Pillar
Legal AI and technology built from operating reality
Craig's legal AI writing is anchored in case progression, intake, workflow pressure, and delivery economics. The recurring argument is that useful legal AI emerges from operating discipline rather than presentation-layer hype.
Why this pillar exists
Essays on legal AI, workflow design, document systems, and the practical difference between useful legal technology and software theatre.
Essays
Writing mapped to legal ai and technology
These essay links make the pillar page a real internal-linking hub rather than a thin archive label. Under the governing brief, each pillar is intended to operate as a substantive thematic landing page in its own right.
Legal AI and technology · 10 min read
The Operator View of Legal AI
Why legal AI becomes commercially meaningful when it is wired into workflow, case movement, and accountable operating design rather than left as isolated assistance.
Legal AI and technology · 9 min read
What Legal AI Actually Changes in Case Progression
Why legal AI only becomes strategically important when it improves the movement of matters through intake, evidence, review, and next-action decisions.
Legal AI and technology · 10 min read
The Billing Paradox: Why Hourly Rates and AI Do Not Mix
How useful legal AI exposes the tension between time-based pricing and a service model that increasingly depends on visible process leverage rather than hidden effort.
Legal AI and technology · 9 min read
Build Versus Buy for Law Firm AI: A Decision Framework
A practical operating framework for deciding which parts of a legal AI stack should be bought, which should be built, and which workflow layers must stay under direct control.
Legal AI and technology · 10 min read
Document automation: what ten years of overpromising taught us
A decade of document automation investment has produced genuine capability gains, but the firms that extracted real value were those that treated it as an operating problem rather than a technology purchase.
Legal AI and technology · 10 min read
Legal AI agents: what is real and what is not
The legal market is saturated with claims about AI agents automating everything from intake to settlement, but separating genuine operational capability from vendor theatre requires a more disciplined framework than most buyers currently apply.
Legal AI and technology · 10 min read
Harvey, Legora, and Thomson Reuters: where the legal AI market is actually going
The legal AI market is no longer defined by demos or generic model access; it is being shaped by distribution, workflow depth, and the strategic positioning of platforms such as Harvey, Legora, and Thomson Reuters.
Related routes
Adjacent themes and next steps
The publication architecture works only if readers can keep moving. These links connect the current pillar to adjacent topics, the archive hub, and the core structural pages already live on the site.
Litigation finance as legal infrastructure
Writing on litigation finance, funding structures, underwriting logic, and the operating realities that shape whether claims can move.
Motor finance redress and the next UK compensation wave
Analysis of discretionary commission arrangements, redress economics, Supreme Court outcomes, and the operating questions surrounding motor-finance compensation.
The legal asset management thesis
Writing on legal asset management, ABS structures, legal-sector consolidation, data advantage, and the ownership logic behind modern legal businesses.