Why Qila?

Qila means fortress.

A fortress is not built to keep everything out. It controls what enters, protects what matters inside and creates a place from which people can operate securely.

That is how we think AI governance should work: not shutting useful technology out, but putting the right walls, gates and accountability around it.

Systems, security and the technical side of AI governance.

Technical foundation

Hassan's background spans Linux and DevOps administration, network and systems troubleshooting, firewalls, virtualisation, AWS services, monitoring and infrastructure support. His work has included server administration, outage investigation, access controls, backups, DNS, LDAP, Apache and secure system operation.

For a solicitors' practice, that matters because AI does not sit in isolation. It sits alongside email, Microsoft 365, case management systems, document storage, user accounts, permissions and third-party platforms. Assessing AI risk properly means understanding the infrastructure underneath those systems, how information moves between them and where technical controls can fail.

Beyond the visible network

A less conventional part of Hassan's background comes from hands-on cyber-investigation work in hostile online environments, including the dark web. That experience gave him direct insight into how malicious actors identify weaknesses, obtain access, exploit information and use apparently ordinary systems as routes into organisations.

That perspective is particularly relevant to solicitors' practices, where the information being protected can include client identities, privileged advice, financial information, litigation strategy and entire case files.

At Qila, Hassan applies that attacker-aware perspective to the way a practice uses AI. The question is not simply whether a tool is reputable. It is whether confidential information can enter it, who can access the output, what other systems it connects to, whether permissions are properly controlled and whether an AI-enabled workflow creates a route into material that should remain protected.

What Hassan does at Qila

A structured, practical approach to AI governance.

01

Assess

Understand current AI use, systems involved and where exposure may already exist.

02

Govern

Set clear boundaries, responsibilities and practical governance around AI use.

03

Train

Give staff and decision-makers clear guidance on safe, confident use.

04

Implement

Put agreed controls, processes and working practices into operation.

05

Monitor

Review how AI is being used over time and where new risks may emerge.

06

Support

Provide ongoing input as tools, workflows and regulatory expectations evolve.

Next step

Explore Qila services.

See the two clear starting points, what the Practice AI Audit covers and the support available after the findings are known.