Plato vs ChatGPT, Claude and Gemini: which AI for personal injury and employment law?
ChatGPT, Claude and Gemini are general-purpose AI: useful for drafting, but with no quantified French case law, no compensation calculation and a risk of inaccurate references. Plato is a vertical AI for French law: it values the heads and draws on 84,000+ real decisions. In short: an LLM writes; Plato produces a sourced valuation.
The comparison at a glance
| Criterion | ChatGPT / Claude / Gemini | Plato |
|---|---|---|
| Nature | Consumer general-purpose AI | Vertical AI for personal injury & employment law |
| Dintilhac / Macron-scale valuation | No (a general method at best) | Yes, automated calculation by head |
| Quantified French case law | No | Yes, 84,000+ decisions |
| Risk of hallucinated references | Real (noted by courts) | Designed never to hallucinate |
| Drafting in the flow (Word, schedule) | Manual copy-paste | Direct drafting |
| Number of exhibits per case | Limited (~20 PDFs depending on the tool) | Unlimited (files of hundreds of exhibits) |
| Traceability of amounts | None | Every figure traces back to its source exhibit |
| Hosting & compliance | Outside the EU depending on the tool | HDS France, AES-256, GDPR |
| Data used for training | Per the provider's terms of use | Never |
In detail
Domain specialisation
A general-purpose LLM answers on everything but has not been trained to break an expert report down into heads of damage or to apply a value per point by age and rating. Plato is the only AI specialised in personal injury (and is extending to employment law), built around these precise tasks.
The reliability of sources
In December 2025, the administrative courts of Grenoble and Orléans noted false AI-generated references in pleadings (a warning, with no penalty in France; a $5,000 fine in the United States, Mata v. Avianca). Plato ties each amount to real, verifiable decisions.
Sovereignty and confidentiality
Personal injury cases contain health data. Plato is hosted in France in an HDS environment, encrypted to AES-256, and never uses the data for training, which consumer AI does not always guarantee.
Real time saved
Where a general-purpose LLM makes you rephrase prompts, check every reference and copy the results back, Plato chains reading the case, valuation and drafting in a single flow.
Frequently asked questions
Can you use ChatGPT to value a personal injury case?
ChatGPT can explain the general valuation method, but it has no access to quantified French case law and can invent references or amounts. For a defensible valuation, a specialised tool tied to real decisions, such as Plato, is necessary.
Does general-purpose AI hallucinate case law?
Yes, it is a documented risk. In December 2025, the administrative courts of Grenoble and Orléans noted false AI-generated references (a warning, with no penalty in France); abroad, lawyers have been penalised (a $5,000 fine in the United States, Mata v. Avianca). Using an AI without checking its sources engages the lawyer's duty of competence.
Is Plato safer than ChatGPT for sensitive data?
Plato is hosted in France in an HDS environment (health data), encrypted to AES-256 and with no reuse of the data for training, which consumer AI does not systematically guarantee.
Which AI should you choose to value a personal injury case?
A specialised AI. Valuation means applying the Dintilhac classification, capitalisation tables and comparing with quantified decisions. General-purpose AI does none of these three things; Plato is built for them.
How many exhibits can you handle with ChatGPT or with Plato?
Consumer AI caps the number of documents (in the region of 20 PDFs depending on the tool). Plato handles a whole case, often several hundred exhibits, which it splits and sorts automatically.
Does Plato replace ChatGPT in the firm?
No, the uses differ. ChatGPT remains useful for drafting an email or rephrasing a text. Plato takes on the litigation file: reading the exhibits, valuation, case law and drafting the documents.