AI & Data Analytics for Legal Professionals
Transforming Legal Practice with AI and Data-Driven Insights
Early access to the e-LMS platform is included
About This Course
This program is tailored for legal professionals to understand the transformative impact of AI and data analytics in the legal industry. Participants will explore applications such as contract analysis, predictive analytics, legal research automation, and risk assessment. With hands-on demonstrations and case studies, the program ensures participants are equipped to integrate AI and data-driven tools into their legal workflows.
Aim
To empower legal professionals with the knowledge and skills to leverage Artificial Intelligence (AI) and Data Analytics for improved efficiency, accuracy, and decision-making in legal practices.
Program Objectives
- To introduce legal professionals to AI and data analytics fundamentals.
- To train participants in using AI tools for tasks like contract review, legal research, and predictive analysis.
- To explore the ethical implications of AI in the legal industry.
- To prepare participants to leverage AI and data analytics for better client service and decision-making.
- To ensure participants are equipped to handle future challenges in legal technology adoption.
Program Structure
Week 1: Fundamentals of AI in Law
- Session 1: AI Basics and Terminology
- Session 2: Machine Learning vs. Rule-Based Systems
- Session 3: Real-World Use Cases (Legal Research, Predictive Analytics)
Week 2: Data Analytics Tools & Techniques
- Session 1: Data Collection & Cleaning
- Session 2: Introduction to Legal Analytics Software
- Session 3: Practical Exercises on Sample Legal Datasets
Week 3: Ethical & Regulatory Aspects
- Session 1: Ethics of AI (Bias, Privacy, Security)
- Session 2: Indian Regulatory Framework & Global Best Practices
- Session 3: Future Trends & Implementation Strategies
Who Should Enrol?
- Legal professionals, attorneys, and paralegals
- Law firm administrators and legal consultants
- Corporate legal teams and compliance officers
- Students and researchers in law and legal technology
Program Outcomes
- Understanding of AI and data analytics concepts tailored to the legal field
- Ability to integrate AI tools and data-driven insights into legal workflows
- Hands-on experience with AI-powered legal tools and data analytics platforms
- Awareness of ethical and privacy considerations in legal AI applications
- Readiness to adopt and advocate for technology-driven solutions in legal practice
Fee Structure
Discounted: ₹8499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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The Mentor was late to the Day 2 session and spent over 30 mins of the 1.5h session either disconnected entirely, without her screen visible, or simply not saying anything while staring at a webpage with no communication as to what she was doing. She was not prepared at all for this workshop as over half of the links she tried to use were not available or were under construction (something that could have been checked ahead of time).
It was requested at the end of Day 1 that she share a list of tools that we would use on Day 2 so that we could prepare ahead of time so that we could follow along, and this was not done either.
Somehow on Day 2 we ended up talking about a vector annotation program and converting DNA sequences to mass and molarity - this has nothing to do with the course content of metagenomics and AMR. And she did not cover the last 2 points on the syllabus for the day at all.
The Mentor was not prepared for this workshop at all - adding notes from google AI summary DURING the session, not having a computer capable of running the programs she is meant to demonstrate, not having a stable internet connection, not knowing when she is sharing her screen or not. A significant portion of each session was spent just checking whether or not we could see what she wanted us to see.
The Mentor should have prepared notes in advance, shared lists of programs with students so they could be prepared in advance as well, and made sure she had access to all the tools she planned to showcase.
When presented with any of this feedback directly during the session the Mentor was defensive, often talking over participants before they had finished their question, and outright denying that she missed covering something. She was adamant that she had covered all topics from Day 1 when in the recording of Day 1 at the end of the session she promises to go over the missed topics on Day 2 - she did not ever go over these missing topics and raised her voice at the participant when this was brought up on Day 2.
">The syllabus promised "hands-on" experience, which at least should mean demonstrating how each of the analysis tools works. Instead what we got was the presenter going to a github page and saying to install the tool with conda - nothing about how to actually run the tool, or what we could expect as output from the tool itself. There was no guidance provided about which options to use for each tool, she just read straight off the webpage for each one. This does not count as hands-on experience or even a demonstration.
She did open specific scripts on the github for each tool, but these are the internal workings of the tool and not at all necessary to run the tool - and in fact not useful at all when doing metagenomic analysis. This demonstrates she has no knowledge of how these tools work or how to run them.
The Mentor was late to the Day 2 session and spent over 30 mins of the 1.5h session either disconnected entirely, without her screen visible, or simply not saying anything while staring at a webpage with no communication as to what she was doing. She was not prepared at all for this workshop as over half of the links she tried to use were not available or were under construction (something that could have been checked ahead of time).
It was requested at the end of Day 1 that she share a list of tools that we would use on Day 2 so that we could prepare ahead of time so that we could follow along, and this was not done either.
Somehow on Day 2 we ended up talking about a vector annotation program and converting DNA sequences to mass and molarity - this has nothing to do with the course content of metagenomics and AMR. And she did not cover the last 2 points on the syllabus for the day at all.
The Mentor was not prepared for this workshop at all - adding notes from google AI summary DURING the session, not having a computer capable of running the programs she is meant to demonstrate, not having a stable internet connection, not knowing when she is sharing her screen or not. A significant portion of each session was spent just checking whether or not we could see what she wanted us to see.
The Mentor should have prepared notes in advance, shared lists of programs with students so they could be prepared in advance as well, and made sure she had access to all the tools she planned to showcase.
When presented with any of this feedback directly during the session the Mentor was defensive, often talking over participants before they had finished their question, and outright denying that she missed covering something. She was adamant that she had covered all topics from Day 1 when in the recording of Day 1 at the end of the session she promises to go over the missed topics on Day 2 - she did not ever go over these missing topics and raised her voice at the participant when this was brought up on Day 2.
Jenn Knapp •View All Feedbacks →
