Professional Services

Why now

Fee pressure and fixed-price delivery models mean clients want cost certainty and faster outcomes, and every hour a fee earner spends fighting a system instead of serving a client has a real, if rarely measured, cost.

Client experience has become its own differentiator: frictionless portals and fast turnaround are now expected, and downtime risks trust as much as revenue.

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Cyber has moved from a policy conversation to a commercial one.

Successful attacks on UK law firms rose 77% in a single year, PII insurers now price premiums against evidenced controls, and corporate clients increasingly write Cyber Essentials into procurement terms before they’ll sign.

Underneath all of it, growth by acquisition keeps adding new people and systems that the platform has to absorb without breaking.

For fee-earner firms, Ekco keeps people productive, client data secure, and platforms stable enough to hold through peak season, an audit, or the next acquisition. So partners spend their time on client work, not IT incidents, and the firm’s busiest weeks land on plan instead of in crisis.

AI only pays off on a governed data estate.

Every fee-earner firm is being sold AI as a productivity fix. The returns are real, but only where the data underneath is secure, structured and under control. Point AI at an ungoverned environment and it doesn’t save time, it just finds the same bad data faster, and hands you a new audit problem in the process.

Ekco gets that foundation right first, so AI gives fee earners hours back instead of a new list of problems to manage.

Who this is for

Managing Partners and Practice Leaders protecting billable time, client trust and reputation.
COOs and Operations Directors responsible for utilisation, margin and peak-period delivery.
CIOs, CTOs and Heads of IT balancing security and compliance against the risk of slowing fee earners down.
Heads of Risk and Compliance who need to demonstrate controls, not just describe them.
Heads of Productivity and Transformation trying to prove ROI on technology change.