Services / 01—06

Legal advice built
to be operated.

Each engagement begins with the real workflow and ends with defined owners, controls, records and next actions.

Scope depends on the facts, the organisation and the applicable professional and sector obligations.
01

Start with the work, not the tool.

AI readiness & use-case assessment

We examine the intended task, the people affected, the data involved, the decision being supported and the consequences of error. The result is a prioritised view of where AI can be used, where it needs stronger controls and where it should not be deployed yet.

Typical outputs

  • AI use-case register
  • risk and obligations map
  • deployment conditions
  • prioritised action plan
02

Make accountability visible.

AI governance frameworks

Governance should tell people who may approve a use, who owns the risk, when human review is mandatory, what must be recorded and how issues escalate. We translate those requirements into a framework your team can operate.

Typical outputs

  • governance framework
  • acceptable-use policy
  • accountability map
  • approval and escalation matrix
03

Know what enters the system and where it goes.

Privacy, confidentiality & data mapping

We map data flows across users, internal systems, AI providers and downstream outputs. The legal review can cover collection, notices, consent, sensitive information, privilege, confidentiality, retention, access and cross-border handling.

Typical outputs

  • data map
  • privacy impact assessment
  • collection and consent notices
  • cross-border data review
04

Put the control at the point of use.

Compliant workflow implementation

A policy is only effective when the workflow makes the right behaviour practical. We help define human review points, privilege and confidentiality controls, prompt and output handling, audit logs, record retention and exception pathways.

Typical outputs

  • controlled workflow design
  • human-review protocol
  • record and audit requirements
  • implementation checklist
05

Interrogate the promise and the terms.

AI vendor due diligence & contracting

We review what a provider does with data, which subprocessors and jurisdictions are involved, what security commitments exist, how models may use inputs, what audit rights are available and how the organisation can exit without losing control of information.

Typical outputs

  • vendor risk review
  • procurement checklist
  • contract and data terms
  • negotiation issues list
06

Give people decision rules they can use.

Training, briefings & incident readiness

Professional teams need more than awareness training. We develop practical scenarios, escalation thresholds and response steps for inappropriate disclosure, unreliable output, unauthorised tools, procurement gaps and other AI incidents.

Typical outputs

  • professional-obligations training
  • partner or board briefing
  • scenario playbook
  • incident-response protocol

Secondary capability

Related legal work,
kept in context.

These services support the same objective: a defensible decision that the organisation can implement.

Data, cyber & breach response

Legal sequencing, notification assessment, communications and remediation support when information or systems are compromised.

Commercial technology contracts

Provider, customer, licensing, data and implementation terms for technology-enabled services.

Regulatory advice & compliance roadmaps

A practical sequence for understanding obligations, documenting decisions and closing control gaps.

Fractional legal & compliance support

Structured senior support for recurring technology, governance, contract and regulatory questions.

Digital-asset disputes & crypto recovery

Evidence-led assessment, tracing and preservation strategy, legal process and realistic recovery pathways.

Fintech & emerging technology

Legal risk and product strategy where technology, data, digital assets and regulation intersect.

Have a defined use case or vendor?

Send the workflow and the decision it supports.

Start an enquiry