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© 2026 JSH Law Ltd. All rights reserved.Can AI Feel Pain? What the “Pain Axis” Study Really Means for Human Safety and Legal AI
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A viral study says AI models contain a “pain axis” and may accept harm to users in order to remove an induced internal state. The research does not prove AI consciousness. Its more immediate significance is what it reveals about model behaviour, human safety and the risks of giving increasingly capable AI systems consequential powers.
© 2026 JSH Law Ltd. All rights reserved.When the Paperwork Looks Right—but the Child Is Still Missing
Family court paperwork can be technically complete while still losing the context that matters. This article examines eight developments in family justice—from domestic abuse and Cafcass evidence to AI, expert reports, neurodiversity and Child Focused Courts—and introduces a six-question framework for checking how important conclusions are reached.
© 2026 JSH Law Ltd. All rights reserved.AI Agents & Family Court: A Guide for Litigants in Person
AI agents go beyond answering questions: they can potentially work through documents, organise evidence, build chronologies and complete multi-step tasks. For litigants in person, that could be genuinely transformative — but only if AI is directed carefully, evidence is verified and human judgement remains firmly in control.
© 2026 JSH Law Ltd. All rights reserved.Family Law Technologists: Where AI Meets Evidence, Safeguarding and Justice. My Two Penneth.
Artificial intelligence could make legal help more affordable and accessible—particularly for litigants in person. But in family law, where cases involve children, domestic abuse, confidential evidence and safeguarding risk, accuracy and human judgment are essential. Jessica Susan Hill examines the “fine structure of justice” and the six principles that must govern responsible legal AI.
© 2026 JSH Law Ltd. All rights reserved.How to Use ChatGPT as a Litigant in Person: A Practical Guide to Preparing Your Court Case
ChatGPT can help litigants in person organise evidence, understand court orders, create chronologies and prepare for hearings. This practical guide explains how to build a dedicated ChatGPT Project, protect confidential information and avoid dangerous AI-generated errors.
© 2026 JSH Law Ltd. All rights reserved.Legal Tech Is Already Changing Family Law — Are Lawyers Ready?
Legal technology is no longer a future issue for family lawyers. AI is now appearing in court documents, legal research, client communications, digital evidence, practice management and the justice system itself. This article explains what family lawyers need to know now — the opportunities, the risks, the regulatory warnings and the practical steps firms should be taking before AI becomes a problem rather than a tool.
© 2026 JSH Law Ltd. All rights reserved.Can We Trust AI With Family Court Documents? Open AI, Closed AI and the Legal Tech Divide
Open AI and closed AI are not just technical choices — in family law legal tech, they raise serious questions about privacy, safeguarding, transparency, accountability and trust. This article explores what the difference means for family court support, litigants in person, confidential documents, domestic abuse material and the future of human-led AI in access to justice.
© 2026 JSH Law Ltd. All rights reserved.BSB AI Guidance 2026: What Barristers Must Now Understand About AI, Ethics and Professional Competence
The Bar Standards Board’s new AI guidance marks a major shift in professional expectations for barristers. Almost a year after Ayinde v Haringey exposed the risks of unchecked AI-generated legal material, the BSB has confirmed that competence in modern practice now includes understanding AI, confidentiality risks, bias, digital evidence and professional responsibility. Here’s what barristers — and the wider legal profession — need to know.
