AI for personal injury lawyers in Australia: the jobs it helps with and the tools worth trying

Where AI helps in a personal injury practice

A PI file is heavy on documents and phone calls. Clinical notes, hospital records, wage records and medico-legal reports pile up, and the client rings for updates for months or years. Most of that work is reading, summarising and writing up, where today's AI tools are strongest. Judgement on liability, quantum and settlement stays with the lawyer.

If you want to see the call note job first, our free attendance note generator turns a sample call into a note with no sign-up. The billable time calculator shows what writing up calls by hand costs your fee earners each week.

Where CallNote fits, and who it is not for

CallNote does one of the jobs in that table: client call notes. We first built it while working inside an Australian law practice, where most client contact came by phone. It takes a transcript that already exists (from Aircall, Dialpad or Microsoft Teams, or pasted, uploaded or forwarded by email) and turns it into an attendance note in the firm's own format. There is no built-in legal template: you paste one of your own past attendance notes and CallNote builds a template from your headings, order and shorthand, or you use the general or chronological template.

It is not for you if you want help with medical records, drafting or research, because it does none of those. It never records calls, so if your phone system cannot produce a transcript, the only routes are uploading one, pasting one, or dictating your own recap as a voice memo after the call. It does not create time entries. It publishes notes to Clio (on the linked Clio contact) and has no connection to LEAP, Smokeball or Actionstep, where the route is copy and paste or PDF. You can see real CallNote output before deciding.

The jobs in detail

Medical record summaries and chronologies

This is the job most PI lawyers ask about first, and it is a real time saver. A dated list of consultations, diagnoses, referrals and time off work, pulled from a few hundred pages of clinical notes, gives a solicitor a map of the file. The NSW Supreme Court's practice note on generative AI expressly lists the generation of chronologies and the summarising or review of documents and transcripts among the purposes AI may be used for, subject to its rules on confidential material.

The catch is accuracy and source. Every line of an AI chronology should point to the page it came from, and someone should check the entries that matter: the first presentation, pre-existing conditions, gaps in treatment, and anything inconsistent with the client's account. Treat the chronology as an index to the records. It is not evidence of what the records say.

Drafting

AI drafts well from a good precedent and clear facts. Letters to insurers, requests for records, client updates and first drafts of briefs to counsel are all reasonable uses, and LEAP and Smokeball both build drafting into their systems. As with a junior's draft, you read every word and check every fact against the file.

Intake

AI can sort enquiries and pull out the date of injury, the state and the type of claim so a lawyer can decide quickly. It should never decide a limitation question or tell a caller they have no claim. Statutory time limits for motor accident, workers compensation and common law claims vary by state and scheme, and a missed date can end a client's claim.

Client call notes

A no win no fee practice lives on the phone. The calls that matter most are the ones about costs, offers and settlement instructions, and those are often written up hours later from memory. Our guide to file notes for personal injury lawyers covers what to record at each stage, and costs disclosure file notes covers the costs conversations.

An AI note from a transcript gets the detail down while it is fresh. It still needs a lawyer to review it, because the note is the firm's record of what advice was given and what the client instructed. If you are thinking about recording calls to get a transcript, check the consent rules first: they differ by state. See is it legal to record phone calls in Australia?

Research

General chatbots can produce Australian cases and citations that do not exist. Research products that answer from a known library of Australian law are safer. LexisNexis says Lexis+ with Protégé reasons from Australian primary law and commentary, links every answer to its sources, and checks citations against CaseBase. Even then, you read the authority before you rely on it.

Best AI tools for personal injury lawyers: the options compared

There is no single best AI for personal injury lawyers. The right tool depends on which job is costing you the most time. The table lists tools we checked on each vendor's own website in October 2026. Two of them are built mainly for United States plaintiff firms and are labelled that way. Prices are shown only where the vendor publishes them.

Sources: LEAP legal AI, Smokeball Archie, Lexis+ with Protégé, Claude pricing, EvenUp and Supio. For practice management systems and call notes in more depth, see attendance notes with LEAP, Smokeball and Actionstep.

A word on the US tools. EvenUp and Supio are well known in American plaintiff work, and their chronology features are close to what Australian PI firms want. Both are built around US plaintiff work (demand letters, HIPAA compliance), and neither site describes an Australian offering. Before an Australian firm sends client health records to any overseas tool, it needs to work through APP 8 of the Privacy Act (cross-border disclosure) and its confidentiality obligations.

Claude AI and ChatGPT for personal injury lawyers

General assistants like Claude and ChatGPT are good at summarising, restructuring and first drafts. For a PI firm the question is the plan. Anthropic's pricing page says Team and Enterprise plans do not train models on your content by default. Free and personal plans have different terms, and the OAIC recommends, as a matter of best practice, that organisations do not enter personal information, particularly sensitive information, into publicly available generative AI tools.

So use a business plan set up by the firm, with its terms recorded in your AI policy. A personal account on a lawyer's phone should never see a client's medical records. Our law firm AI policy template gives you the wording.

AI prompts for personal injury lawyers

Good prompts tell the tool what the document is, what you want out of it, and how to show its sources. These work on an approved business tool. Remove names and identifiers where the task does not need them.

1. Chronology: 'These are clinical notes from a general practice. List every consultation in date order with the date, practitioner, reason for attendance, diagnosis, treatment and any time off work. Give the page number for each entry. Do not infer anything that is not written.'
2. Pre-existing conditions: 'From these records, list every reference to the lower back before 1 March 2024, with the date and page. If there are none, say so.'
3. Gaps in treatment: 'From this chronology, list any gap of more than eight weeks between treatments, with the dates either side.'
4. Plain-English update: 'Rewrite this update for a client with no legal background. Keep every date and amount exactly as written. Do not add advice.'

The risks for a personal injury firm

Health information and the Privacy Act

A PI file is full of health information, and under the Privacy Act 1988 (Cth) health information is sensitive information, which gets a higher level of protection. The OAIC's guidance on commercially available AI products (October 2024) says privacy obligations apply both to personal information entered into an AI system and to output that contains personal information. Where client records go to a provider outside Australia, APP 8 applies. Ask every vendor where the data is stored, where the AI processing happens, how long it is kept and whether it is used for training, and keep the answers on file. Client communications are also confidential and often privileged: see AI note takers and legal professional privilege.

Subpoenaed records and court documents

Records you hold under the client's authority are one thing. Records produced on subpoena are another. Paragraph 9A of the NSW Supreme Court's Practice Note SC Gen 23 (issued 28 January 2025, commenced 3 February 2025) says material produced on subpoena, material subject to the implied (Harman) undertaking and material under suppression or non-publication orders must not be entered into any Gen AI program unless the practitioner is satisfied it stays within a controlled environment under confidentiality restrictions on the supplier, is used only for that proceeding, and is not used to train any model.

SC Gen 23 also bars Gen AI from generating the content of affidavits and witness statements (paragraph 10), requires anyone who used Gen AI on written submissions to verify that every citation exists, is accurate and is relevant (paragraph 16), and says that verification must not be done solely with an AI tool (paragraph 17). Paragraph 23 is aimed squarely at PI work: for expert reports in professional negligence claims and expert reports referred to in a pre-filing statement under s 315 of the Workplace Injury Management and Workers Compensation Act 1998 (NSW), leave to rely on a report prepared using Gen AI must be sought at the first directions hearing. Paragraph 24 requires lawyers to draw the practice note to the attention of experts they instruct.

Other courts have their own documents. Our guide to AI note takers for law firms summarises the Victorian and Federal Court practice notes.

Hallucinated authorities and invented facts

SC Gen 23 (paragraph 7) names the risk directly: false citations and fabricated legislative or case references. In PI work it also shows up as invented facts, such as a date of injury taken from the wrong document or a diagnosis the records do not contain. Any AI output that reaches a client, an insurer or a court has to be checked against its source.

Checklist before you use AI on a personal injury file

• The tool is on a business plan the firm controls, not a personal account.
• You have read its data terms: storage location, AI processing location, retention, training, and who else receives the data.
• Subpoenaed and Harman material only goes into a tool that meets SC Gen 23 paragraph 9A (or your court's equivalent), or it stays out.
• Every chronology entry links back to a page, and the key entries are checked by a person.
• No AI-generated content goes into an affidavit or witness statement, and none into an expert report without the court's leave.
• Every citation is checked in a primary source, not by another AI tool.
• Limitation dates are diarised by a person from the source documents.
• Every AI-drafted attendance note is reviewed and approved by the lawyer who took the call.

A sensible way to start

1. Pick the job that costs the most time. For many PI practices that is either medical record review or writing up client calls.
2. Choose one tool for that job and check its data terms against the checklist above.
3. Run it on closed files or invented material first, then on five live matters with a senior lawyer checking every output.
4. Measure the editing time honestly. If the output needs heavy rewriting, the saving is not there.
5. Write the tool into your AI policy and review it every six months.

If client calls are the job, try CallNote free for 14 days with no card and compare its notes with the ones your team writes now. If medical records are the job, start with your practice management system's AI.

Common questions