AI governance and readiness
You need a clear view of how AI is used, who owns it, and what to do next.
Current-state understanding, decision processes, a practical roadmap, and guidance written to be used rather than filed.
Practical, defensible AI governance.
Put AI governance into practice, choose worthwhile uses, and move forward responsibly—with support tailored to your organization.
For law firms of all sizes, corporate legal departments, and non-legal organizations.
The work is scoped to your needs, risks, and resources — not the size of your organization.
Tim Golden — legal-sector operating experience, governance judgment, and hands-on AI delivery.
- Nearly 30 years in legal technology at Am Law 50 and Am Law 100 firms.
- Running enterprise LLM infrastructure since late 2022.
What do you need to move forward?
Approach AI deliberately.
Start with a clear plan and appropriate safeguards.
Make room for innovation.
Explore what AI can do while managing the risks that matter.
Focus on worthwhile uses.
Direct effort toward use cases with a credible path to value.
Support for your next step
Data readiness for AI
A promising AI use is blocked by the state of the data behind it.
Ownership, quality, access, and integration assessed for the uses you care about, with improvement priorities and validation work defined.
AI implementation and adoption
You need to choose, build, or integrate something and have it survive daily use.
Platform and use-case evaluation, identity and data boundaries, workflow implementation, rollout, onboarding, and maintainable handoff.
Ongoing advisory and delivery oversight
Work is underway and you want it to stay aligned with business value and risk.
Prioritization, vendor and contractor assignments, acceptance criteria, delivery review, and clear accountability.
“Tim did a consulting engagement for us to help establish our AI governance framework and delivered exactly what I was looking for. I was impressed enough that I would have been happy to bring him on as our Head of AI.”
How an engagement works
Start with an assessment if your position is unclear, or a focused assignment if the need is defined. You decide what follows.
Two ways to begin
Decide what comes next
Approve scoped work, defer, or stop.
Pause or stop
You can finish with the assessment. No further work is owed.
Continue with agreed work
- Define
Write the guidance and decisions people will use.
- Deploy
Build or integrate, then hand it over supported.
- Oversee
Keep delivery aligned; feed evidence back into priorities.
Evidence loops back. What oversight and adoption reveal revises the priorities rather than sitting in a report.
Examples of work
Governed enterprise AI access
Built and ran centralized, governed access to generative AI for a global law firm, with identity controls, system integration, and adoption reporting for leadership.
Trusted data at scale
Built an independent framework to validate a firm-wide document migration covering roughly 135 million documents and 500 million access-control records.
Governance roadmap from evidence
For a business expanding AI across employee tools, a product, and software development: a current-state profile, a governance roadmap, a regulatory inventory, and an executive readout.
Full work examples and background
From Insights: What makes your data ready for AI?
Tell me what you're working toward.
Start with a bounded readiness assessment, or with a focused assignment if the need is already defined. Either way, scope, deliverables, schedule, and fees are agreed before work begins.