Topic Collection
AI Governance
Accountability structures, controls, documentation frameworks, and defensible process design for organisations deploying AI in regulated environments.
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Essential AI Governance Reading
AI Governance
How prepared is your organisation to govern AI adoption?
Emran Datoo warns that many firms are experimenting with AI tools without a strategic framework. He highlights that AI governance is becoming critical for adopting organisations and invites managing directors and C‑suite leaders to join private AI strategy conversations to assess how AI activity is emerging, where governance gaps exist, and what structured leadership should look like.
AI Governance
Leadership visibility in AI experimentation
Akber Datoo explains that AI experimentation is happening across organisations but leadership often lacks visibility, creating a strategic gap. He invites managing directors and C‑suite leaders to 1‑to‑1 AI strategy conversations to assess AI activity and define structured leadership and governance.
AI Governance
Microsoft AI Tour – Agentic AI: Responsible AI and Frontier Organisations
Reporting from Microsoft’s AI Tour, Akber Datoo highlights the importance of agentic AI and responsible innovation. He notes Satya Nadella’s blueprint for frontier organisations: align AI with mission, measure real outcomes, reshape processes and accelerate innovation. Winners will invest in data, governance, security and skills.
AI Governance
AI Without Planning Becomes an Expensive Spend
Emran Datoo warns that selecting AI tools is the easy part; without planning, strategy and a clear roadmap, AI becomes an expensive spend. He invites law firm leaders to AI strategy conversations to assess capability, risks, governance and decision-making.
AI Governance
AI and the law: the time to wait and see is over
Sharing his article for The Law Society Gazette, Akber Datoo argues that AI is already embedded in legal professionals’ research, drafting and knowledge management. He emphasises that success depends on skill, judgement and context, and that AI should be treated like any other professional tool, used deliberately and responsibly.
AI Governance
UK Judge Uses AI to Summarise Legal Documents
This post notes that a UK judge used AI to summarise legal documents, illustrating that AI is entering the judiciary. D2LT emphasises the need for robust governance and transparency when incorporating AI into legal decision-making and invites stakeholders to discuss responsible adoption.
AI Governance
AI Agents – Regulation through Code: Law vs Code
This post summarises a panel at the University of Surrey’s TechFinSustain 2025 event discussing whether AI systems should be governed by code, law or both. Datoo notes that professionals need fluency in both law and code and that law and code must complement each other to navigate an AI-driven world.
AI Governance
AI & Sustainability at London Climate Action Week 2025
During London Climate Action Week, D2LT hosted a panel on AI and sustainability. The post emphasises that AI has both environmental cost and potential for climate action and calls for stronger standards, smarter prompts and cross-sector collaboration. Legal professionals must play a vital role in ensuring AI supports sustainability goals.
AI Governance
AI Governance & Ethics Survey: Key Findings and 2025 Resolutions
D2LT shares results from a global survey on AI governance and ethics. The majority of professionals use AI weekly, workplaces generally permit its use, but concerns about hallucinations and misuse remain. The post calls for strong governance frameworks, clear usage policies, upskilling and understanding of the evolving regulatory landscape.