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On 30 June 2026, Baroness Valerie Amos published the final report of the Independent National Maternity and Neonatal Investigation. It is a national report, but its findings will feel painfully familiar to families affected by failings at individual NHS trusts. The investigation considered evidence from more than 10,500 women, birthing people and families, met more than 450 affected families, heard from more than 9,000 members of staff and examined maternity and neonatal services at 12 NHS trusts. Its conclusion was unequivocal: the system is fragmented, overly complex and too slow to learn. For anyone who has sat across a table from a mother whose baby has died, or whose child has been left with a serious and permanent injury, these findings are devastatingly familiar.
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On 30 June 2026, Baroness Valerie Amos published the final report of the Independent National Maternity and Neonatal Investigation. It is a national report, but its findings will feel painfully familiar to families affected by failings at individual NHS trusts. The investigation considered evidence from more than 10,500 women, birthing people and families, met more than 450 affected families, heard from more than 9,000 members of staff and examined maternity and neonatal services at 12 NHS trusts. Its conclusion was unequivocal: the system is fragmented, overly complex and too slow to learn. For anyone who has sat across a table from a mother whose baby has died, or whose child has been left with a serious and permanent injury, these findings are devastatingly familiar.
The energy sector does not stand still. Markets shift overnight, regulations evolve constantly, and every decision carries financial weight. In this environment, legal advice is not just about protection; it is about driving outcomes. Over the past 15+ years, I have built my career at the intersection of law and commerce, working directly with businesses where legal decisions influence real-world results. That experience has shaped a principle I apply to every client engagement today:
Artificial intelligence is now central to digital transformation strategies across almost every sector. Organisations are increasingly integrating AI into core business functions, from decision-making and customer engagement to operations and risk management. However, the pace of adoption has outstripped the development of robust controls, leaving organisations exposed to a rapidly evolving landscape of legal, regulatory and commercial risk. To effectively identify and mitigate these risks, organisations should focus on five key areas when deploying AI systems: regulation, governance, data privacy, intellectual property, and commercial contracts.
01 business & corporate
On 30 June 2026, Baroness Valerie Amos published the final report of the Independent National Maternity and Neonatal Investigation. It is a national report, but its findings will feel painfully familiar to families affected by failings at individual NHS trusts. The investigation considered evidence from more than 10,500 women, birthing people and families, met more than 450 affected families, heard from more than 9,000 members of staff and examined maternity and neonatal services at 12 NHS trusts. Its conclusion was unequivocal: the system is fragmented, overly complex and too slow to learn. For anyone who has sat across a table from a mother whose baby has died, or whose child has been left with a serious and permanent injury, these findings are devastatingly familiar.
The energy sector does not stand still. Markets shift overnight, regulations evolve constantly, and every decision carries financial weight. In this environment, legal advice is not just about protection; it is about driving outcomes. Over the past 15+ years, I have built my career at the intersection of law and commerce, working directly with businesses where legal decisions influence real-world results. That experience has shaped a principle I apply to every client engagement today:
Artificial intelligence is now central to digital transformation strategies across almost every sector. Organisations are increasingly integrating AI into core business functions, from decision-making and customer engagement to operations and risk management. However, the pace of adoption has outstripped the development of robust controls, leaving organisations exposed to a rapidly evolving landscape of legal, regulatory and commercial risk. To effectively identify and mitigate these risks, organisations should focus on five key areas when deploying AI systems: regulation, governance, data privacy, intellectual property, and commercial contracts.
02 disputes & resolution
On 30 June 2026, Baroness Valerie Amos published the final report of the Independent National Maternity and Neonatal Investigation. It is a national report, but its findings will feel painfully familiar to families affected by failings at individual NHS trusts. The investigation considered evidence from more than 10,500 women, birthing people and families, met more than 450 affected families, heard from more than 9,000 members of staff and examined maternity and neonatal services at 12 NHS trusts. Its conclusion was unequivocal: the system is fragmented, overly complex and too slow to learn. For anyone who has sat across a table from a mother whose baby has died, or whose child has been left with a serious and permanent injury, these findings are devastatingly familiar.
The energy sector does not stand still. Markets shift overnight, regulations evolve constantly, and every decision carries financial weight. In this environment, legal advice is not just about protection; it is about driving outcomes. Over the past 15+ years, I have built my career at the intersection of law and commerce, working directly with businesses where legal decisions influence real-world results. That experience has shaped a principle I apply to every client engagement today:
Artificial intelligence is now central to digital transformation strategies across almost every sector. Organisations are increasingly integrating AI into core business functions, from decision-making and customer engagement to operations and risk management. However, the pace of adoption has outstripped the development of robust controls, leaving organisations exposed to a rapidly evolving landscape of legal, regulatory and commercial risk. To effectively identify and mitigate these risks, organisations should focus on five key areas when deploying AI systems: regulation, governance, data privacy, intellectual property, and commercial contracts.
03 people & property
On 30 June 2026, Baroness Valerie Amos published the final report of the Independent National Maternity and Neonatal Investigation. It is a national report, but its findings will feel painfully familiar to families affected by failings at individual NHS trusts. The investigation considered evidence from more than 10,500 women, birthing people and families, met more than 450 affected families, heard from more than 9,000 members of staff and examined maternity and neonatal services at 12 NHS trusts. Its conclusion was unequivocal: the system is fragmented, overly complex and too slow to learn. For anyone who has sat across a table from a mother whose baby has died, or whose child has been left with a serious and permanent injury, these findings are devastatingly familiar.
The energy sector does not stand still. Markets shift overnight, regulations evolve constantly, and every decision carries financial weight. In this environment, legal advice is not just about protection; it is about driving outcomes. Over the past 15+ years, I have built my career at the intersection of law and commerce, working directly with businesses where legal decisions influence real-world results. That experience has shaped a principle I apply to every client engagement today:
Artificial intelligence is now central to digital transformation strategies across almost every sector. Organisations are increasingly integrating AI into core business functions, from decision-making and customer engagement to operations and risk management. However, the pace of adoption has outstripped the development of robust controls, leaving organisations exposed to a rapidly evolving landscape of legal, regulatory and commercial risk. To effectively identify and mitigate these risks, organisations should focus on five key areas when deploying AI systems: regulation, governance, data privacy, intellectual property, and commercial contracts.
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