Chapter 3: Information Governance

What Is Information Governance (IG)?

Information governance refers to a structured strategy designed to optimize data value while mitigating the associated risks. It treats information as an invaluable organizational asset, warranting comprehensive oversight to maintain its integrity, accountability, and preservation.

According to Gartner, a leading research and advisory firm, IG is defined as ‘the specification of decision rights and an accountability framework to ensure appropriate behavior in the valuation, creation, storage, use, archiving, and deletion of information’.

Key Objectives of Information Governance

• Recognizing and amplifying the value of data assets
• Efficiently addressing and preventing data-related issues
• Ensuring adherence to standards and policies concerning IG
• Defining and approving data policies, strategies, and related metrics
• Communicating data policies to the relevant audience
• Supervising and tracking data management initiatives.

Information Governance Frameworks

IG frameworks provide a structured approach, offering clarity on an organization’s IG strategy.

• Scope: Clearly defines the extent, goals, and responsible personnel of the IG programme.
• Policies and Procedures: Outlines overarching corporate policies related to the IG programme.
• Roles and Responsibilities: Determines essential functions and associated responsibilities.
• Internal and External Data Management: Describes data management specifics, including sharing policies, compliance requirements, and storage protocols.
• Continuous Monitoring: Outlines the mechanism for ongoing monitoring, risk assessments, and programme reviews.

The Importance of Information Governance

Information’s strategic importance is akin to other tangible assets, necessitating rigorous management to optimize its value and mitigate associated risks.

The benefits of a robust IG programme are:

• Aligns with organizational needs, priorities, and strategic objectives
• Prevents data breaches
• Ensures regulatory compliance, minimizing risks and penalties
• Enhances data analytics capabilities
• Optimizes return on investment in business intelligence
• Improves control over IT systems
• Raises awareness about key information policies
• Reduces costs linked with information storage and eDiscovery.

Kickstarting Your Information Governance Initiative

Launching an IG initiative requires a deep understanding of your organization’s strategic vision. Start by analyzing the organizational goals, identifying potential data issues, or spotting business opportunities that could lead to cost savings or revenue enhancement.

Key Areas to Address in Your Information Governance Policy

• Usage Policy: Outline data access parameters
• Accountability: Designate specific roles, such as a Chief Data Officer, to ensure policy adherence
• Records Management: Efficiently manage storage to optimize costs
• Compliance: Abide by legal, regulatory, and business mandates concerning data lifecycle
• Education: Ensure stakeholders are aware of and trained on the IG program
• Technology: Address IT governance, offering specialists clear guidelines on storage and access.

What Is Information Governance Reference Model?

The Information Governance Reference Model (IGRM) is a framework aimed at defining a unified governance approach to information. It emphasizes the linkage between the value and duty concerning information assets. The model clearly communicates process of the Information Governance Reference Model.

Unlike document or case lifecycle models, IGRM diagram is a responsibility model, focusing on identifying stakeholders and their respective roles concerning information, and the interdependence among them.

IGRM brings together various stakeholders (e.g., legal, business, IT) to manage enterprise information. It’s uniquely positioned as it highlights dependencies across key organizational stakeholders:

• Business: The business team generates and uses extensive data assets to drive operations, strategic decisions, and customer interaction. They rely on legal and IT to manage data compliance, security, and integrity for well-organized internal policies.
• IT: The IT department implements and maintains the technological infrastructure to support data management. The IT team works closely with the business and legal teams to manage the security and accessibility of enterprise information in compliance with regulatory requirements.
• Legal: The legal team ensures that regulatory and compliance mandates are aligned with data governance to mitigate legal risks associated with information management. IT team supports the legal team in implementing policies for defensible eDiscovery, and the business team ensures that they enforce compliance without disrupting the operations.

Difference Between Information Governance and Data Governance

Though sometimes used interchangeably, IG and data governance serve different purposes. While IG seeks to derive business value from data assets, data governance focuses on ensuring data reliability at operational levels.

IG broadly concerns the holistic management of information within an organization; data governance focuses more narrowly on the quality, consistency, usability, security, and availability of data used in an enterprise.

Key Differences in Focus, Objectives, and Stakeholders

• Focus: IG is comprehensive, encompassing all types of information, helping the stakeholders in making informed decisions. Data governance, however, primarily concerns the management and quality of ESI.
• Objectives: IG objectives may include compliance, risk mitigation, and the enhancement of the value derived from information. Data governance, on the other hand, aims to ensure data quality, accuracy, and security.
• Stakeholders: While both have overlapping stakeholders, Data governance often involves data stewards or data quality teams more directly.

Information Governance Principles

There are several key principles guiding information governance:

• Transparency: Processes and activities should be open and verifiable
• Accountability: Defined roles and responsibilities for information
• Integrity: Ensuring the authenticity and reliability of information
• Protection: Ensuring privacy, security, and compliance
• Compliance: Adhering to regulations, laws, and standards
• Accessibility: Information should be available when needed, but also restricted when necessary
• Retention: Proper storage and disposal based on business needs and legal requirements.

Adherence to these principles is not just a best practice but often a legal requirement. Transparent processes ensure trust, while accountability and integrity ensure that records are accurate and verifiable.

Challenges of Information Governance Programmes

Implementing an effective IG programme is not without its challenges. These can range from:

• Overwhelming data volumes and complexity
• Difficulty in achieving company-wide buy-in
• Navigating the dynamic landscape of regulatory requirements
• Integration of disparate IT systems and platforms
• Addressing the rapid evolution of technological advancements
• Balancing data accessibility with security needs
• Adequately training staff to follow IG policies and procedures.

Specific Challenges Faced in Legal Tech

For the legal tech world, there are additional challenges:

• Ensuring absolute data accuracy given the implications of errors
• Maintaining confidentiality of sensitive financial data
• Meeting strict regulatory deadlines for reporting and compliance
• Addressing industry-specific regulations and standards
• Navigating the transition from paper-based to digital record-keeping.
• Data readiness for litigation, investigations, regulator enquires, e-discovery, etc.

Benefits of Information Governance

Good IG brings several key benefits to organizations.

Enhanced eDiscovery Processes

IG streamlines eDiscovery by enabling easy identification and access to relevant information, substantially reducing the costs of litigation and discovery.

Better Risk Management and Compliance Adherence

IG policies classify data, allowing organizations to scale risk according to data types, ensuring high security where needed. With well-organized and accessible data, complying with regulatory requirements is far more manageable, thereby avoiding investigations, actions, and fines.

Improved Data Quality and Decision-Making

A robust IG programme ensures data quality, accuracy, and reliability, which are paramount for business continuity and informed decision-making in the legal tech sector.

Additional Benefits

• Safer and Secure Data: A systematic IG policy ensures data is kept safe and secure through established rules, standards, and responsibilities.
• Increased Productivity: IG promotes collaboration and intelligence information sharing.
• Reduced Costs: It encourages discerning data storage, eliminating unnecessary duplication, and minimizing storage costs.
• Efficient Data Access: Facilitates swift access to usable and classified data.
• Business Intelligence: Provides access to trending and historical data, empowering better decision-making.
• Lifecycles Efficiencies: Removal of data silos amplifies data value throughout its lifecycle.
• Regulatory Compliance: Ensures data is easily retrievable for regulatory requirements.
• Business Agility: Improves decision-making processes, thus reducing bureaucracy.
• Enhanced Customer Service: Standardizes how information is organized and accessed.
• Improved Employee Productivity: Ensures that the most up-to-date and relevant versions of information are easily accessible.
• Classification: Keeps data into relevant categories automatically for future use.

How GRC Software Can Help in Information Governance

GRC software refers to a set of tools that support organizations in ensuring that they meet their governance, risk management, and compliance needs. These systems help organizations manage overall governance and enterprise risk management, and demonstrate corporate compliance with regulatory requirements.

GRC software aids IG in multiple ways:

• Consolidated Framework: Offers a unified platform to manage governance, risk, and compliance.
• Automated Workflows: Streamlines processes and ensures consistency in data management.
• Risk Assessment: Identifies, evaluates, and prioritizes risks to ensure proper risk mitigation strategies.
• Regulatory Compliance: Automates the tracking of compliance with various regulations, ensuring timely adherence.
• Audit Trails: Provides robust auditing capabilities, ensuring full visibility and traceability.
• Collaboration Tools: Enhances communication among various departments involved in IG.
• Classification or Archival: Keeps data into relevant categories automatically for future use.

In the legal tech sector, GRC software can:

• Ensure Financial Data Integrity: By continuously monitoring and validating data entries and transactions.
• Automate Compliance Reporting: Facilitating timely submissions to regulatory bodies.
• Risk Management: Evaluating risks and providing insights for mitigation.
• Audit Support: Offering detailed logs and reports for internal and external audits.
• Enhance Data Security: By setting up strict access controls it ensures that only authorized personnel can access sensitive financial data.

How to Measure Information Governance Progress

Regular evaluation of IG progress is crucial. As with any strategic initiative, the effectiveness of IG policies and procedures can change over time due to evolving business needs, regulatory requirements, and technological advancements. Regular evaluations ensure that the IG programme remains relevant, efficient, and compliant.

Audits and reviews play a pivotal role, especially in industries like legal tech where precision, confidentiality, and regulatory compliance are crucial. Regular audits against the GARKP (Generally Accepted Record Keeping Principles) ensure that the organization’s recordkeeping is up to the mark.

Two key tools that help in measuring IG progress include:

• IG Reference Model: This model provides a tool for stakeholders to understand processes, practices, and responsibilities within their IG programme. It helps in mapping out the overall governance structure and ensuring that all aspects are catered to effectively.
• IG Maturity Model: Rooted in ARMA’s Generally Accepted Recordkeeping Principles, this model defines various IG programme levels, ranging from substandard to transformational. The ultimate goal for organizations is to achieve the transformational level, seamlessly integrating IG strategies with business processes to enhance competitiveness, cost-effectiveness, and customer service.

Information Governance Is Critical for Modern Organizations

Information governance, especially in industries like legal tech, is not just a best practice, it’s a necessity. As data volumes grow and regulatory requirements become more stringent, the need for a robust, scalable, and efficient IG programme becomes paramount. In an era where data is often referred to as the ‘new oil’, safeguarding and managing it effectively is not just a strategic choice—it’s a business imperative.

Conclusion

In conclusion, the data collection and preservation phase form the foundation upon which the integrity of the entire eDiscovery process rests. Employing defensible, well-documented methodologies safeguards the admissibility of electronically stored information (ESI) and ensures compliance with legal and regulatory obligations.

Legal professionals mitigate the risks of spoliation, sanctions, or evidentiary challenges by upholding a rigorous chain of custody and aligning each step with best practices. Mastery of this phase is essential—not merely as a procedural requirement—but as a strategic imperative that enables reliable analysis, informed case strategy, and, ultimately, the pursuit of just outcomes in the digital age.