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This week LawFairy, the SRA-authorised technology-only law firm which received its licence in February, went live and started taking paying customers for UK immigration eligibility assessments. The real test of the model begins now. Meanwhile, the CLA is developing the first collective AI training licence in the UK, a Commons committee inquiry on AI and the workforce closes for submissions tomorrow, and a Legal IT Insider discussion highlights how GenAI is reshaping client relationships in ways that go beyond efficiency.
LawFairy is live, and now the real test begins
LawFairy, the deterministic legal intelligence platform which received SRA authorisation in February (making it the second technology-only firm approved by the regulator, after Garfield), officially went live on 2 April 2026. The platform is now taking paying customers for UK immigration eligibility assessments across more than 55 routes, including Skilled Worker visas, settlement, and British citizenship, at £149 per report. Subscription tiers are available for immigration advisers and law firms.
The authorisation was the headline in February. The question now is whether the model works in practice. LawFairy does not use generative AI or large language models. It applies codified statutory rules to structured inputs, producing the same output for the same facts every time, with a fully auditable trail. That means it cannot hallucinate, which sidesteps the reliability concerns that have plagued LLM-based legal tools. But it also means it can only operate in areas where the law reduces to defined criteria rather than discretion or judgement. Immigration eligibility is about as good a fit for that as any area of practice.
Two developments since February are worth noting. First, LawFairy has partnered with Hogan Lovells to support cases involving undocumented children, which is a genuinely promising use of the technology for access to justice. Second, the platform now covers 55+ routes, a breadth that suggests the underlying rule engine is more than a simple proof of concept.
The broader point for the profession is not about immigration law specifically. It is that the SRA has now authorised a firm that delivers regulated legal outcomes to the public with no lawyer at the point of delivery, and that firm is live. Whether this model extends into other rule-dense areas (employment status, certain tax reliefs, regulatory compliance checks) will depend on whether the economics and the accuracy hold up. Early days, but worth watching closely.
Takeaways
Act: If you practise in immigration law, it is worth understanding what your clients can now access at £149 without instructing a solicitor.
Watch: Whether LawFairy's accuracy holds up under real-world use, and whether the SRA authorises further technology-only firms in other practice areas.
Risk: The pricing pressure is real for firms that derive significant revenue from high-volume, rule-based immigration work. The risk is not to complex advisory work but to the routine eligibility assessments that have traditionally been billed at solicitor rates.
Read: Artificial Lawyer / Legal Futures
On your radar
Commons AI inquiry closes for submissions tomorrow: The Business and Trade Committee opened an inquiry on 10 March into "Artificial Intelligence, business and the future of the workforce," examining AI's impact on UK businesses, adoption across the economy, skills needs, and whether the current regulatory framework is adequate. Written submissions close on Friday 3 April 2026. The inquiry sits alongside the Committee's broader priority of ensuring Britain can lead on AI while protecting workers. Why it matters for UK lawyers: this is a direct opportunity to shape parliamentary thinking on AI regulation. Firms with views on the regulatory framework, the skills gap, or the practical impact of AI on legal services should consider submitting evidence before tomorrow's deadline. The inquiry's terms of reference are broad enough to cover the legal sector specifically. (UK Parliament)
CLA developing first UK collective AI training licence: The Copyright Licensing Agency, working with Publishers' Licensing Services and the Authors' Licensing and Collecting Society, is developing what it describes as the first collective licence in the UK for the use of text in generative AI training, fine-tuning, and retrieval-augmented generation. The licence would allow rightsholders who cannot negotiate directly with AI developers to receive remuneration for the use of their works. The CLA added generative AI permissions to its business and public administration licences in May 2025, and the training licence has been in development since. Why it matters for UK lawyers: following the government's abandonment of the copyright opt-out (covered on 20 March), market-led licensing is now the most likely path forward. Firms advising publishers, authors, or AI developers should be aware that a collective licensing infrastructure is taking shape. The CLA licence, if it launches successfully, could become the default mechanism for lawful AI training on UK-published text. (CLA)
GenAI is reshaping how firms manage client relationships: A Legal IT Insider discussion hosted with Litera in March found that as generative AI reshapes legal services, client relationships are becoming more data-driven and more intentional. The discussion highlighted a double-edged dynamic: AI-driven efficiency gains are compressing traditional revenue structures and giving clients unprecedented ability to compare advisers through data, but the same technology gives firms an opportunity to be more proactive, using data to understand client needs and target the most profitable work. Firms that are transparent about how they use AI to drive efficiency will deepen client relationships; those that are not will face increasing pressure. Why it matters for UK lawyers: the shift from "are we using AI?" to "how are we using AI to serve clients better?" is now the relevant question for firm leaders. This is less about technology adoption and more about business strategy. (Legal IT Insider)
SRA research on public use of GenAI for legal issues due this month: As previewed in this newsletter on 12 March, SRA-commissioned research indicating that roughly a third of the public has used generative AI to help identify legal issues is due for publication in April 2026. The research is expected to cover the hybrid approach many clients are now taking (consulting both a solicitor and an AI tool), the risks of AI-generated hallucinations finding their way into court bundles, and the implications for solicitors' duty of competence. Why it matters for UK lawyers: when the research lands, expect it to inform the SRA's next round of guidance on AI use. Firms should be ready to review their own policies in light of whatever the data shows about how clients are actually using these tools. (SRA)
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For Review
Osborne Clarke: UK AI Regulatory Outlook, March 2026
A concise overview of where UK AI regulation stands after the government's copyright report, the Lords committee recommendations, and recent ministerial statements. Covers the proposed removal of copyright protection for computer-generated works, the planned digital replicas consultation, and the government's position on transparency and labelling. A useful briefing note for anyone advising clients on the regulatory landscape.
Read or listen: Osborne Clarke
Lexology: Technology and Digital Round-Up, March 2026
A comprehensive monthly digest covering AI, data, and digital regulation developments across the UK. Includes the copyright report, CMA agentic AI guidance, and other regulatory updates in one place. Useful for in-house teams and compliance officers who need a single reference document for March's developments.
Read or listen: Lexology
Legal IT Insider: Unpicking the Legal AI Market (Webinar Replay)
A webinar discussion between Legal IT Insider's Caroline Hill and Jylo founder Shawn Curran, examining the risks of law firms sharing their intellectual property with frontier AI models and whether firms building their own AI tools is wise or sustainable. The discussion raises the practical concern of firms developing "Frankenstein" technology stacks that quickly become obsolete. Worth watching for anyone involved in AI procurement or build-versus-buy decisions; a particular interest of this author.
Read or listen: Legal IT Insider
Practice Prompt
Try the below prompt to map which parts of your practice could, in principle, be handled by a rule-based or deterministic system (as opposed to generative AI or human judgement alone). Ensure you fill in context and constraints and other aspects marked with {}. Remember to adhere to the Golden Rules and do not upload confidential or privileged information to public tools.
You are helping a {solicitor / partner / head of innovation / in-house counsel} assess which tasks in their practice area could, in principle, be handled by a deterministic, rule-based system rather than generative AI or manual lawyer review.
Context: A deterministic legal system applies codified rules to structured inputs and produces the same output every time for the same facts. It does not use large language models, cannot hallucinate, and provides a fully auditable reasoning trail. It works best where the law is rule-dense, the inputs are structured, and the outcome turns on defined criteria rather than discretion or judgement. LawFairy, the first such system authorised by the SRA, has launched in UK immigration law covering 55+ routes.
My practice area is: {e.g., employment, residential conveyancing, personal injury, corporate compliance, debt recovery, family, regulatory}
For this practice area, produce a table with the following columns:
1. Task (e.g., "initial eligibility check", "limitation period calculation", "notice period calculation", "right to bring a claim assessment")
2. Rule-based suitability (high / medium / low) — based on how far the task turns on defined statutory or regulatory criteria versus discretion, context, or judgement
3. Input structure — what structured inputs would be needed (e.g., dates, employment status, salary, property type, claim value)
4. Current method — how this task is typically done today (e.g., manual review, template, junior lawyer, counsel)
5. Risk if automated — what could go wrong if a deterministic system handled this without lawyer oversight (e.g., edge cases missed, factual nuance lost, client-specific context ignored)
6. Verdict — one sentence on whether this task is a realistic candidate for deterministic automation in the near term
Then:
- Identify the 2-3 tasks with the highest rule-based suitability and explain what a minimum viable system would need to handle them reliably.
- For each, note whether the task involves a reserved legal activity under the Legal Services Act 2007 (and if so, what regulatory implications that creates for automation).
- Flag any tasks where you are uncertain about suitability and explain why.
Constraints:
- {Add any practice-specific constraints, e.g., "We handle complex multi-jurisdictional employment matters" or "Most of our conveyancing is standard residential freehold" or "Our clients are predominantly SMEs with straightforward contracts."}
- Do not assume that deterministic automation is always desirable. Some tasks benefit from human judgement even where the rules are clear. Note these honestly.
- Use UK legal terminology and legislation throughout.
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Thanks for reading,
Serhan, UK Legal AI Brief
Disclaimer
Guidance and news only. Not legal advice. Always use AI tools safely.
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