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Course Content
Module 1: Current Challenges in eDiscovery
Traditional eDiscovery Pain Points The Data Deluge: Volume, Velocity, Variety Cost and Time Implications Human Error and Inconsistency
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Introduction
Traditional eDiscovery Pain Points
The Data Deluge: Volume, Velocity, Variety
Cost and Time Implications
Human Error and Inconsistency
Current Challenges in eDiscovery
00:15:00
Module 2: How AI Supports Document Review
Introduction to AI in Legal Machine Learning Fundamentals for eDiscovery Natural Language Processing (NLP) in Document Review AI-Powered Document Classification and Tagging
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Introduction to AI in Legal
Machine Learning Fundamentals for eDiscovery
Natural Language Processing (NLP) in Document Review
AI-Powered Document Classification and Tagging
Module 3: Predictive Coding & Clustering
Understanding Predictive Coding (Technology Assisted Review - TAR) Active Learning Workflows Clustering for Conceptual Grouping Sampling and Validation Techniques
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Understanding Predictive Coding (Technology Assisted Review – TAR)
Active Learning Workflows
Clustering for Conceptual Grouping
Sampling and Validation Techniques
Module 4: Producing with Precision: Bates Stamping & Redaction
Automated Bates Stamping with AI AI-Assisted Redaction for PII/PHI Quality Control and Verification of AI Outputs
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Automated Bates Stamping with AI
AI-Assisted Redaction for PII/PHI
Quality Control and Verification of AI Outputs
Module 5: Integrating with LegalGPTs eDiscovery Tools
Overview of LegalGPTs Platform Hands-on with LegalGPTs AI Features Workflow Integration Strategies Case Studies: Success Stories with LegalGPTs
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Overview of LegalGPTs Platform
Hands-on with LegalGPTs AI Features
Workflow Integration Strategies
Case Studies: Success Stories with LegalGPTs
Module 6: Cost Savings and Compliance Considerations
Quantifying ROI of AI in eDiscovery Ethical Considerations of AI in Legal Practice Data Security and Privacy with AI Tools Regulatory Compliance and Best Practices
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Quantifying ROI of AI in eDiscovery
Ethical Considerations of AI in Legal Practice
Data Security and Privacy with AI Tools
Regulatory Compliance and Best Practices
AI for eDiscovery: From Collection to Production

Navigating the regulatory landscape for AI in legal is essential. This section will cover:

Relevant legal precedents and guidelines for AI in eDiscovery.
Best practices for defensibly using AI tools in litigation.
The importance of clear documentation and transparency in AI-driven workflows.
Staying updated on evolving legal and ethical standards related to AI.

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legalGPTs specializes in AI consulting, implementation, and training for the legal industry. Based in Kansas City, serving clients nationwide.

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