eDiscovery and the Law: A Practical Workshop for Philippine Lawyers
- 5 Sections
- 60 Lessons
Day 1: The EDRM Framework & Localizing the Rule on Cybercrime Warrants (RCW)
- Module 1.1: Adapting the EDRM for the Philippine Legal System
- Lesson 1.1.1: Deconstructing the EDRM Lifecycle
- Lesson 1.1.2: Intersecting EDRM with the Rules on Electronic Evidence (REE)
- Lesson 1.1.3: Aligning Actions with the Rule on Cybercrime Warrants (RCW)
- Module 1.2: Jurisdictional Boundaries of Data Discovery
- Lesson 1.2.1: Legal Limits of Local Pre-Trial Discovery
- Lesson 1.2.2: Cross-Border Sovereignty & Cloud Data Storage
- Lesson 1.2.3: Overcoming Extraterritorial Data Request Hurdles
- Module 1.3: Sandbox Lab – Case Assessment Blueprinting
- Lesson 1.3.1: Ingesting Client Briefs inside CounselSuite
- Lesson 1.3.2: Automated Evidence Repository Data Mapping
- Lesson 1.3.3: Generating the Digital Discovery Strategy Brief
Day 2: Advanced Legal Holds, Custodian Mapping & Spoliation Mitigation
- Module 2.1: Engineering Effective Legal Hold Notices
- Lesson 2.1.1: Structural Components of Defensible Holds
- Lesson 2.1.2: Identifying Triggering Events and Preservation Duties
- Lesson 2.1.3: Enterprise Hierarchy Custodian Mapping
- Module 2.2: Managing the Preservation Process and Avoiding Spoliation
- Lesson 2.2.1: Neutralizing Automated Enterprise Deletion Rules
- Lesson 2.2.2: Auditing the Preservation Pipeline
- Lesson 2.2.3: Spoliation Risks and Adverse Inferences under Local Jurisprudence
- Module 2.3: Sandbox Lab – Custodian Mapping & Hold Issuance
- Lesson 2.3.1: Designing Custom Hold Templates
- Lesson 2.3.2: Live Network Deployment Tracking
- Lesson 2.3.3: Documenting Compliance Logs for Judicial Validation
Day 3: Proportionality, Defensible Collection & Expert Collaboration
- Module 3.1: Proportionality Negotiations & Cost-Shifting Arguments
- Lesson 3.1.1: Limiting Discovery Scope during Pre-Trial Conferences
- Lesson 3.1.2: Calculating Electronic Discovery Burden Metrics
- Lesson 3.1.3: Formulating Cost-Shifting Petitions
- Module 3.2: Defensible Collection & Working with Forensic Experts
- Lesson 3.2.1: Hardware Write-Blockers and Forensic Cloning Mechanics
- Lesson 3.2.2: Cryptographic Hashing (SHA-256) Integrity Baselines
- Lesson 3.2.3: Managing and Cross-Examining Tech Expert Witnesses
- Module 3.3: Sandbox Lab – Auditing the Forensic Trail
- Lesson 3.3.1: Evaluating External Collection Logs
- Lesson 3.3.2: Uncovering Cryptographic Hash Signature Mismatches
- Lesson 3.3.3: Drafting Evidence Exclusion Pleadings
Day 4: Technology-Assisted Review (TAR), Jera AI & Data Privacy Constraints
- Module 4.1: Introduction to TAR & Predictive Coding
- Lesson 4.1.1: The Mathematics of Predictive Coding (TAR 1.0 vs. TAR 2.0)
- Lesson 4.1.2: Keyword Optimization & Conceptual Clustering
- Lesson 4.1.3: Auditing AI-Driven Document Review Decisions
- Module 4.2: Data Privacy Alignment under RA 10173
- Lesson 4.2.1: Discovery Obligations vs. Data Privacy Act (DPA) Compliance
- Lesson 4.2.2: Legitimate Processing Frameworks for Litigation Evidence
- Lesson 4.2.3: Enforcing Irreversible Privacy Redactions
- Module 4.3: Sandbox Lab – AI-Driven Document Review
- Lesson 4.3.1: Ingesting Massive Chat Logs into Jera AI
- Lesson 4.3.2: Training the AI Model to Flag Responsive Files
- Lesson 4.3.3: Running Automated Privacy Masking and Redaction Scripts
Day 5: Managing Privilege, Electronic Production & Case Law Analytics
- Module 5.1: Managing Privilege and Production Formats
- Lesson 5.1.1: Constructing Defensible Privilege Logs
- Lesson 5.1.2: Selecting Optimal Production Output Formats
- Lesson 5.1.3: Assembling Standardized Load Files
- Module 5.2: Philippine eDiscovery Case Law Deep-Dive
- Lesson 5.2.1: Reviewing Supreme Court Precedents on Digital Admissibility
- Lesson 5.2.2: Rules on Authenticating Transient Server Databases
- Lesson 5.2.3: Evidentiary Weight of Encrypted Messaging and Social Media Logs
- Module 5.3: The Pre-Trial Discovery Tribunal Capstone
- Lesson 5.3.1: Electronic Evidence Package Markings
- Lesson 5.3.2: High-Stakes Mock Pre-Trial Discovery Hearing
- Lesson 5.3.3: Oral Defense of AI Discovery and Data Integrity Models
This program is completely practitioner-led. On this course, lawyers do not learn from academics or theorists alone; you will learn directly from the forensic experts who are "in the trenches" every day neutralizing active cyber threats, executing cloud data mirrors, and mapping cross-border asset recovery paths. This provides an unmatched level of real-world, practical insight that no generic competitor can replicate.
- 📜 Accreditation Status: MCLE Accreditation Pending
- 💻 Platform Delivery: Live Synchronous Interactive Workshop + Web-Based Cloud Sandbox Laboratory (The Valhalla Lab).
- 👥 Target Audience: Litigators, Trial Practitioners, Paralegals, In-House Counsel, and Corporate Compliance Directors. (No prior programming background is required).
- 🛑 Enrollment Restriction: Corporate and firm cohorts are strictly capped per intake to maintain individual server sandbox resource licensing for the live Jera AI analytics modules.
Want to submit a review? Login
- FAQs
1. Do I need an IT or computer science background to take this course?
-
1. Do I need an IT or computer science background to take this course?
No prior programming or software engineering experience is required. This workshop is custom-compiled specifically for legal professionals.
Every technical module is taught through user-friendly, web-based interfaces and guided visual sandbox platforms designed to bridge the gap between binary data and the law.
2. What does "MCLE Accreditation Pending" mean for my credits?
-
2. What does "MCLE Accreditation Pending" mean for my credits?The course application has been submitted to the Mandatory Continuing Legal Education (MCLE) Governing Board. We are tracking approval for compliance credit blocks under legal technology, trial skills, and substantive law. Updates regarding formal credit distribution will be issued directly to registered co-hosts and students upon certification approval.
3. Will we get hands-on experience with active data-review software?
-
3. Will we get hands-on experience with active data-review software?
Yes. During Day 3 and Day 4, every participant is allocated a dedicated sandbox partition inside Greyhawk's global cloud network. You will gain practical experience using CounselSuite and the Jera AI engine to run search parameters, perform predictive coding, and export court-ready production packets
4. Can law firms or corporate legal departments arrange private cohorts?
-
4. Can law firms or corporate legal departments arrange private cohorts?
Yes. The Academy Greyhawk delivers specialized, private enterprise training tracks customized to fit your firm's specific practice areas. Private cohorts can integrate case data simulations built around your team's custom requirements.
5. How are the virtual laboratory slots and software licenses allocated?
-
5. How are the virtual laboratory slots and software licenses allocated?
Because this executive program requires dedicated server infrastructure resource pools and individual software platform licensing for every student inside the Valhalla Lab, intake registration slots are strictly capped. Secure your slot early via our corporate registry channel.
