I help law firms improve enquiry handling, document intake, client updates and knowledge work without weakening confidentiality, supervision or legal judgement.
For firms that need better-fit matters, clearer intake and less fee-earner time lost to poor-fit enquiries, while keeping confidentiality, conflict checks and supervision handled properly.
The useful question is commercial: which enquiry, document request, conflict check, client update or matter-opening step is wasting fee-earner time or weakening client confidence?
The outcome is better-fit matters, clearer intake, faster follow-up and safer AI use that stops before it becomes legal judgement.
I would look at enquiries, intake, conflict checks, document handling, status updates and knowledge access before touching anything that looks like legal judgement.
The goal is simple: get better-fit matters to the right person sooner, reduce wasted fee-earner time and keep confidentiality, supervision and professional standards intact.
For a legal-services workflow, document data access, confidentiality constraints, review points and the supervising person's responsibilities. Have the firm assess the design before any client-facing use.
I am not trying to replace solicitors. I am trying to stop billable people losing time to intake admin, repeated updates, document handling and avoidable follow-up.
On the call, we use your real operating context: matter values, fee-earner capacity, support load, client-update pressure and operational risk. No made-up benchmark theatre.
You get automation that helps commercially and still stands up to confidentiality, supervision and duty-of-care scrutiny.
The controls behind these outcomesThe controls behind the outcomes
Efficiency helps, but the firm still has to protect client trust, confidentiality and professional standards.
Secure, auditable automation with clear rules for client data, privilege, retention and human review.
Identify client-confidentiality and supervision requirements before designing the automation. Keep the firm's judgement on whether the controls are sufficient separate from the technical build.
Defensible AI that meets your professional duty of care requirements, with complete documentation.
My governance framework gives partners, clients and risk teams a clear view of what the automation does and where human review sits.
Explore the ProtocolNo black boxes. You should know what the automation is doing, what data it uses and where a person checks it.
Complete records of every automated decision, ready for regulatory inspection at any time.
The first useful fix should be narrow enough to govern properly. The same approach can improve:
Capture the right details before a fee earner spends time on the wrong matter
Keep documents, drafts and review points easier to find
Reduce routine updates, chasers and handoff delays
Keep a clearer record of activity, ownership and review
For deeper intake and follow-up modelling, use the supplemental legal services resource. The industry page stays focused on the broader matter, document, update and supervision picture.
Clearer triage and ownership without weakening confidentiality
The check is whether new matters are triaged, routed and reviewed with the right confidentiality and supervision controls.
Fewer avoidable handoff and update delays
The check is whether routine handoffs, updates and document chasing can happen without pulling fee earners out of billable work.
Clearer controls around routine legal work
The check is whether the firm can explain what automation did, what a person reviewed and where professional judgement stayed in control.
Law firms can use AI to reduce admin, but the line has to be clear. Client confidentiality, privilege, supervision and professional judgement cannot be treated as an afterthought. The safest projects start where the commercial pain is real and the review points are obvious.
Capture enquiry details, conflict-check prompts, urgency and practice area routing before fee earners spend time on the wrong prospects.
Support collation, summarisation and drafting where the source material, permissions and review process are clear.
Define approved tools, client-data rules, supervision, audit trails and partner accountability before wider rollout.
I would not start with legal advice, case strategy or anything where an AI output could be mistaken for a solicitor's judgement. Those areas need stricter design and review.
The better starting point is usually intake, triage, follow-up, document collection, internal knowledge retrieval or first-draft support with a named reviewer.
Start with a discovery call to find where time, matter control or client trust needs clearer ownership
Bring the matter, data or governance question. The aim is a practical view on what is worth improving first.