- Overview of legal analytics and its applications in the legal field
- Introduction to Python programming: variables, data types, operators, control flow, and functions
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Legal Analytics
Learn to use data analytics and science in the legal department while enrolled in the Legal Analytics course
Part time, Online
4 Months
Quick facts
particular | details | ||
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Medium of instructions
English
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Mode of learning
Virtual Classroom, Campus Based/Physical Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekends
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Course overview
The Legal Analytics course is designed to transform the legal career by equipping individuals with in-demand skills in data science and analytics. The course provides a thorough understanding of legal analytics and its applications in the legal field, along with hands-on training in Python programming and advanced analytics techniques. The Legal Analytics certification by BIA is divided into eight modules that cover a wide range of topics, including legal research, e-discovery and document review, data analysis, data visualisation, predictive modelling, compliance and risk management, contract analysis, and more.
Throughout the course, students will have the opportunity to work on real-world legal analytics projects and apply their skills in Python programming, machine learning, and natural language processing. Upon completion of the Legal Analytics certification course, students will receive international certification, opening up various job opportunities such as legal data analyst, legal research analyst, legal technology consultant, compliance analyst, legal operations manager, legal risk manager, and more. Readers can also browse several other Law Certification Courses online.
The highlights
- 4 Months to Complete, 100 Hours Course
- Certification from the Boston Institute of Analytics
- Two-in-One Certification
- Classroom + Online Mode
Program offerings
- Dual certification
- Foundation course
- Hands-on learning
- Practical based
- Live lecture
- Weekend course
Course and certificate fees
The Legal Analytics certification fees amount to Rs. 75,000. The payment can be made through various modes of credit card, debit card, net banking, UPI, and mobile wallet.
Legal Analytics fee structure
Course Category | Fee Detail |
Certification - 4 Months | Rs. 75,000 |
certificate availability
certificate providing authority
Eligibility criteria
Academic Qualifications
Candidates from all academic streams such as arts, science, commerce, and engineering can apply for this course.
Certification Qualifying Details of Legal Analytics
The certification for Legal Analytics training is granted upon completing the course.
What you will learn
During Legal Analytics classes, participants will learn:
- Advanced legal research techniques and methodologies using data science tools
- Effective management of e-discovery processes and categorisation of digital documents
- Analysis and interpretation of legal data, including preprocessing and transforming data
- Visualising legal data through charts, graphs, and interactive dashboards
- Building predictive models to forecast legal outcomes using machine learning algorithms
Who it is for
The Legal Analytics certification syllabus is designed for individuals who are interested in pursuing a career in legal analytics or those who want to enhance their data manipulation skills in their current professions. It caters to:
Admission details
Follow the steps below to join the course.
Step 1- Click on the link below:
https://www.bostoninstituteofanalytics.org/legal-analytics
Step 2- Click on “Enquire Now”. Submit the form and your contact details and a representative will contact you.
Step 3- Once the fees are paid, you are enrolled in the course.
The syllabus
Module 1: Introduction to Legal Analytics and Python Basics
Module 2: Financial Statement Analysis
- Working with Python libraries for data manipulation, such as NumPy and Pandas
- Data cleaning and preprocessing techniques using Python
- Exploratory data analysis and statistical analysis in Python
Module 3: Valuation Methods
- Data visualization principles and best practices
- Creating charts, graphs, and interactive visualizations using Python libraries like Matplotlib and Seaborn
Module 4: Corporate Finance Principles
- Fundamentals of machine learning: supervised and unsupervised learning
- Data preprocessing techniques for machine learning tasks
- Building and evaluating predictive models using scikit-learn library
Module 5: Equity Research
- Introduction to NLP and its applications in legal analytics
- Text preprocessing techniques: tokenization, stemming, and lemmatization
- Sentiment analysis, text classification, and named entity recognition using NLP libraries
Module 6: Debt Capital Markets
- Understanding the fundamentals of language models and Chat GPT
- Training and fine-tuning Chat GPT for legal applications
- Implementing legal question-answering systems using Chat GPT
Module 7: Financial Analytics and Data Visualization
- Overview of Power BI/Tableau and its role in legal analytics
- Connecting to data sources and data modeling in Power BI/Tableau
- Creating interactive dashboards and reports in Power BI/Tableau
- Applying advanced data visualization techniques in Power BI/Tableau
- Utilizing Power BI/Tableau for legal data analysis and insights
Module 8: Exploratory Data Analysis (EDA) for Finance
- Students work on a real-world legal analytics project utilizing Python coding skills and Chat GPT for legal text analysis
- Project scoping, data collection, and preprocessing
- Applying Python programming, machine learning, and Chat GPT techniques to analyze legal data
- Presentation of project findings and recommendations
How it helps
The Legal Analytics certification benefits include:
- Financial analysis in the legal industry, including profitability metrics and resource allocation
- Understanding the ethical considerations specific to legal analytics
- Practical application of legal analytics techniques in real-world legal scenarios
FAQs
The course can be completed in 4 months, with a total of 100 hours of instruction.
Participants will acquire advanced legal research techniques, e-discovery management skills, data analysis and interpretation, data visualisation, and the ability to build predictive models using machine learning algorithms.
The course includes hands-on training in Python programming, covering basics, data manipulation, exploratory data analysis, and machine learning.
Candidates from all academic streams, such as arts, science, commerce, and engineering, can apply, and no specific work experience is required.
The programme offers a dual certification with a combination of classroom and online modes, providing flexibility for students to attend sessions either in person or remotely. The curriculum is divided into eight modules covering various aspects of legal analytics and Python programming.