5 Principles of Law Firm Data Governance
CJ Anderson
Helping Law Firms use Data Governance for Operational Excellence | Host of the Law Firm Data Governance Podcast
Data encompasses a wide range of information that a firm produces, acquires, and utilizes for its operations and for the benefit of its clients. This can include quantitative data, such as matter profitability and market analysis, as well as qualitative data, such as client feedback, employee insights, and brand perception.
In today’s digital age, data plays a crucial role in decision-making processes. Firms leverage data analytics to identify trends, optimize operations, and enhance customer experiences. For example, by analysing consumer behaviour, companies can tailor their products and marketing strategies to better meet customer needs.
Data management practices are essential for ensuring data integrity, security, and compliance with regulations such as GDPR or CCPA. Ultimately, the ability to collect, analyse, and use data effectively can provide a significant competitive advantage, enabling firms to innovate, improve efficiency, and drive growth.
Effective data governance helps firms protect sensitive information while maximizing the utility of their data assets. Iron Carrot recommends that once a firm has a robust and agreed definition of data (for example “Data is everything the firm produces, acquires, and uses - both for itself and its clients”), they focus on building out an action plan based on these 5 key principles of law firm data governance:
That’s not to say that these will be the only principles in use, but I have seen these in use as a consistent foundation across the majority of law firms that Iron Carrot works with.
Data Governance makes life easier not harder
A Data Governance Framework is the mechanism for the control (planning, monitoring, and enforcement) and leadership of data governance activities. Data governance ?plays a crucial role in streamlining processes, making life within the firm more manageable and efficient rather than burdening it with complexity.
Some may argue that implementing such a framework can initially complicate workflows. Critics suggest that the establishment of strict governance protocols may create additional layers of bureaucracy, hindering agility and slowing down decision-making processes. They contend that employees may feel overwhelmed by new policies and regulations, leading to frustration and resistance to change.
Iron Carrot recommends starting a data governance framework by building a community of people rather than by creating a data governance policy.
Data is owned by the firm, not by a team or an individual
It is important that everyone understands that data is the collective property of the firm, rather than belonging to individual teams or specific employees. This shared ownership fosters a collaborative environment where everyone acknowledges their responsibility in handling data.
Detractors argue that this perspective may dilute accountability. Without clear ownership assigned to specific teams or individuals, there can be confusion about responsibilities in data management. Critics suggest that this ambiguity may result in a lack of ownership, ultimately compromising data quality and integrity.
Iron Carrot’s experience is that Data Governance is usually required because no clear accountabilities (ownership) and responsibilities (stewardship) have been defined and implemented already. By focusing on data being owned by the firm, it is possible to make changes and break data out of functional silos by looking at roles and activities in a different way.
Data is managed strategically, not operationally
Data must be managed with a strategic approach, focusing on long-term goals and holistic management, instead of merely addressing day-to-day operational needs. This shift in perspective ensures that data is leveraged to its full potential, driving informed decision-making and innovation.
The notion of managing data strategically rather than operationally is advantageous, but some may assert that this strategic focus can shift attention away from immediate operational needs. In fast-paced environments, there may be a pressing demand for quick, pragmatic solutions, and a strategic lens could be seen as a hindrance when rapid responses are required.
Iron Carrots' recommendation to start with people, not policy, reinforces the creation of mechanisms and a culture of decision-making at strategic, tactical, and operational levels to ensure that holistic data management supports all of the firm’s data needs.
Data is a valuable asset, it should be high quality
Recognizing that data is a valuable and significant asset, firms need to prioritize its quality. High-quality data translates to better insights, improved performance, and ultimately, a competitive advantage in the marketplace.
Opponents of this approach may argue that the focus on high-quality data can overshadow the potential value of speed and innovation. In some cases, the pressure to ensure data accuracy could slow down progress, leading to missed opportunities in dynamic markets.
Iron Carrot suggests identifying the firm’s critical data assets (things that move between systems, are used in reporting, or are requested by clients) and focusing on the quality of this data. This reduces the need for high-quality data at source to several hundred rather than several thousand data points.
Good Data Governance means behavioural change
Lastly, successful data governance involves a fundamental shift in behaviours and attitudes across the firm. It requires individuals to embrace new practices and mindsets that reflect the importance of data stewardship, fostering a culture that values data integrity and responsible use.
Sceptics might argue that changing existing mindsets and practices can be a daunting task. Resistance to adopting new behaviours can limit the effectiveness of data governance initiatives. Moreover, the training and resources required for such a shift may not always be feasible within budget constraints, especially for smaller firms.
Iron Carrot’s experience is that by starting with people, prioritising a small number of data points, and using existing SMEs to help communicate and manage change, the task of behavioural change is less daunting than most people anticipate.
Final Thought
Data governance plays a crucial role in streamlining processes, making life within a firm more manageable and efficient rather than burdening it with complexity. By focusing data activities around data governance principles, it is easier for a firm to make significant progress.? I hope these prevalent law firm data governance principles help you to create a list of basic principles for your firm.
How Iron Carrot can help
Innovative law firms have big goals for improving the client experience through data innovation.
Through our extensive law firm background, we have developed a unique data governance road-mapping approach to help law firm leaders launch the proper foundation for their data strategy.
If you want to chat confidentially about how Iron Carrot can help your firm with its Data Strategy and Data Governance initiatives, then send me a Direct Message via my Profile, or book a call via the Iron Carrot Limited website.
#datastrategy #datagovernance #legal #lawfirm