AI for Predictive Climate Litigation: Modeling Legal Strategies

Harnessing AI for Strategic Climate Justice and Legal Innovation!

Workshop ID:284

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Legal Workshop

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MODE
Online

TYPE
Industrial Based Program

LEVEL
Moderate

DURATION
3 Days

Start Date
23-Apr-2025

Time
3:00 PM IST

Law, Law Professionals

About

With the rise of climate-related legal disputes, AI and machine learning are emerging as powerful tools for predicting case outcomes, assessing legal risks, and formulating data-driven legal strategies. This program provides insights into how AI can analyze precedents, model litigation risks, and optimize strategies for corporate accountability, environmental justice, and policy advocacy.

Aim

The AI for Predictive Climate Litigation Program aims to equip legal professionals, policymakers, and climate advocates with AI-driven tools and models to anticipate, strategize, and optimize legal approaches in climate litigation cases. The program covers predictive analytics, legal data modeling, AI-assisted case assessment, and strategic litigation planning.

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Legal Workshop

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Workshop Objectives

To introduce participants to AI applications in climate litigation
To train professionals in predictive analytics for legal strategy
To explore AI-powered case analysis and risk modeling
To discuss AI governance and ethical considerations in legal AI
To prepare participants for cutting-edge legal and environmental careers

Workshop Structure

Day 1: Foundations of Climate Litigation & AI in Legal Analysis

Section 1: Introduction to Climate Litigation

Understanding Climate Litigation
- Types of climate lawsuits: Mitigation, Adaptation, Corporate Liability
- Key legal frameworks: Paris Agreement, UNFCCC, National Environmental Laws
- Case studies: Landmark climate lawsuits (Juliana v. U.S., Urgenda Foundation v. Netherlands)
Challenges in Climate Legal Battles
- Scientific uncertainty vs. legal burden of proof
- Jurisdictional and regulatory complexities

Section 2: AI in Legal Research & Case Analysis

Role of AI in Climate Law
- Legal document automation and case summarization
- AI for legal precedent research
Natural Language Processing (NLP) for Climate Law
- Extracting key insights from case laws and regulations
- Text classification for climate-related lawsuits

Day 2: Predictive Modelling & AI-driven Litigation Strategies

Section 1: Machine Learning for Legal Prediction

Predicting Case Outcomes with AI
- Machine Learning models for legal decision-making
- Case study analysis using AI-powered litigation analytics
Data Sources for Climate Litigation AI Models
- Climate lawsuits databases (Sabin Center, Climate Case Chart)
- Government policies and court rulings
Building a Legal AI Model
- Supervised vs. Unsupervised Learning in legal analytics
- Feature engineering for legal predictions

Section 2: AI-Driven Litigation Strategy Development

AI for Risk Assessment in Climate Lawsuits
- Evaluating corporate liability using predictive models
- Identifying litigation trends and risk mitigation
Optimizing Legal Strategies with AI
- AI-assisted legal argumentation and counterarguments
- Policy impact assessment using AI

Day 3: Future of AI in Climate Litigation & Ethical Considerations

Section 1: AI Ethics, Bias, and Legal Accountability

AI Bias in Legal Decision-Making
- Transparency and fairness in AI-generated legal strategies
- Addressing data bias and algorithmic accountability
Ethical AI in Climate Justice
- AI for supporting underrepresented communities in climate cases
- Role of human oversight in AI-powered legal predictions

Section 2: Future Trends & Practical Implementation

AI-Powered Climate Governance & Policy Advocacy
- How AI can assist policymakers in climate adaptation strategies
- AI-driven regulatory compliance monitoring
Career Pathways in AI and Climate Law
- Opportunities in Legal Tech, Climate Policy, and Environmental AI

Participant’s Eligibility

Legal Professionals & Environmental Lawyers
AI & Data Science Experts in Legal Tech
Climate Activists & Advocacy Groups
Policy Analysts & Government Officials
Corporate Risk & Compliance Officers

Workshop Outcomes

✔ Understand the integration of AI in climate litigation strategy

✔ Gain expertise in predictive legal modeling and risk assessment

✔ Learn how AI can optimize case analysis and regulatory compliance

✔ Explore AI-driven tools for legal document analysis & evidence gathering

✔ Be prepared for AI-powered careers in legal, policy, and environmental sectors

Mentor Profile

Name :Teena

Designation :Assistant Professor

Affiliation :G. D Goenka University

Dr. Teena is law graduate from Maharashi Dayanand University, Haryana. She did her LL.M. from Bhagat Phool Singh University, Sonepat with specialization in Corporate Laws. She qualified National Eligibility Test conducted by UGC in Dec 2014. She completed her Ph. D in 2019 from Amity University Gurugram.

She has natural flair for teaching and research. During her teaching, she won many accolades including, Chancellor’s Award for Excellence in Innovative Teaching Pedagogy in K R Mangalam University. Her research paper was awarded with best research paper at one day National Conference on Social-Legal Impact of Environment Jurisprudence in the 21st Century, dated 21st October 2021. So far she has published 11 research papers and chapters in various journal and books and has also presented 15 research papers in National and International Conferences. Her areas of interest are Environmental Laws, IPR, Family Law and Criminal Laws