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AI+ Legal Agent Specialty (AP-2801)

AI is changing how legal teams review documents, research cases, manage contracts, and monitor compliance.

AI+ Legal Agent Specialty focuses on building intelligent agents that can support complex legal workflows with greater speed and consistency. You’ll explore LegalTech, NLP, eDiscovery, contract review, legal research, compliance, intellectual property, responsible AI, and practical agent development.

Overview

Overview

Legal AI agents can handle multi-step tasks that traditionally require substantial manual review and coordination. This course introduces how autonomous agents work and how they can be applied across modern legal practices.

You’ll explore GPT and NLP, eDiscovery, contract analysis, legal research, compliance monitoring, legal assistants, and intellectual property workflows.

The course also addresses bias, transparency, accountability, privacy, regulatory requirements, and human oversight. The capstone brings these skills together by guiding you through the development and refinement of a working AI legal agent.

Prerequisites
  • Basic understanding of legal workflows and legal processes

  • Interest in AI, automation, or legal innovation

  • No prior coding experience required

  • Familiarity with spreadsheets, cloud platforms, or other digital tools

  • Willingness to explore emerging technologies used in the legal field

Target Audience
  • Lawyers, paralegals, and legal assistants

  • Technology professionals interested in LegalTech

  • AI enthusiasts exploring legal applications

  • Legal technology and innovation professionals

  • Compliance officers

  • Contract managers

Exam Blueprint
  • Introduction to LegalTech and AI Agents – 5%
  • What is an AI Agent – 5%
  • GPT and NLP Foundation for Legal Agents – 9%
  • AI Agents for eDiscovery – 9%
  • Contract Review in Legal Workflows – 9%
  • Legal Research Agents – 9%
  • Compliance & Risk Monitoring Agents – 9%
  • Legal Chatbots & Virtual Legal Assistants – 9%
  • AI Agents for IP Filing and Patent Drafting – 9%
  • Case Outcome Prediction Agents – 9%
  • Ethics, Fairness, and Transparency in Legal AI – 9%
  • Capstone Project – Building Your AI Legal Agent – 9%
FAQs

1. Can the course be taken online?
Yes, the course is available through live virtual instructor-led training or a self-paced online option.

2. Is in-person training available?
Yes, classroom sessions are available through AI CERTs Authorized Training Partners.

3. Will I build an AI legal agent during the course?
Yes, the capstone guides you through preparing legal inputs, prompt engineering, testing, refinement, documentation, and presentation of an AI legal agent prototype.

Course Outline

Module 1: Introduction to LegalTech and AI Agents
  1. Introduction to LegalTech
  2. Evolution of Legal Technology
  3. Traditional Legal Tools vs. AI-Driven Systems
  4. AI Agents in Legal Workflows
  5. Goal Interpretation
  6. Autonomous Agent Actions
  7. Human-AI Collaboration
  8. Reducing Routine Legal Workloads
  9. Improving Legal Workflow Consistency
  10. AI and Legal Responsibility
  11. Task Delegation
  12. Ethical Considerations in LegalTech

 

Module 2: What is an AI Agent
  1. Introduction to AI Agents
  2. AI Agents vs. Traditional AI Tools
  3. Autonomous Multi-Step Legal Processes
  4. Task-Focused Agents
  5. Conversational Agents
  6. Goal-Driven Agents
  7. Simple Reflex Agents
  8. Learning-Based Agents
  9. AI Agent Architecture
  10. AI Agents for Legal Analysis
  11. Legal Agent Efficiency and Accuracy
  12. Compliance Applications
  13. Lexora Legal LLP Hybrid AI Agent Case Study
  14. Tools and Libraries for Legal Agent Development

 

Module 3: GPT and NLP Foundation for Legal Agents
  1. Natural Language Processing in Legal AI
  2. Processing Unstructured Legal Text
  3. Tokenization
  4. Stemming
  5. Lemmatization
  6. Dialogue Management
  7. Conversational Legal Agents
  8. Large Language Models
  9. GPT Models
  10. Evolution from N-Grams to Transformers
  11. Customizing GPT for Legal Work
  12. Legal Document Drafting
  13. Context-Aware Legal Assistance
  14. Prompt Engineering for Legal Applications
  15. Legal Accuracy in AI Outputs
  16. Jurisdiction-Specific Prompting

 

Module 4: AI Agents for eDiscovery
  1. Traditional eDiscovery Challenges
  2. High Costs and Human Error
  3. Large-Scale Legal Data Processing
  4. Semantic Pattern Identification
  5. AI-Driven eDiscovery
  6. Predictive Review
  7. AI Tagging
  8. Topic Indexing
  9. DISCO eDiscovery Platform
  10. Cecilia Q&A System
  11. AI in Legal Investigations
  12. Reducing eDiscovery Costs
  13. Bias in eDiscovery AI
  14. Transparency
  15. Data Privacy

 

Module 5: Contract Review in Legal Workflows
  1. AI-Powered Contract Review Agents
  2. Clause Extraction
  3. Risk Identification
  4. Automated Redlining
  5. Compliance Monitoring
  6. NLP for Contract Review
  7. Machine Learning for Contract Analysis
  8. Large Language Models in Contract Review
  9. Contract Review Automation
  10. Improving Review Accuracy
  11. Improving Contract Review Speed
  12. Workflow Consistency
  13. Scaling Contract Review
  14. Reducing Human Error

 

Module 6: Legal Research Agents
  1. Introduction to Legal Research Agents
  2. Challenges in Traditional Legal Research
  3. Information Overload
  4. Human Error and Research Inconsistency
  5. Context-Aware Legal Research
  6. AI for Evolving Laws and Regulations
  7. Fine-Tuned NLP Models
  8. Interpreting Judicial Text
  9. Case Summarization
  10. Precedent Extraction
  11. Automated Citation Generation
  12. Legal Research Across Complex Jurisdictions
  13. Improving Research Speed and Accuracy

 

Module 7: Compliance & Risk Monitoring Agents
  1. AI-Powered Compliance Monitoring
  2. Regulatory Risk Monitoring
  3. GDPR
  4. HIPAA
  5. DPDP Act
  6. Monitoring Regulatory Changes
  7. Automated Compliance Checks
  8. Real-Time Compliance Alerts
  9. Early Risk Identification
  10. Continuous Compliance Monitoring
  11. AI in Finance Compliance
  12. AI in Healthcare Compliance
  13. AI in E-Commerce Compliance
  14. AI in HR Compliance
  15. Proactive Governance
  16. Regulatory Update Monitoring
  17. Compliance Agent Integration

 

Module 8: Legal Chatbots & Virtual Legal Assistants
  1. Introduction to Legal Chatbots
  2. Evolution of Legal Chatbots
  3. Rule-Based Chatbots
  4. AI-Powered Legal Assistants
  5. Client Onboarding
  6. Legal Document Generation
  7. Improving Access to Justice
  8. Intake Bots
  9. Advisory Bots
  10. Rule-Based vs. AI-Based Systems
  11. Jurisdictional Requirements
  12. Professional Standards
  13. Ethical Considerations
  14. Regulatory Considerations
  15. Hands-On Compliance Alert Bot

 

Module 9: AI Agents for IP Filing and Patent Drafting
  1. AI in Intellectual Property Workflows
  2. IP Filing Automation
  3. Patent Drafting Automation
  4. Novelty Searches
  5. Automated Claim Generation
  6. Patent Documentation
  7. NLP for Patent Work
  8. Knowledge Graphs
  9. Transformer Models
  10. Technically Accurate Patent Claims
  11. AI Patent Management Tools
  12. Patent Tool Integration
  13. Inventor Input Collection
  14. AI-Driven Patent Workflows
  15. Ownership Considerations
  16. Liability
  17. Regulatory Compliance
  18. IP Management Case Studies

 

Module 10: Case Outcome Prediction Agents
  1. Legal Chatbots and Virtual Assistants
  2. Rule-Based Legal Chatbots
  3. AI-Powered Legal Assistants
  4. Client Onboarding
  5. Document Generation
  6. Improving Access to Justice
  7. Intake Bots
  8. Advisory Bots
  9. Regulatory Considerations
  10. Ethical Considerations
  11. Jurisdictional Guidelines
  12. Professional Standards
  13. Compliance Alert Bots
  14. Hands-On Legal Chatbot Applications

 

Module 11: Ethics, Fairness, and Transparency in Legal AI
  1. Ethical Challenges in Legal AI
  2. AI Bias
  3. Fairness
  4. Transparency
  5. Accountability
  6. AI Hallucinations
  7. Auditable AI Systems
  8. Explainable AI
  9. Legal and Regulatory Compliance
  10. Building Trust in Legal AI
  11. Autonomous Legal Agents
  12. Human Oversight
  13. Accountability Gaps
  14. Assigning Responsibility
  15. Global Regulatory Frameworks
  16. Ethical Frameworks for Legal AI

 

Module 12: Capstone Project – Building Your AI Legal Agent
  1. Define an AI Legal Agent Use Case
  2. Identify Legal Inputs
  3. Process Documents or Chat History
  4. Clean and Structure Input Data
  5. Prepare Data for AI Processing
  6. Prompt Engineering
  7. Generate Accurate Legal Outputs
  8. Generate Relevant and Actionable Responses
  9. Test Input-Prompt Combinations
  10. Refine Prompts
  11. Improve Agent Reliability
  12. Improve Agent Accuracy
  13. Build an AI Legal Agent Prototype
  14. Contract Reviewer Application
  15. Legal Advisor Application
  16. Document the Development Process
  17. Finalize Agent Features
  18. Prepare a User-Friendly Demonstration
  19. Present the Final AI Legal Agent
Note : A representative from Datacipher will contact you with further details
Payment Methods

At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:

Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.

Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.

Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.

These options are designed to make the registration process as smooth and flexible as possible for all participants.

Status

Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.

Guaranteed on Next Booking – The course will proceed once an additional student registers.

Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.

Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.

Half and Full-Day Training

At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.

The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.

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