#1 Analytics
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LEGAL ANALYTICS

CORE MODULE

Transform Your Legal Career with the Science of Data: Acquire In-Demand Legal Analytics Skills to Thrive in a Data-Driven Legal World.

Module 1: Introduction to Legal Analytics and Python Basics

Overview of legal analytics and its applications in the legal field
Introduction to Python programming: variables, data types, operators, control flow, and functions

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

CERTIFICATION

4 MONTHS

(100 HOURS WEEKEND COURSE)

DIPLOMA

6 MONTHS

(100 HOURS WEEKEND COURSE) +

(2 MONTHS INTERNSHIP)

MASTER DIPLOMA/POST GRADUATE MASTER DIPLOMA

10 MONTHS

(100 HOURS WEEKEND COURSE) +

(6 MONTHS ON-JOB TRAINING AS LEGAL DATA ANALYST)

MODE OF LEARNING

CLASSROOM

✚

ONLINE

CLASSROOM

+

ONLINE

BIA^® has a CLASSROOM + ONLINE training pattern where students have the flexibility to attend the sessions IN CLASSROOM as well as ONLINE. BIA^® Trainers conduct the training sessions live from BIA^® Classrooms. All BIA^® sessions are live streamed for students from that batch, thus enabling students to attend the same sessions ONLINE and interact with the Trainer as well as other students.

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What You Will Learn In The Legal Analytics Course

Legal Research

You'll learn advanced legal research techniques and methodologies, utilizing data science tools to extract insights from legal databases and case law.

E-Discovery and Document Review

You'll learn how to effectively manage e-discovery processes, utilizing data science techniques to efficiently review and categorize large volumes of digital documents.

Data Analysis

You'll develop skills in analyzing and interpreting legal data, including preprocessing, cleaning, and transforming data to extract meaningful information.

Data Visualization

You'll acquire skills in visualizing legal data through charts, graphs, and interactive dashboards, enabling effective communication of complex legal information.

Predictive Modeling

You'll learn how to build predictive models to forecast legal outcomes, using machine learning algorithms to predict case results or estimate settlement values.

Compliance and Risk Management

You'll learn to analyze data related to regulatory changes, identify compliance risks, and develop proactive strategies for risk mitigation and compliance monitoring.

Contract Analysis

You'll gain expertise in contract analysis, leveraging natural language processing (NLP) techniques to extract and classify contract clauses, identify risks, and automate due diligence processes.

Financial Analysis

You'll gain knowledge of financial analysis in the legal industry, including analyzing billing records, profitability metrics, and resource allocation for better financial planning and decision-making.

Ethical Considerations

You'll explore the ethical considerations specific to legal analytics, understanding the importance of confidentiality, privacy, and ethical standards in data-driven legal practice.

Practical Application

Through hands-on projects and case studies, you'll gain practical experience in applying legal analytics techniques to real-world legal scenarios, developing a strong foundation for using data science in your legal career.