AI for Legal Industry and Contract Analysis Training Course

Module 1: Foundations of AI in the Legal Industry

• Evolution of Law: From manual research to Computational Law (CompLaw)
• Defining the Legal AI stack: Machine Learning, NLP, and Knowledge Graphs
• Identifying high-impact ROI in law firms and corporate legal departments
• The role of "Big Data" in legal precedents and case law
• Challenges of AI adoption: Resistance to change and the billable hour model
• Practical session: Conducting a "Tech Maturity" audit on a sample legal department workflow

Module 2: Data Engineering for Legal Documents

• Handling unstructured data: Digitizing and OCR-ing paper-based legal records
• Extracting structured data from heterogeneous contracts and filings
• Managing taxonomies and legal ontologies for better document classification
• Data cleaning: Dealing with legalese, archaic language, and formatting inconsistencies
• Building a secure "Legal Data Lake" for firm-wide intelligence
• Practical session: Building a data pipeline to convert a batch of PDFs into machine-readable text for analysis

Module 3: Natural Language Processing (NLP) for Contract Analysis

• Named Entity Recognition (NER) for identifying parties, dates, and jurisdictions
• Clause extraction: Identifying specific provisions (Force Majeure, Indemnity, Termination)
• Semantic search vs. Keyword search: Finding concepts instead of just words
• Sentiment analysis in legal correspondence and settlement negotiations
• Comparing agreements: Identifying "Redlines" and deviations from standard templates
• Practical session: Using a pre-trained NLP model to automatically extract key dates and parties from 50 service agreements

Module 4: Automated Contract Review and Due Diligence

• Automating the M&A due diligence process: Speeding up virtual data room reviews
• Identifying non-market terms and high-risk clauses in high-volume agreements
• Machine learning for automated "Red-Flag" reporting
• Benchmarking contracts against industry standards and company playbooks
• Workflow automation: Routing contracts for approval based on AI risk scores
• Practical session: Setting up an automated due diligence workflow to flag high-risk liability clauses

Module 5: Generative AI for Legal Drafting and Research

• Prompt engineering for lawyers: Drafting clauses, briefs, and legal memos
• Retrieval-Augmented Generation (RAG): Grounding LLMs in specific case law and statutes
• Using AI to summarize thousands of pages of discovery documents and transcripts
• Automated translation of international legal documents for cross-border matters
• Managing "AI Hallucinations" and verifying citations for court filings
• Practical session: Using a Large Language Model to draft a specific "Non-Compete" clause based on variable jurisdiction data

Module 6: Legal Analytics and Litigation Prediction

• Predictive modeling: Estimating the probability of winning a case based on historical data
• Judicial analytics: Analyzing judge behavior and past rulings for strategic planning
• Damage award prediction: Estimating settlement values in personal injury or commercial disputes
• Timeline analysis: Predicting the duration of litigation phases
• Competitive intelligence: Analyzing opposing counsel’s track record and strategy
• Practical session: Using a legal analytics platform to analyze the ruling patterns of a specific court

Module 7: E-Discovery and Information Governance

• Technology-Assisted Review (TAR): Moving beyond linear document review in litigation
• Predictive coding: Training systems to identify relevant vs. privileged documents
• Clustering and concept mapping for large-scale data investigations
• Information governance: Using AI to manage data retention and defensible deletion
• Reducing e-discovery costs through intelligent culling and prioritization
• Practical session: Implementing a predictive coding exercise to categorize documents for relevance in a simulated lawsuit

Module 8: AI in Regulatory Compliance and Risk Management

• Horizon scanning: Using AI to monitor global regulatory changes in real-time
• Automated compliance checking: Auditing internal policies against external regulations
• Anti-Money Laundering (AML) and Know Your Customer (KYC) automation
• Detecting fraud and insider trading patterns in corporate communications
• Mapping complex regulatory requirements to specific business processes
• Practical session: Creating an automated compliance monitor for a specific financial regulation

Module 9: Ethical AI, Privilege, and Bias in Law

• Maintaining Attorney-Client Privilege when using third-party AI platforms
• Identifying and mitigating bias in algorithms used for sentencing or hiring
• Transparency and "Explainability": Meeting the duty of competence in legal tech
• Data privacy in law: Navigating GDPR and local bar association rules
• The ethics of AI-generated work product and the "Duty of Supervision"
• Practical session: Conducting an ethical audit on a legal AI tool to identify potential privacy leaks or biases

Module 10: Building a Legal Tech Strategy and Roadmap

• Buy vs. Build: Selecting the right legal AI vendors and platforms
• Change management: Training legal teams to collaborate with AI assistants
• Measuring success: KPIs for AI integration in law firms vs. legal departments
• Future trends: The shift toward "Self-Service" law and decentralized legal AI
• Drafting a 12-month AI adoption roadmap for your organization
• Practical session: Developing a business case and strategic roadmap for an AI pilot project in your firm

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588