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Exam Code: CEDS
Exam Name: Certified e-Discovery Specialist (CEDS) Canada
Format: The CEDS Canada test consists of 145 multiple-choice questions- each with four answer options. The questions are scenario-based- reflecting real-world e-discovery challenges.
Duration: Candidates are allotted 4 hours to complete the exam.
Passing Score: The passing score is 69.6% (approximately 101 correct answers out of 145).
Availability: The test is available year-round at dozens of ACEDS-Kryterion Testing Centers across Canada.

The Certified E-Discovery Specialist (CEDS) Canada certification- offered by the Association of Certified E-Discovery certified (ACEDS)- is designed to validate the skills and knowledge of legal professionals in the e-discovery process- tailored specifically to Canadian legal practices and regulations. The CEDS Canada test covers a comprehensive range of courses across the Electronic Discovery Reference Model (EDRM) and related disciplines. Below is a detailed breakdown of the key courses and associated terminologies- based on available information and the structure of the CEDS program.

Key courses and Terminologies for the CEDS Canada Exam
The CEDS Canada test probes 15 e-discovery fields- selected by a global taskforce and validated through an ACEDS-sponsored worldwide survey. The test consists of 145 multiple-choice- scenario-based questions- covering the entire e-discovery lifecycle- Canadian legal frameworks- and practical applications. Below are the primary courses and their associated terminologies:

1. Information Governance
- Information Governance (IG): A framework for managing information assets to support organizational objectives while ensuring compliance.
- Data Retention Policy: Rules defining how long data must be kept and when it should be deleted.
- Data Map: A catalog of data sources- locations- and types within an organization.
- Records Management: Systematic control of the creation- maintenance- and disposal of records.
- Data Privacy: Compliance with laws like the Personal Information Protection and Electronic Documents Act (PIPEDA) in Canada.
- Spoliation: The intentional or negligent destruction or alteration of evidence- which can lead to legal sanctions.

2. Litigation Readiness and Project Planning
- Litigation Hold: A process to preserve relevant ESI when litigation is anticipated.
- Legal Hold Notification: Communication to custodians to preserve relevant data.
- E-Discovery Project Plan: A structured approach to managing e-discovery tasks- timelines- and resources.
- Custodian: An individual who has control over potentially relevant ESI.
- Preservation Obligation: The legal duty to preserve evidence once litigation is reasonably anticipated.

3. Identification and Preservation of ESI
- Electronically Stored Information (ESI): Digital data that may be relevant in litigation (e.g.- emails- documents- databases).
- Data Sources: Locations where ESI resides- such as cloud storage- email servers- or mobile devices.
- Chain of Custody: Documentation ensuring the integrity of ESI from collection to production.
- Data Preservation: Steps to ensure ESI is not altered or deleted during litigation.
- Metadata: Data about data- such as creation dates- authors- or file locations- critical for e-discovery.

4. Collection of ESI
- Forensic Collection: Collecting ESI in a way that preserves its integrity and authenticity.
- Data Extraction: Retrieving data from systems or devices for e-discovery purposes.
- Custodian Interview: Discussions with data custodians to identify relevant ESI sources.
- Remote Collection: Gathering ESI from devices or systems without physical access.
- Write Blocker: A tool to prevent alteration of data during collection.

5. Processing and Data Reduction
- Deduplication: Removing duplicate copies of documents to reduce review volume.
- Data Filtering: Applying criteria (e.g.- date ranges- keywords) to reduce irrelevant ESI.
- Native Format: The original file format of ESI (e.g.- .docx- .pdf).
- Text Extraction: Converting ESI into searchable text for analysis.
- Near-Duplicate Detection: Identifying documents with minor differences to streamline review.

6. Review and Analysis
- Technology-Assisted Review (TAR): Using machine learning or AI to prioritize or categorize documents for review.
- Predictive Coding: A form of TAR where algorithms rank documents based on relevance.
- Privilege Log: A list of documents withheld from production due to privilege (e.g.- solicitor-client privilege).
- Redaction: Removing sensitive or privileged information from documents before production.
- Relevance: Determining whether ESI is pertinent to the case based on discovery requests.

7. Production and Presentation
- Production Format: The format in which ESI is delivered (e.g.- PDF- TIFF- native).
- Load File: A file containing metadata and links to produced documents for use in e-discovery platforms.
- Bates Numbering: A system for uniquely identifying documents in discovery.
- Clawback Agreement: An agreement allowing parties to retrieve inadvertently produced privileged documents.
- Admissibility: Ensuring ESI meets legal standards for use in court.

8. International Discovery and Cross-Border Issues
- General Data Protection Regulation (GDPR): EU regulation impacting cross-border discovery involving personal data.
- PIPEDA: Canadas federal privacy law governing the collection- use- and disclosure of personal information.
- Blocking Statutes: Laws in some jurisdictions that restrict the transfer of data for discovery.
- Data Sovereignty: The concept that data is subject to the laws of the country where it resides.
- Hague Convention: An international treaty facilitating cross-border evidence collection.

9. Ethics in E-Discovery
- Technical Competence: The ethical duty to understand e-discovery technologies and processes.
- Solicitor-Client Privilege: Protection of communications between lawyers and clients in Canada.
- Duty of Candor: The obligation to be honest with the court regarding discovery processes.
- Proportionality: Balancing the cost and burden of e-discovery with the needs of the case.
- Sanctions: Penalties for failing to meet e-discovery obligations- such as spoliation.

10. Canadian Legal Framework
- Sedona Canada Principles: Guidelines for managing e-discovery in Canada- emphasizing proportionality and cooperation.
- Rules of Civil Procedure: Provincial rules (e.g.- Ontarios Rules of Civil Procedure) governing discovery processes.
- Case Law: Key Canadian cases- such as Leduc v. Roman (2009)- shaping e-discovery practices.
- Proportionality Principle: A Canadian legal standard ensuring discovery is reasonable relative to the cases scope.
- Discovery Plan: A court-approved plan outlining the scope and process of e-discovery.

11. Technology and Tools
- E-Discovery Platforms: Tools like Relativity- Everlaw- or Reveal for managing ESI.
- Cloud-Based Discovery: Using cloud platforms for storing and reviewing ESI.
- Search Terms: Keywords or Boolean queries used to identify relevant ESI.
- Analytics: Tools for visualizing data patterns or relationships in ESI.
- Encryption: Securing ESI during transfer or storage to protect confidentiality.

12. Cost and Risk Management
- Cost Shifting: Requesting the opposing party to bear certain e-discovery costs.
- Budgeting: Estimating and managing e-discovery expenses.
- Risk Assessment: Evaluating potential legal or technical risks in e-discovery.
- Defensibility: Ensuring e-discovery processes can withstand legal scrutiny.
- Quality Control: Measures to ensure accuracy and completeness in e-discovery tasks.

13. Data Privacy and Cybersecurity
- Data Breach: Unauthorized access or disclosure of ESI.
- Encryption Standards: Protocols like AES-256 for securing ESI.
- Privacy Impact Assessment (PIA): Evaluating how e-discovery affects data privacy.
- Cybersecurity Protocols: Measures to protect ESI from unauthorized access.
- Anonymization: Removing personally identifiable information from ESI.

14. Case Management and Collaboration
- E-Discovery Team: Multidisciplinary team including lawyers- IT- and litigation support professionals.
- Vendor Management: Overseeing third-party e-discovery service providers.
- Collaboration Tools: Platforms like Microsoft Teams or Slack for team coordination.
- Project Management: Applying methodologies like PMI to e-discovery projects.
- Stakeholder Communication: Engaging clients- courts- and opposing counsel in e-discovery.

15. Emerging Trends and Technologies
- Artificial Intelligence (AI): Using AI for tasks like predictive coding or document clustering.
- Machine Learning: Algorithms that Excellerate e-discovery efficiency through pattern recognition.
- Continuous Active Learning (CAL): A TAR method that continuously refines document prioritization.
- Cloud Computing: Storing and processing ESI in cloud environments.
- Blockchain: Emerging technology for ensuring data integrity in e-discovery.

Syllabus
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1. Information Management and Litigation Readiness
- Records and Information Management Policies and Practices
- Disaster Recovery Storage Media
- Elements of a Litigation Hold Protocol
- Tracking and Releasing Litigation Holds
- Managing the Litigation Hold

2. Project Planning
- Building the E-Discovery Team
- Challenges of Third-Party Hosted and Stored Electronically Stored Information

3. Litigation Hold Implementation
- Determining the Sources of Electronically Stored Information
- Elements of a Legal Hold Implementation Plan
- Effecting the Litigation Hold on Electronically Stored Information Storage Locations
- Elements of a Legal Hold Notice
- Implementing the Legal Hold Notice

4. Collection Planning and Implementation
- Managing Electronically Stored Information Collection from Servers and Clients
- Understanding Electronically Stored Information Collections Resources and Methods
- Validating Collection of Electronically Stored Information
- Not Reasonably Accessible Electronically Stored Information
- Determining if Electronically Stored Information Is Reasonably Stored

5. Data Processing
- Understanding How to Validate Your Process Data
- Evaluating Data Processing Tools and Resources

6. Data Culling
- Understanding Deduplication and Its Application
- Understanding How Culling Eliminates Irrelevant Electronically Stored Information

7. Review Planning
- Creating and Understanding Electronically Stored Information Review Sets
- Using Search Methods to Create Recovery Sets
- How to Validate the Review Set Protocols
- Understanding Near-Duplication 7.5 Elements of a Privilege Review
- How to Build a Privilege Log
- Using Analytic Methods to Implement a Review Strategy
- Designing and Managing Document Review
- How to Use Coding in the Review Process
- Structuring and Allocating Review Resources
- Choosing the Review Team

8. Document Review
- Understanding the Document Review Process
- Managing the Document Review Team
- Training Document Reviewers
- Validating the Document Review
- The Coding Frame for a Document Review Project

9. Data Production
- Understanding Data Production Formats and Delivery
- Metadata and Its Significance for the Production of Electronically Stored Information

10. Project Management
- Designing- Implementing- and Documenting the E-Discovery Project
- Legal Framework and Obligation
- Legal Holds and Data Preservation
- Legal Consequences of Preservation Failures
- Preservation Disclosures Under the US Federal Rules of Civil Procedure
- Preparing With Your Client for the E-Discovery Meet and Confer Conference
- Electronically Stored Information courses of the Meet and Confer Conference
- Costs and E-Discovery: Understanding Who Pays For What
- Litigation Counsels E-Discovery Duties and Responsibilities
- Responding to the Subpoena for Electronically Stored Information
- Understanding the Risks of Data Deletion in Automated Information Systems
- Producing Data in Reasonably Useable Formats
- Negotiating the Data Production Format
- The Protocol for a Forensic Inspections
- Protections Against and Remedies for Inadvertent Production
- The Electronically Stored Information Deposition of an IT Representative