Insights / Questions that shape the work
Questions worth
working through.
How to preserve evidence, make sound decisions and use AI responsibly. Essays on disputes, investigations and the organisation of legal work.
When a cyber or AI incident becomes a legal matter
Preserve the evidence, identify the decisions that cannot wait, and connect the technical response with an investigation and legal strategy.
Read the insight Strategy / Anticipating changeForecasting for legal decisions
Use forecasts and premortems to assess legal risks and opportunities, then compare the decision with what happened.
Read the insight AI implementation / Methods & responsibilityWhat makes AI dependable in legal work?
When a contract changes, can the AI workflow find the right evidence, revise its assessment and show what needs human review?
Read the insight Legal operations / Learning from LinearLegal work that stays connected
What legal teams can learn from Linear about keeping each question connected to its evidence, owner and next decision.
Read the insight The changing legal functionFrom AI access to lasting legal capability
A useful AI implementation leaves your team better able to do and assess its own work. Handover tests whether it does.
Read the insight Knowledge & earlier decisionsLegal knowledge people can use again
Earlier advice remains useful when people can trace its evidence, understand its limits and see when it needs review.
Read the insight Data sovereignty & agent useKeeping people in control of AI agents
Define what an agent may access and do, keep a record of its actions, and give people practical ways to intervene.
Read the insightBook / Working outline
Building the legal function.
Fourteen brief chapters on authority, teams, reliable data and AI. Each ends with a practical piece of work, from a clear mandate to a ninety-day operating plan.
Organisations of every size. In the age of AI.
Read the book outlineResearch / Evidence & methods
What AI tests show.
What you still need to check.
A detailed examination of legal AI scores, model explanations and research acceleration, grounded in primary documents and published code.
Sources reviewed 6 September 2026; LAB and Tenet figures rechecked 16 September 2026. Findings, interpretation and limits are identified separately.
Read the researchStart a conversation
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