AI can make legal services faster, cheaper and more accessible. But if law firms use AI behind the scenes while billing as if every task was performed conventionally, the technology becomes a transparency problem. The issue is not whether solicitors may use AI. The issue is whether clients are told enough to understand the service, the risk, the supervision and the price.
Publication snapshot
- AI can improve access to legal services by reducing time, cost and administrative friction.
- The ethical problem arises when AI materially supports legal work but clients are not told how it is being used.
- Hidden AI use can affect client understanding, confidentiality, supervision, quality control and fee fairness.
- The SRA framework is relevant because solicitors must not mislead clients and must remain accountable for the service provided.
- The reform route is plain-language disclosure, independent audit, client-facing fee transparency and clearer regulatory standards.
Why AI transparency in legal services matters
AI is already changing the way legal work is produced. It can support document review, chronology building, contract analysis, case management, legal research, client intake, drafting and administrative triage.
Used responsibly, that is a genuine opportunity. AI can reduce cost, speed up routine tasks and make legal help more accessible to clients who are priced out of traditional services. For litigants in person, small businesses and individuals facing complex systems, that matters.
But the same technology creates a disclosure problem. If a client believes a task has been carried out entirely through conventional solicitor time, while the firm has relied substantially on AI-assisted review or drafting, the client may not understand what they are paying for, who supervised the work or what risks were managed.
Transparent AI use can help clients
The strongest case for AI in legal services is access. A properly supervised AI workflow can reduce repetitive work, identify issues earlier and allow lawyers to focus on judgment, strategy and client advice.
Transparent firms can explain this clearly. They can tell clients that AI may be used to assist with document review, drafting support, search, summarisation or process management. They can also explain that qualified professionals remain responsible for review, judgment and final advice.
That openness allows clients to make informed decisions. Some clients may welcome AI-assisted work if it lowers cost. Others may have confidentiality, sensitivity or complexity concerns. The point is that the client should not be left guessing.
The firm explains what AI may assist with, what it will not do, who supervises it and how it affects cost.
The client is left to assume traditional delivery while AI materially supports analysis, drafting or administration.
The risks of hidden AI use
Hidden AI use creates several risks. The first is client misunderstanding. A client may reasonably assume that work described as legal analysis, drafting or review has been undertaken by a human legal professional unless told otherwise.
The second risk is pricing. If AI reduces the time needed to complete a task, but the firm continues to charge as if the work took the same level of conventional human input, clients may question whether the fee reflects the service actually delivered.
The third risk is accountability. AI systems can generate plausible but inaccurate output. They may miss context, invent references, misunderstand legal nuance or reproduce hidden bias. If the firm has not built proper checking and supervision into its workflow, the client carries the risk of the shortcut.
How hidden AI can damage trust
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The firm adopts AI to reduce time, cost or administrative burden.
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The client is not told where AI materially supports the work.
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The fee does not clearly reflect the efficiency gained.
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Trust breaks down when the client discovers that the service was not delivered in the way they assumed.
The ethical issues for law firms
The ethical question is not whether every use of AI needs a dramatic warning label. Routine technology has long been part of legal practice. Spellcheck, document search, e-disclosure tools, template systems and practice-management software are not new.
AI is different where it materially contributes to legal reasoning, document analysis, drafting or advice preparation. In those circumstances, clients may need to know enough to understand the nature of the service and the safeguards around it.
Four issues are especially important: informed client understanding, confidentiality, supervision and fee fairness. A firm using AI should be able to explain what data is entered, what tool is used, whether client material leaves the firm’s controlled environment, how output is checked and whether efficiency savings affect the fee.
Questions clients should be able to ask
- Will AI be used on my matter?
- What tasks will AI assist with?
- Will my confidential documents or personal data be entered into any AI system?
- Who checks the AI output before it is used?
- Does AI use reduce the time charged or the overall fee?
- Can I opt out of AI use for sensitive material?
Controls firms should have
- A written AI use policy for client work.
- Clear supervision and human review requirements.
- Confidentiality and data-protection safeguards.
- Checks for hallucinated authorities and factual errors.
- Fee transparency where AI changes the cost base.
- Audit records showing how AI was used on a matter.
The SRA and public confidence
The Solicitors Regulation Authority’s standards are not AI-specific in every respect, but the existing framework is directly relevant. Solicitors must not mislead clients, must act with integrity, must protect client interests and must remain accountable for their work.
That matters because AI can blur the client’s understanding of who did the work, how much professional time was used and whether a fee is fair. If a firm’s marketing suggests a fully bespoke professional service while substantial parts are produced through AI-assisted workflows, the transparency question becomes unavoidable.
There is also a public-confidence problem. The legal profession may see the SRA as a necessary regulator of minimum standards, but many consumers judge regulation by practical outcomes: whether complaints are investigated, whether unfair practices are deterred and whether firms are required to explain how services are delivered.
The firm can show that its AI use remains supervised, confidential, competent and consistent with professional obligations.
Clients can understand what service they received and why the fee charged was fair.
The case for stronger oversight
AI adoption in legal services should not be driven only by efficiency. If the technology reduces cost for firms without reducing cost for clients, it risks becoming another margin-expansion tool rather than an access-to-justice tool.
Stronger oversight does not have to mean banning AI or requiring disclosure of every minor technological aid. It means identifying when AI materially affects the work, the risk, the supervision or the fee — and requiring transparency at that point.
Oversight reforms
- Mandatory client-facing disclosure where AI materially assists legal analysis, drafting or review.
- Independent audits of AI workflows in firms using AI at scale.
- Clearer SRA guidance on AI, confidentiality, supervision, billing and client consent.
- Regulatory consequences where AI is used in a way that misleads clients or undermines competence.
Pricing reforms
- Plain-language explanations of how AI affects the fee estimate.
- Worked examples where AI-assisted workflows reduce expected time.
- Clear distinction between fixed fees, hourly rates and technology-supported delivery.
- Client choice where sensitive matters require human-only handling.
A call for ethical AI collaboration
The future of AI in legal services should not be written only by large firms, software vendors and regulators. Clients, litigants in person, technologists, legal educators, ethics specialists and access-to-justice organisations all have a stake in the answer.
The goal should be practical: AI systems that make legal help cheaper, clearer and more accessible without concealing risk or inflating cost. That requires transparent design, reliable supervision, clear client information and regulatory standards that keep pace with practice.
Legal Lens supports the development of technology that improves access to justice while preserving accountability. Anyone interested in transparent AI systems for legal services can contact contact@legallens.com.
Selected references
Solicitors Regulation Authority: SRA Principles.
Solicitors Regulation Authority: SRA Code of Conduct for Solicitors, RELs, RFLs and RSLs.
SRA and Law Society materials on AI, professional responsibility, client confidentiality, competence, billing and supervision should be checked before publication.
Practical conclusion
AI has the capacity to improve legal services. It can reduce friction, cut routine work and make help more affordable. That is why the legal sector should not respond to AI with fear or denial.
But the benefits of AI will not be realised if firms use the technology invisibly while preserving old pricing assumptions. Clients are entitled to understand how their work is being done, how risks are managed and how fees are calculated.
The path forward is not anti-AI. It is pro-transparency. Law firms that use AI responsibly should be able to explain it plainly. Regulators should expect nothing less.

