Ah. The bad pleading. 8pt font? Check. Unexpected capitalisation? Check. Unpredictable highlighting? Check.

Once upon a time, these were generated by unrepresented parties (or *gasp* other barristers) with time on their hands and/or a love for grandiose language.

Today, however, we are increasingly confronted with letters, pleadings or submissions that cite no specific facts, throw every cause of action into the mix, quote authoritative-sounding principles with no basis in law, and conclude with total confidence. Deep inside your mind you know it has likely been AI-generated.

Suddenly, the bad pleading can be generated at scale by anyone with a phone or a laptop and AI has changed the bad pleading from an occasional curiosity to a systemic feature of modern litigation.

In May 2026, the Bar Standards Board issued its Guidance on the Use of Artificial Intelligence and Other Technologies. Barristers are now expected to understand AI’s impact not only on their own practice, but also on the benefits and risks of technologies that may be adopted by opposing parties and clients.

What do you do when you are confronted with AI use? We’re here to lend a hand, with some assistance from the BSB guidance.

How to spot AI use

The reality is that AI expression changes, in the same way that human expression changes over time or with cultural shifts. The best way to spot AI use is to use AI yourself because AI experienced practitioners develop a feel for the texture and the limitations of AI-generated material.

Some recognisable characteristics are set out below. Now, no single feature is conclusive on its own. We must recall that AI is trained on huge volumes of written word, which means its stylistic conventions also appear in ordinary legal writing and would be natural. Presence may be expected (who does not like the rule of three occasionally), but saturation is atypical. And that may alert you to something more concerning:

  1. Over-formalised or generic legal language is the most common tell: ‘It is respectfully submitted that the Defendant has acted in a manner inconsistent with its legal obligations and in contravention of well-established principles of law.’ Text that seems to mimic legal syntax but without the specificity that the Civil Procedure Rules (or other rules) requires.
  2. Antithesis as the default sentence shape: ‘It’s not X, it’s Y.’ ‘X isn’t Y, it’s Z.’
  3. Fluent but non-specific reasoning: Large language models (LLMs) produce persuasive-sounding conclusions well. What they struggle to produce is the analytical chain linking legal test to a relevant fact.
  4. Repetition over substance: Multiple restatements of a point without any further development.
  5. The declarative closer: Certainty unsupported by evidence. It is a rhythmic device which is common in literature. LLMs default to confident assertion because their training rewards fluency, which is itself drawn from their data sets.
  6. Dated sources: Because there are training cut-off dates, LLMs may default to repealed procedural rules or case principles that have been overturned. A good example is when the authors – deliberately – tested an LLM on the test for a deprivation of liberty shortly after the Supreme Court’s decision in Attorney General for Northern Ireland [2026] UKSC 16. Claude also appears to be struggling with the loss of Cheshire West ([2014] UKSC 19).
  7. Our friend, the dream. It is fair to say that the reports suggest instances of hallucination are reducing upon new model releases, but they have not disappeared.

Keep calm and carry on

What should you do about it when you see it? Stay calm. It is easy to become preoccupied with others’ use of AI, but, much as with poorly drafted pleadings in the past, intervention is only necessary when it has a tangible impact on the proceedings.

Focus on substance, not attribution

You don’t need to prove AI use, and trying to will rarely help. Identify the legal defects instead: fabricated authorities, insufficient particulars, misapplied tests and unpleaded facts.

If the document was prepared by a lawyer, do your opponent the professional courtesy of notifying them of the problems you have identified (not just your suspicion of AI use) and give them the opportunity to correct it. If they do not correct it, then you are entitled to inform the court.

If the document was prepared by an unrepresented party, have your solicitor write to the party to flag the issue, highlight the risks they run with using AI (such as the loss of confidentiality), and – this may outrage some – point them towards legitimate sources, such as the website for the procedural rules or Bailii. Above all, direct them to sources where they can obtain legal assistance: pro bono centres in their area or the Law Society website to find a solicitor. Why? Because you will want the court to see that you did everything you could to assist if and when you knock out the claim and/or seek your costs.

Pull the levers

Poor authorities, blended tests and/or misidentified causes of action may expose weaknesses in the underlying case. Consider your formal options:

  • Seek better particulars.
  • Apply to strike out.
  • Ask for Scott Schedules to be ordered.
  • Be unafraid to apply for costs sanctions.
  • If the volume is excessive, invite the court/tribunal to impose page limits.
  • And if you are concerned evidence is being fabricated, ask for orders to produce originals.

If you are concerned that the unrepresented party may intend to use AI in a court hearing by use of a microphone, notify the court (copying in the other side) and invite the court to remind all that recordings within an AI application are records for the purpose of contempt of court proceedings.

The tools to deal with AI-generated pleadings exist; you may have to use them more frequently.

And what about me?

We all should be familiar with R (Ayinde) v London Borough of Haringey [2025] EWHC 1383 (Admin). If you are not, go and read it! Do not place your whole career on the line because you are pressed for time and think the shortcut is worth it.

As part of a barrister’s core duties, the BSB expects you to maintain a sufficient level of competence in technology and AI. Unexpected for some. A worryingly simplistic issue for others.

There remains no uniform definition of AI. So how can you understand it and the technology?!

Many organisations offer courses on understanding AI and if certification gives you comfort, then it undoubtedly will be worth it. But there are plentiful free resources available to help you learn more about AI.*

Your work

Time to put that GDPR training to good use. Read those juicy privacy policies! What protections are offered? Where is the data being processed? How confident are you that your work data is secure?

Get into the habit of data minimisation. Do you need to use full names or obvious details when communicating with others about your case?

If you can strip out personal data from the perspective of the recipient (we will not be getting into the DSG Retail Ltd v The Information Commissioner [2026] EWCA Civ 140 decision for the purposes of this article) then even though you are still processing personal data, you can be working in a way that reduces risks to the data subject and your clients’ confidentiality.

Your client

Doctors had their Google moment. Lawyers are having their AI moment.

Explain to your clients the risks they take when uploading their own documents. You may have to remind them that AI is trained on the general and that you are trained on the specific. AI is built for probability and your client is unique. Ultimately you may have to ask them to think about whether they would take a chance on suing the AI model if it made a mistake. And remind them of the one question every person should ask AI after it produces an answer: ‘Have you asked your AI what it got wrong?’

AI may be capable of drafting bad pleadings. It may be capable of drafting good pleadings. For practitioners, all we need to do is to deal with those pleadings, without tears. 


*IBM Technology has an excellent YouTube channel that discusses AI regularly, and Saara particularly enjoys the podcast, How I AI.

Saara will be speaking at the Bar Conference on 14 November 2026 in ‘The IT Crowd: 10 ways to get ahead with AI’.