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Professional Certificate in

Legal and Law Analytics Course

With our Legal and Law Analytics course, you will emerge as a professional ready to grab innumerable opportunities in the current Industry that is focusing heavily to leverage on Data.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
Legal and Law Analytics course - 360digitmg
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Academic Partners & International Accreditations
  • Legal and Law Analytics Course with Microsoft
  • Legal and Law Analytics Course certification with NASSCOM certificate
  • Legal and Law Analytics Course with INNODATATICS certificate
  • Legal and Law Analytics Course with SUNY
  • Legal and Law Analytics Course with NEF

Data Analytics are becoming ubiquitous in many industries and the Legal and Law department is no exception. Legal analytics can be defined as the application of data analysis methods and technologies within the field of law to improve efficiency, gain insight, and aid in taking valuable decisions.

Legal and Law Analytics

Program Cost

INR 12,000/-

Overview of Legal and Law Analytics Course

Implementation of Legal and Law Analytics will give a competitive advantage to the law firms and drive corporate profits. Data Analytics applications can be used to mine data from previous cases and information and insights gathered can be used in taking better and informed actions. 360DigiTMG course graduates can easily able to process legal and law data and draw insights from it that can be used in taking better decisions.

Legal and Law Analytics Course Training Learning Outcomes

Legal and Law Analytics is a special branch of Data Analytics that involve using employee-related data with analytical tools to take better legal decisions. The Certification Program in Legal and Law Analytics is a sui generis attempt to blend analytics solutions for better legal practices and the development of new strategies for gaining efficient insights which can be used in making informed decisions. Specifically designed to suit the Legal and Law professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to Legal and Law industry data. Our Legal and Law Analytics course is meant for professionals from the Legal and Law domain as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase the efficiency of legal practices and strategies. Understanding the applications of Data Science, Machine Learning to insurance will be the prime objective of this content-rich program.

Work with various information sources
Analyse structured and unstructured data using different tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for legal functions such as legal research
Understanding how surveys work and perform analytics on them
Use ML techniques for e-discovery, predictive analytics, marketing and drawing insights from law firms.
Use data visualisation concepts to represent data for easy understanding
Block Your Time
hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Programming Videos

Who Should Sign Up?
  • Legal Intern
  • Legal Researchers
  • Lawyers
  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Math, Science Graduates

Legal and Law Analytics Course Modules

This document details the legal and law analytics program. Sessions are broken down in a module-wise manner to understand the topics in a better way. The focus of this analytics will be on the overall how to implement analytics in legal systems.

  • Introduction to automation in Legal systems
  • Importance of analytics in document automation
  • Use of analytics for contract review.
  • Analytics in Litigation prediction.
  • Legal analytics and Legal research.
  • Information about Intellectual property.
  • Introduction to the various stages of analytics and using a historical example of the various stages can help understand the steps involved in analytics
  • Discussion on CRISP-ML (Q)
  • Explanation of the importance of CRISP-ML (Q) in various Data Science related projects
  • Explanation of unsupervised and supervised learning
  • Explanation of the training, validation, and testing stages of supervised learning
  • Understanding right fit, underfit and overfit scenarios in supervised learning
  • Understanding Hyperparameter tuning in the context of overfitting
  • This module covers the various steps of EDA
  • Discussion on the 4 business moment decisions in EDA
  • Discussion on univariate, bivariate, and multivariate EDA steps
  • Explanation of the various pre-processing steps involved in any Machine learning or Artificial intelligence project
  • A brief introduction to feature engineering
  • Re-cap of unsupervised learning in ML
  • Understanding of clustering in layman’s terminology
  • Understanding K-means clustering from a technical perspective
  • Understanding the usage of elbow curve and silhouette scoring to decide on the ideal number of clusters
  • Use Case: Segmentation of US crime data and finding insights from it.
  • Re-cap on supervised learning
  • Understanding of nearest neighbor in ML
  • Understanding the KNN algorithm and distance metrics
  • Understanding of early stopping point in the training phase
  • Explanation of the need for an odd number of neighbors when classifying
  • Use Case: Classification of illegal activities in Chicago from 2001-2017.
  • Re-cap on Decision Trees
  • Understanding the various components of a decision tree
  • Understanding the idea behind the root node and how it affects the overall tree
  • Understanding entropy and information gain concepts of decision tree to make logical choices on the root node
  • Usage of hyperparameter tuning to optimize the tree
  • Use Case: Classification of criminal activities in Chicago from 2001-2017
  • Introduction to the concept of line equation
  • Correlation of line equation in ML terms
  • Understanding of correlation and its importance in Linear regression
  • Differentiating between the equations of SLR and MLR
  • Explanation of the OLS concept
  • Use Case: Working on Swedish Auto Insurance problem.
  • Re-cap on the topics covered before
  • Understanding the importance of AI
  • Understanding the reasoning behind the concept of neural networks
  • Explanation of the perceptron algorithm
  • Introduction to multilayer perceptron
  • Understanding the concept of weight calculations
  • A brief intro to gradient descent
  • Use Case: Classification of illegitimate activities during 2001-2017 in Chicago city using MLP.

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Tools Covered
HR analytics course using python
HR analytics training using r programming
HR analytics training using r studio programming
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Legal and Law Analytics Training program Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
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Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
Legal and Law analytics certification course - 360digitmg


Earn a Legal and Law Analytics Course certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Legal and Law Analytics Course Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology


Our Alumni Work At

Our Alumni

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FAQs for Legal and Law Analytics Training Program

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

In legal and law analytics, professionals can work in roles such as Legal Data Analyst, Legal Operations Manager, and eDiscovery Specialist. These roles involve using data and technology to optimize legal operations, manage litigation, and drive strategic decision-making. Additionally, there are roles focused on implementing and managing legal technology systems. Overall, this field offers diverse job opportunities for those with a passion for data analysis, legal operations, and innovation.

Salaries for Analytics Course

Salaries for Analytics Experts

Salaries for analytics experts in legal and law vary based on factors such as job role, experience, and location. On average, Legal Data Analysts in India earn around 6,00,000 lakhs per annum, while Legal Operations Managers and eDiscovery Specialists earn around 8,50,000 and 10,00,000 lakhs per annum, respectively. These salaries may vary based on individual factors such as qualifications, experience, and location.

Analytics Course Projects

Analytics Course Projects

The best way to build your knowledge is to work on live projects. There are various projects that one could venture into like predictive modeling for case outcomes, analyzing legal text, network analysis of legal relationships, predicting legal costs, analyzing trends in legal data, recommender system for legal services, analyzing court efficiency.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.

Modes of Training for Analytics Course

Modes of Training for Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Analytics Course

Industry Application of Analytics Course

Analytics plays an integral role in making data-driven decisions and boosting ROI. Its applications are used in various fields of statistics, analysis, and employee-related factors like retention, workforce planning, employee development, engagement, and performance.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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