Inside KM

The legal profession is entering a period of significant change. Generative AI is transforming how legal work is searched, drafted, and delivered. But AI cannot outperform the knowledge environment it depends on.


To Respond.

Knowledge Management must be Redesigned.

Strategy /  KM as firm infrastructure: operating model, ownership, investment, KPIs, knowledge product roadmaps


Content / Precedents, clause banks, playbooks, templates, checklists, matter learnings, lifecycle hygiene


Semantic Layer /  Taxonomy, metadata, ontologies, experience capture, data quality signals, standardised terminology


Technology /  DMS + portals + search, retrieval pipelines, knowledge graphs, workflow integration, AI assistants


Governance & Trust / Permissioning, ethical walls, audit trails, provenance, retention, vendor + model risk controls


Operating Models /  How the above connect: roles + workflows + incentives + controls + accountability.

Practical tools for KM, innovation, and law-firm leaders to build AI-ready knowledge that is usable, governed, and measurable.

Knowledge Management

Latest

Data


Data: The Operating System of the Modern Firm


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A deep dive on law firm financial management, pricing innovation, and data-driven decision-making in an AI-shaped market.

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Technology


From Artificial Intelligence to Orchestrated Intelligence. Building the Knowledge Backbone of the Modern Law Firm.


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From Experiment to Infrastructure: 

Why Legal AI’s Next Crisis Isn’t Capability, It’s Control


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Workforce


Connecting leadership reinvention, culture, data-led strategy and resilience at scale to reshape health, wellness and organizational sustainability across the legal profession


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When AI isn’t the bottleneck, knowledge is


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Risk & Regulation


Politics, crises, and investor shifts are rewriting the rules. Lawyers need a bold new playbook to master risk, regulation, and resilience in this volatile era.


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One Question:

How do we Build Legal AI that can be Trusted?


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