Blog
Who will shape the future of UK lawtech?
The legal profession in England and Wales is broadly gender-balanced. The technology sector is not. Lawtech sits at the intersection of both.
AI and client confidentiality: the next regulatory faultline
The area most likely to expose firms to regulatory jeopardy in 2026 needs far more guidance: client confidentiality in the age of commercial AI systems.
How legal judgement is shifting in in-house practice
Across UK organisations, legal teams are now involved earlier in decision-making, often before proposals have taken a settled shape.
AI in family law – drawing the line for clients and lawyers
AI is becoming increasingly intertwined with family law. Clients are using it to draft initial enquiries, prepare statements and, in some cases, to support themselves as litigants in person.
Why AI and leadership choices will define law firm profitability in 2026
Despite rapid advances in legal technology, the future of law will not be determined by software alone. It will be shaped by leadership decisions.
Legal director: an alternative to partnership
Firms are increasingly acknowledging the need for alternative senior roles – positions that offer influence and recognition without the obligations of ownership.
It’s time for law firms to ask tougher questions
For years, many law firms have treated ID verification as a box-ticking exercise. Run a liveness check, match a face to a document and move on. But that is no longer good enough.
Business fatigue to AI will risk job security
Whilst we know professional learning has always been part of career paths, to hire, retain and keep talent, AI needs to be embedded as a core part of this training.
On good authority? GenAI and the reputational risks to law firms
As GenAI’s influence grows, so do the risks which are already playing out in courtrooms across England and Wales, where some early adopters are setting precedents they would rather not.
Why this is the year for law firms to embrace generative AI
After more than a year of pilots, proofs of value and early experimentation, firms are increasingly embedding AI into day-to-day workflows.











