For professional and financial services firms, information is one of the most valuable and sensitive business assets. However their data is stored if often stored inconsistently across email, shared drives, CRM systems and cloud platforms.

Without a clear framework for classifying that data, it becomes challenging to secure, manage, and use it effectively. And those risks grow exponentially in the AI enabled world. It’s therefore essential to create a framework to classify data so that your staff and AI tools know how it should be stored, distributed and secured.

Creating a data classification framework does not need to be complex. With the right structure and the right support, firms can put in place a practical model that reduces risk, improves compliance, and enables far more efficient use of technology.

Start with a clear understanding of your data

The first step is to identify what kinds of information your organisation holds. For most firms this includes:

  • Client related documents and communications
  • Financial records
  • HR and employee information
  • Internal documents such as strategy or work procedures
  • Regulated or sensitive material such as ID documents, case files, investment papers or contracts

A simple data map allows you to understand where information lives, who owns it, and how it flows through the organisation.

Define your classification levels

A good framework usually contains three to five levels. These should be written in plain English and easy for everyone to understand. Common examples include:

  • Public – safe to share openly
  • Internal – general business information
  • Confidential – sensitive firm data
  • Client Confidential – information relating to specific clients
  • Regulated – information covered by statutory or industry regulations

Each category should include examples, risk considerations and specific handling rules.

Document clear policies and responsibilities

Your data classification policy should lay out:

  • What each category means
  • How staff should classify information
  • How classified information should be stored, accessed and shared
  • Who is responsible for maintaining the framework

Policies must be concise and written in everyday language so that partners, fee earners and support staff can follow them with confidence.

Make it easy for staff to apply the classifications

A classification framework only works if it becomes part of daily behaviour. That means making it simple:

  • Build classification into templates, workflows and document creation
  • Provide examples and short guidance sessions
  • Use automation and technical controls wherever possible to reduce manual decision making

Review and improve regularly

Data classification is not a one off exercise. As your firm grows, adopts new systems, or increases its use of Artificial Intelligence, the framework should evolve. We suggest you review your classification policy every six months.

If you would like to know more about how to create a data classification framework, get in touch with us using this form.