Artificial Intelligence in the Courts: Updated Judicial Guidance and Practical Implications for Legal Professionals

The Judicial Office’s updated guidance on Artificial Intelligence (AI), issued in October 2025, marks a significant step in addressing the growing presence of AI tools in legal practice and court proceedings. As AI becomes increasingly embedded in administrative and legal workflows, this guidance offers a timely framework for judicial office holders and legal professionals to navigate its use responsibly. The guide offers an insight for practioniers as to the boundries of using AI. The bottom line, is if you submit it, it is your responsability. 

Safeguarding the Integrity of Justice

The guidance reiterates the judiciary’s overarching duty to protect the integrity of the administration of justice. In similar terms those appearing before the Courts must ensure that they are not using AI in a misleading manner.  AI tools, particularly generative AI chatbots like ChatGPT, Google Gemini, and Meta AI—are not substitutes for legal reasoning or authoritative research. They can be quite poor at understanding.  Their outputs are generated from probabilistic models trained on vast, often unverified datasets, and are prone to errors, biases, and hallucinations (fabricated citations or legal principles).

Key Risks and Responsibilities

• Accuracy and Verification
  AI-generated content must be independently verified. Judges and legal professionals remain personally responsible for all material submitted or produced in their name. The guidance warns of fictitious case law, misleading citations, and incorrect legal interpretations that may arise from AI use.
• Confidentiality and Data Protection
  Public AI platforms should never be used to process confidential or private information. Any input may be stored, reused, or exposed. Users are advised to disable chat histories and refuse app permissions that could compromise device security.
• Bias and Fairness
  AI systems reflect the biases of their training data. Legal professionals must remain vigilant and refer to resources such as the Equal Treatment Bench Book to mitigate discriminatory outcomes.
• Litigants and AI Use
  Increasingly, unrepresented litigants rely on AI chatbots for legal advice. Judges are encouraged to inquire about the source of submissions and remind parties of their responsibility for accuracy. Sadly AI, can produce lots of things that sounds like good arguments, but are sometimes a distriction from the good argument, which may or may not have been identified by AI. Indicators of AI-generated content include unfamiliar case citations, American spelling, actual line breaks between subjects, colour in headings and the presence of AI disclaimers or statements (e.g., “As an AI language model…” or a suggested follow up query).

Practical Tools for Identifying AI-Generated Content

There are several tools that can assist legal professionals in detecting AI-generated or manipulated content:

GPTZero (gptzero.me) - Designed to identify AI-written text, GPTZero is widely used in academic and legal settings to flag content that may lack human authorship.
Originality.ai (originality.ai) - This tool offers AI detection and plagiarism scanning, useful for verifying the authenticity of legal submissions and documents.
AI or Not (aiornot.com) - A simple interface that allows users to paste text and receive a probability score indicating whether it was generated by AI.
Deepware Scanner (deepware.ai) - Focused on detecting deepfake audio and video, this tool is relevant as courts face increasing risks from synthetic media and forged evidence.
Draftable (draftable.com) - While not an AI detector per se, Draftable helps compare documents side-by-side to identify subtle changes, including hidden “white text” or embedded prompts that may be used to manipulate AI systems.
AI systems themselves - Simply putting the text into a AI Chat and asking was it generate by AI, can provide you a generted report. 
AI Hallucination Cases (damiencharlotin.com) A website recording known halucination of legla cases, very useful list of cases previously generated from AI, and thus likely to appear again. 

Again where these sites are public use, no confidential infomration that is not already in the public domain should be entered into it. 

Conclusion

AI tools offer potential efficiencies in summarising documents, managing administrative tasks, and supporting legal drafting. However, their use in legal analysis or research remains fraught with risk. The Judicial Office’s guidance provides a clear framework for responsible engagement, emphasising verification, confidentiality, and accountability.
Legal professionals must remain informed and cautious, especially as AI becomes more accessible to litigants and embedded in legal processes. By combining judicial best practices with emerging detection tools, the profession can uphold the standards of justice in an increasingly digital age.

An AI tool should be treated as if it is a newly quailified case worker on the first day, full of enthusiasm to do their best, but often misdirected, and or incable of understanding through lack of expirence the key issue in the matter.