Highlights a "Profitability Inflection Point" where record 2025 profits masked structural fragility, including rising write-offs and declining billable hours. It argues that CFOs must now shift from simple financial visibility to proactive financial control to maintain sustainable growth.
Jamie Tso explores the emergence of the "Legal Quant," where lawyers utilise systems thinking and AI-assisted development to solve complex practice problems. A must-read for anyone tracking the shift from traditional legal practice to data-driven, systematic delivery.
This guide introduces "Fact Intelligence" as a mission-critical tool for legal teams to automate the extraction and analysis of facts from unstructured documents. It demonstrates how technology can reduce the manual burden of factual review while ensuring no key information is overlooked.
UKJT Consultation Paper on AI Liability (PDF)
[Internal AG resource] This consultation draft addresses the application of English private law to AI harms, with a primary focus on negligence and professional liability. It provides essential clarity on how courts may attribute liability to legal persons for the actions of autonomous systems.
Nicola Shaver explains why the Model Context Protocol (MCP) is the "universal connector" that legal tech needs to move beyond siloed AI tools. Read this to understand how standardized infrastructure will enable law firms to build secure, end-to-end AI workflows at scale.
This article details the FCA's long-term "Mills Review" into how AI will reshape retail financial services by 2030. It includes commentary on the regulatory need to remain technology-neutral while protecting consumers from the risks of autonomous agents.
The official call for input on AI's long-term impact on financial markets, focusing on competition and the customer relationship. A key reference for firms looking to align their AI adoption with the evolving expectations of the UK regulator.
Pim Betist interviews Christ'l Dullaert on why legal innovation is stalled by leadership and mindset rather than technology. Highlights why understanding change intellectually is insufficient if firm cultures do not allow for creative action and risk-taking.
A stark case study on how Midpage AI was used to draft a complex legal memo on immunity issues for a fraction of the traditional cost. Raises vital questions about the future economic model of associate work and the speed of high-level legal research.
Ethan Mollick argues that the most valuable skill in the age of AI agents is the "manager mindset." He explains why subject matter expertise is now more important than ever for providing the instructions and evaluation necessary to make AI work effective.
Horace Wu offers a pragmatic counter-argument to the "vibe coding" hype, warning that large firms cannot easily replace enterprise software with DIY tools. The piece focuses on the "verification gap" and the hidden costs of ensuring quality in AI-generated output.
Marlene Gebauer and Greg Lambert discuss recurring cycles in legal technology adoption and why we often repeat past mistakes. An insightful look at why firms must look beyond the "newness" of AI to understand the long-term patterns of implementation success.
Antti Innanen reviews Claude Cowork, a tool that lets lawyers orchestrate complex tasks within their own local folders. Marks a shift from lawyers being simple "shoppers" of legal tech to becoming architects of their own automated workspaces.
A deep dive into Cleary Gottlieb's strategic acquisition of a tech company to build bespoke internal AI infrastructure. Serves as a blueprint for firms looking to move away from off-the-shelf software towards owning their own technological stack.
Mark Smolik (DHL) challenges legal departments to move past buzzwords and align their tech strategies with business outcomes. Emphasises that the boldest move is not adopting AI, but fundamentally re-centring the legal function around client value and transparency.
The Broken Ladder Green Paper (PDF)
[Internal AG resource] This paper warns of a "Junior Cull" as firms automate the training tasks that traditionally build professional judgment. Essential for understanding the long-term risk to the legal apprenticeship model and the hollowing out of the associate pyramid.
An overview of how individual lawyers are using AI to build their own niche tools to solve daily practice frustrations. Highlights a new layer of the legal tech ecosystem where grassroots innovation is bypassing traditional procurement.
A critical look at how "vibe prototyping" can lead to "workslop" and environment-drag when expert verification is bypassed. Argues that the thoughtless introduction of AI agents by management can actively damage established productive workflows.
Technical detail on the latest Model Context Protocol apps and their ability to provide standardized feedback for autonomous operation. Crucial reading for understanding the backend infrastructure that will make AI agents truly useful in professional settings.
Sam Harden presents a vision of "Law Town," a legal practice fully optimised by AI agents to handle the administrative and routine heavy lifting. Explores the potential for a practice model where lawyers focus entirely on high-level strategy and client relationships.
A practical showcase of AI "skills" - modular tools for tasks like PDF processing and contract review. A great resource for legal technologists looking for ready-made components to power their internal AI automation projects.