offers opportunities, too. The ability to search for legal records about nearly anyone allows attorneys to identify those who have a pattern of filing frivolous lawsuits or suing for personal financial gain.

Data-Driven Decision Making

Data analysis and artificial intelligence can mine databases and connect different data sets, providing insights that otherwise take months or years of research. This can save massive amounts of time for law firms that know how to use these tools.

Big data is about to prompt one of the biggest shifts we have ever seen in the world of law. But it is also going to have some major impacts in the business processes of many other industries. And IoT, should play a key role in this transformation by fueling the market-specific’s big data algorithms with new types of information and insights coming from the billions of connected devices out there in the field.

 

Related Posts

What is AIOps?

AIOps, short for Artificial Intelligence for IT Operations, is a practice that combines artificial intelligence (AI) and machine learning (ML) technologies with traditional IT operations to enhance Read More

Read More

What is Data Ethics and what are the Types of Data Ethics Tools?

What is Data Ethics? Data ethics is a branch of ethics that focuses on the responsible collection, use, and dissemination of data. With the rapid advancement of Read More

Read More

What is Natural Language Processing (NLP) tools?

Introduction to Natural Language Processing (NLP) Tools If you’ve ever asked Siri a question or talked to Alexa, you’ve used Natural Language Processing (NLP) tools. In essence, Read More

Read More

What are Emotion Detection Tools and Why Emotion Detection Tools are Important?

What are Emotion Detection Tools? Emotion detection tools are a type of technology that analyses human facial expressions, voice tone, and body language to determine the emotional Read More

Read More

What is Sentiment Analysis and what are the Types of Sentiment Analysis and its Important?

Introduction to Sentiment Analysis If you’re a business owner, marketer, or just someone who’s curious about what people think about your brand, then you’ve probably heard of Read More

Read More

What is Object Detection and Why is Object Detection Important?

Introduction to Object Detection Tools Object detection is the process of identifying and locating objects of interest in an image or video. Object detection tools are software Read More

Read More
Subscribe
Notify of
guest
3 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
3
0
Would love your thoughts, please comment.x
()
x