Lawchemy Presents’
5-Week Certificate Course on Law & AI Tool: AI-Powered Legal Research & Academic Research.
This practical 5-week certificate course is designed to equip participants with the knowledge and practical skills required to use Artificial Intelligence tools throughout the research process.
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COURSE DETAILS
📅 Course Commencement: 9th October 2026
⏳ Duration: 5 Weeks
📚 Total Classes: 10
📖 Class Frequency: Two Classes Every Week
📆 Class Days: Saturday & Sunday
⏰ Class Timing: 8:00 PM – 9:00 PM (IST)
💻 Mode: Online Live Classes
COURSE BROCHURE
📥 Download the Course Brochure
Get complete information about the course, curriculum, faculty, learning outcomes, course benefits and registration details.
COURSE HIGHLIGHTS
5 Weeks
Structured learning covering the complete AI-assisted research lifecycle.
10 Live Classes
Two interactive classes every week with practical demonstrations and exercises.
Practical AI Training
Learn to use leading AI platforms for research, literature discovery, writing, analysis and verification.
Hands-On Research Exercises
Apply every major concept to an actual research topic.
Mini Research Project
Develop and present your own AI-assisted research proposal by the end of the course.
COURSE OUTLINE
WEEK 1
Foundations of AI-Assisted Research
Class 1: Introduction to AI in Academic & Legal Research
• Understanding Artificial Intelligence, Machine Learning and Generative AI
• Evolution of AI in academic and legal research
• Traditional research vs. AI-assisted research
• Role of AI across the research lifecycle
• Opportunities and limitations of AI in research
• Understanding different categories of AI research tools
• Selecting the right AI tool for different research tasks
AI Tools: ChatGPT, Gemini, Claude, Microsoft Copilot, Perplexity
Practical Exercise: Compare responses generated by different AI tools for the same research question and evaluate their accuracy, relevance and limitations.
Class 2: Prompt Engineering for Research
• Understanding prompts and prompt engineering
• Components of an effective research prompt
• Zero-shot, few-shot and role-based prompting
• Using AI to develop research topics and research problems
• Generating research questions, objectives and hypotheses
• Developing effective research keywords
Practical Exercise: Build a research workflow from:
Topic → Research Problem → Research Questions → Objectives → Keywords
WEEK 2
AI-Powered Literature Search & Research Discovery
Class 3: AI Tools for Literature Search & Research Discovery
• Searching academic literature using AI
• Identifying relevant and recent research
• Finding seminal and foundational works
• Generating effective research keywords
• Discovering related literature
• Preliminary identification of research gaps
• Evaluating the relevance of research papers
AI Tools: Google Scholar, Semantic Scholar, Consensus, Elicit, Perplexity
Practical Exercise: Identify 5 relevant papers, 3 recent studies and 2 foundational works on a selected research topic.
Class 4: AI-Assisted Literature Review & Research Gap Identification
• Summarising academic research using AI
• Comparing different studies
• Identifying themes, trends and contradictions
• Organising literature systematically
• Identifying potential research gaps
• Building a structured literature review
AI Tools: Elicit, Research Rabbit, Connected Papers, SciSpace, ChatGPT
Practical Exercise: Prepare a Literature Review Matrix covering:
Author | Research Question | Methodology | Findings | Research Gap
WEEK 3
AI for Research Methodology & Data Analysis
Class 5: AI for Research Methodology & Research Design
• Doctrinal and empirical research
• Qualitative and quantitative research
• Understanding research design
• Developing research questions and hypotheses
• Sampling techniques
• Designing questionnaires and interview questions
• Using AI to structure and refine research methodology
AI Tools: ChatGPT, Gemini, Claude and AI-Assisted Research Tools
Practical Exercise: Develop a complete research methodology for a selected research topic.
Class 6: AI-Assisted Data Analysis & Interpretation
• Introduction to qualitative and quantitative data analysis
• Data cleaning and organisation
• Classification of research data
• Coding qualitative responses
• Thematic analysis
• Identifying patterns and trends
• AI-assisted interpretation of data
• Presenting research findings
• Limitations of AI-assisted data analysis
Tools: ChatGPT, Microsoft Excel, Google Sheets and AI-Assisted Analytical Tools
Practical Exercise: Analyse a sample dataset and prepare key findings, themes and interpretations.
WEEK 4
AI-Assisted Academic Writing & Research Integrity
Class 7: AI-Assisted Academic Writing
• Developing research paper structures
• Creating effective research outlines
• Writing introductions and literature reviews
• Developing arguments and analysis
• Improving logical flow and coherence
• Academic language and writing style
• AI-assisted editing and proofreading
• Avoiding over-reliance on AI-generated content
AI Tools: ChatGPT, Gemini, Claude, Grammarly and other AI writing assistants
Practical Exercise: Prepare a complete research paper outline from title to conclusion.
Class 8: AI for Citation, Referencing & Academic Integrity
• Understanding academic citation and referencing
• AI-assisted citation generation
• Reference management
• Identifying fabricated or inaccurate references
• AI hallucinations in academic research
• Plagiarism and responsible AI use
• Academic integrity and transparency
• Verifying sources before citation
Tools: Zotero, Mendeley, SciSpace, Google Scholar and AI Citation Tools
Practical Exercise: Verify AI-generated references and prepare a correctly formatted bibliography.
WEEK 5
Advanced AI Research Workflow & Final Research Project
Class 9: Advanced AI Research Workflow & Fact Verification
• Integrating multiple AI tools into a single research workflow
• Choosing the right tool for each stage of research
• Cross-verifying AI-generated information
• Detecting AI hallucinations
• Fact-checking research claims
• Identifying authoritative and reliable sources
• Understanding AI bias and limitations
• Building an efficient personal AI research system
AI Tools: ChatGPT, Perplexity, Google Scholar, Elicit and verification tools
Practical Exercise: Develop a personalised AI-Assisted Research Workflow for an individual research project.
Class 10: Final Research Project & Responsible AI Use
• Ethical use of AI in academic and legal research
• Privacy and confidentiality
• Bias in AI systems
• Copyright and Intellectual Property
• Disclosure of AI assistance
• Academic integrity and transparency
• Human oversight in AI-assisted research
• Future of AI in academic and legal research
Final Project
Participants will prepare and present a:
MINI RESEARCH PROPOSAL USING AI RESEARCH TOOLS
Research Topic → Research Problem → Literature Search → Research Gap → Research Questions → Methodology → Analysis Plan → References → Research Proposal
ABOUT THE FACULTY
Adv. Sakshi Kothari
The course is led by Adv. Sakshi Kothari, an accomplished legal professional with significant experience in litigation, legal education and commercial law.
She is currently practices as an serving as an Assistant Professor at ICFAI University, Dehradun.
She completed her BBA LL.B. from Amity Universityand further specialised by earning an LL.M. in International Trade and Investment from Gujarat Maritime University.
She has actively participated in and contributed to numerous legal conferences, workshops, seminars and professional development programmes as both a speaker and participant. Her practical teaching approach enables learners to connect theoretical concepts with practical applications and develop the skills required to conduct effective research and use modern AI research tools.
AI TOOLS COVERED
ChatGPT • Gemini • Claude • Microsoft Copilot • Perplexity • Google Scholar • Semantic Scholar • Consensus • Elicit • Research Rabbit • Connected Papers • SciSpace • Zotero • Mendeley • Grammarly • Microsoft Excel • Google Sheets
WHAT WILL YOU LEARN?
• AI-assisted academic and legal research
• Research prompt engineering
• Literature search and discovery
• Literature review and research gap identification
• Research methodology and design
• AI-assisted data analysis
• Academic writing and editing
• Citation and reference verification
• AI hallucination detection
• Fact-checking and source verification
• Responsible and ethical AI use
• Personalised AI-assisted research workflows
• Research proposal development
WHO SHOULD JOIN?
• Law Students
• Research Scholars
• PhD Aspirants
• Academicians
• Advocates
• Legal Professionals
• College & University Students
• Researchers
• Academic Writers
• Anyone interested in AI-powered research
CONTACT US 👇
8918383971
Email: Chemylaw@gmail.com
YouTube: @Lawchemy
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