A law firm’s data belongs to the firm. A vendor holds it for the firm. The vendor does not own it.
Firms put case files, client messages, financial records, and personal data into their platforms. Harm to real people can occur if this data is exposed. If a platform locks the data in one system, the firm loses visibility. It cannot see where the data is stored. It cannot export the data easily. It cannot verify who accessed it. You cannot protect data you cannot see.
know where your data goes.
Each new tool that touches client data adds a new system to defend. It also adds a new point of exposure.
AI tools add more risk. Their output is nondeterministic. The same input can give different results. This affects accuracy and accountability. Many firms adopted these tools before they asked what the tools can access.
Each firm decides if AI belongs in its workflow. But each firm must be able to answer these questions:
- What data can the tool reach?
- Who controls that access?
- Does the data leave your environment?
If you cannot answer all three, you are not ready to use the tool. Good AI needs good data infrastructure. Build security into that infrastructure from the start. Do not add it later.
security is a duty to your clients.
Rules for data retention and privacy are different in each jurisdiction, practice area, and client contract. A rigid platform cannot meet all of them. The firm must then choose between compliance and productivity. Staff make workarounds, such as exports to personal drives, shared passwords, and unapproved tools. Each workaround is an uncontrolled copy of client data.
The platform must adapt to the firm’s legal obligations. The firm must not adapt to the platform.
Clients do not choose a firm for its software. They choose a firm they trust to protect their information.
Open formats, flexible configuration, and full control of your data are not product features. They are the controls that protect that trust.
