Download Our Latest Course Catalog | Download Now
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Download Our Latest Course Catalog | Download Now
This certification helps legal professionals understand how to responsibly use AI in research, contract analysis, compliance, and case strategy. You’ll learn to use tools that streamline legal work, reduce costs, and improve accuracy.
Designed for lawyers, legal analysts, and compliance professionals, this course provides a strong foundation in AI’s legal applications, ethics, and regulatory impact.
AI is changing how legal work gets done. This course helps you use it to review documents, analyze contracts, research faster, and support stronger decision-making. You’ll explore case studies, real tools, and frameworks that apply directly to your role.
You’ll also learn to navigate legal risks, address bias, and use AI in line with ethical and privacy standards.
Basic understanding of legal concepts or legal systems
No prior AI or programming experience required
Interest in using AI to improve research and legal practice
Legal professionals and advisors
Legal compliance and risk management teams
Researchers and policy analysts
Legal operations and documentation specialists
Ethics and privacy officers
1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.
2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.
3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.
4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.
Course Overview
Course Introduction
Module 1: Introduction to Artificial Intelligence (AI) and Its Implications for Law
AI Basics
AI in the Legal Industry
Understanding AI Technologies
Module 2: Machine Learning Fundamentals for Lawyers
Foundations of Machine Learning
Machine Learning in Legal Contexts
Practical Machine Learning Tools
Module 3: Natural Language Processing in Legal Research
Basics of NLP
NLP Applications in Law
Advanced NLP Techniques
Module 4: AI in Contract Review and Management
Contract Analysis with AI
AI Tools for Contract Management
Practical Contract Management Scenarios
Module 5: Predictive Analytics in Legal Decision-Making
Introduction to Predictive Analytics
Predictive Analytics in the Legal Field
Implementing Predictive Analytics
Module 6: Ethical and Privacy Considerations of AI in Law
AI Ethics in Legal Practice
Privacy Concerns with AI
Regulatory Landscape for AI
Module 7: Legal and Regulatory Framework for AI
Current Legal Frameworks for AI
Drafting AI Regulations
AI and Legal Practice
Module 8: Implementing AI in Legal Practices
AI Integration Strategies in Legal Practices
Case Studies of AI in Law Firms
Future of AI in the Legal Profession
Optional Module: AI Agents for Legal
Understanding AI Agents
Case Studies
Hands-on Practice with AI Agents
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.
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.
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.
Testimonials
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