AI Legal Intake: Lessons From Slater and Gordon’s Lawra

Lawyer at a desk with a laptop and paperwork talking with a couple seated in leather armchairs during a client consultation.

AI legal intake now has a high-profile Australian example. Slater and Gordon has launched Lawra, a free AI platform that lets people describe a problem in their own words and find out whether they may have a legal issue and what to do next, SMBtech reported on 13 October 2026. For any firm that still relies on a contact form and a callback, it is a useful look at what clients may soon expect, and at the design choices that keep intake AI on the right side of professional and privacy rules.

Here is what launched, why demand is there, and a checklist for an intake assistant your firm can stand behind.

What Slater and Gordon launched

Lawra is a publicly accessible platform. A user describes their situation and receives information about possible next steps, including whether they should speak to a lawyer. It may connect them with a Slater and Gordon lawyer or point them to other legal pathways and services.

The firm says Lawra was developed and is supervised by its legal team and is not intended to replace human legal advice. CEO Dina Tutungi called it “a first port of call for people who might be nervous about picking up the phone”, adding that it is about “keeping legal judgment with real-world lawyers”. The Lawra site says users do not need to know the legal category of their situation, and that for unfair dismissal and personal injury issues it can assess whether someone may be eligible for a claim.

During the pilot, more than 40,000 people visited the platform. Family law, personal injury, unfair dismissal, and wills and estates were the most common topics. Head of Legal Transformation Susan Accary said it has already led to people with novel personal injury claims being referred to a lawyer.

Why demand for AI legal help is real

Slater and Gordon released the platform alongside a survey of 1,085 Australians conducted by research firm Ideally on 29 September 2026. The results reflect stated views rather than observed behaviour, but they line up with what many practices see at the front desk:

  • 42 per cent said they do not know where to turn when they need legal help.
  • About one in three said they have delayed taking action because they were unsure of their rights.
  • 60 per cent said concerns about cost would deter them from speaking to a lawyer, rising to 67 per cent in households earning under $75,000.
  • 68 per cent said they would use a free AI tool that explains in plain language whether they might have a legal problem and what to do next.

That is the commercial case for intake AI: people who would otherwise walk away can understand their situation and reach the right lawyer at any hour, without a fee conversation as the first step.

Four design choices worth copying

You can apply the same principles to your own intake.

1. Start with the person’s words, not a legal category

Most people cannot say whether their problem is employment, insurance or tenancy law. A conversational assistant can ask follow-up questions and sort it for them. That is a natural fit for an AI chatbot grounded in your practice areas rather than a general-purpose model answering from the open internet.

2. Route, don’t advise

Lawra is positioned as information and a gateway, with legal judgment staying with lawyers. Your assistant should make the same line clear: explain options in plain language, collect the facts a lawyer needs, flag urgency and time limits for review, and hand over to a person.

3. Keep lawyers in charge of the content

Slater and Gordon says its legal team developed and supervises the platform. Grounding answers in firm-approved material with retrieval-augmented generation (RAG) means the assistant draws on content your lawyers have checked, and you can see which source it used.

4. Keep data onshore and out of training

Lawra’s data is stored in Australia, the platform does not train on user data, and queries are treated as confidential, the firm said. Our guide to private LLM options in Australia covers the hosting choices.

The professional rules that apply to intake AI

The Law Society of NSW’s guide to responsible use of AI (January 2026) lists streamlining client or matter intake among the ways generative AI can help a practice. It also reminds solicitors that:

  • putting confidential client information into a publicly available generative AI system is akin to putting it in the public domain, is likely to breach confidentiality, and clients may lose privilege;
  • law practice principals are responsible for the legal services their practice provides, so they need policies for, and supervision of, how AI is used;
  • before adopting a tool, firms should review contracts for how prompts and data are stored, apply least-privilege access, test outputs against benchmarks, and consider a client’s need for onshore hosting.

The AI selection and use checklist from Queensland Law Society and the law societies of Victoria, South Australia, Western Australia, the ACT, the Northern Territory and Tasmania (February 2026) boils the decision down to two questions for small and mid-tier firms: can you meet your confidentiality obligations, and will the output be good enough to put your firm’s name to? It warns that free or trial services may not provide clear terms, and that the trade-off for a free service is often wide data access, which is usually inappropriate for professionals. It also notes that integrating a tool with practice management software bores “a large hole” in the firm’s confidentiality wall, so the privacy impact assessment needs to be more rigorous.

Our free AI for lawyers course walks teams through tool selection, AI policy, court practice notes and confidentiality.

Eligibility screening and the 10 December privacy change

An assistant that only explains options is lower risk than one that screens people in or out. From 10 December 2026, APP entities must explain in their privacy policy when a computer program makes, or does something substantially and directly related to making, a decision that could significantly affect an individual’s rights or interests using their personal information, the OAIC says. If your firm is covered by the Privacy Act and an intake tool decides who gets a call back or whether a claim looks eligible, check whether that obligation applies. We explain the change in automated decision-making and the Privacy Act.

A practical checklist for law firm intake AI

  1. Define the job. Which practice areas, which questions, and what a good handover looks like. Set benchmarks before you build.
  2. Write the boundaries. Information, not advice; clear disclaimers; an easy way to reach a person at any point.
  3. Ground it in approved content. Lawyer-reviewed practice notes and FAQs, with sources visible to staff.
  4. Choose hosting and terms deliberately. Onshore storage, no training on prompts, and contract terms you have actually read.
  5. Limit access. The assistant should create a new enquiry, not read your matter files. Connect it to your CRM or practice management system with the narrowest permissions; our AI integrations work starts there.
  6. Escalate fast. Route urgent issues, such as a looming limitation date or a safety concern, straight to a person.
  7. Test, log and review. Test real scenarios before launch, keep conversation records, and have a supervising lawyer review samples regularly.

Weighing a simple assistant against something that takes actions? Read AI agent vs chatbot first. For intake, a well-scoped assistant with a human handover is usually the right starting point.

Where regulation is heading

The bipartisan parliamentary inquiry into AI has sent “early advice” to the Prime Minister recommending independent safety checks of AI companies, with its final report due at the end of November and the government aiming to introduce legislation on national AI standards by the end of the year, the ABC reported on 13 October. Those proposals target frontier AI developers, not law firms, but the direction is clear: expect to show how your AI is supervised, not just say so.

This is general information, not legal advice. Check your professional and privacy obligations with your law society or a qualified adviser.

Plan an intake assistant your firm can stand behind

An AI business audit maps your enquiry flow, the data an assistant would touch, and the approvals and records to put in place first. Aideveloper builds legal AI intake and review tools with lawyer oversight built in. Talk to us about your practice.

Featured image: Photo by Pavel Danilyuk on Pexels.