Shortly after Amazon CEO Andy Jassy announced AWS’s groundbreaking $50 billion investment deal with OpenAI [1], the tech giant extended a rare, exclusive invitation: a...
Frequently asked questions about AI automation for legal services
Technical, legal, and operational aspects of neural network integration
All NeuroTechnus solutions are deployed in an isolated environment on secure servers. Your case materials, clients' personal data, and corporate documents are encrypted and never transferred to public LLM networks to train third-party models
Yes. The built-in OCR (Optical Character Recognition) module extracts text, stamps, and tables even from handwritten notes or low-resolution scans, turning them into a structured database for instant search
We use a strict RAG (Retrieval-Augmented Generation) architecture. The AI assistant relies exclusively on the case materials you uploaded and the current legal framework. If the answer is not in the documents, the system will state this directly rather than fantasize
Yes. Based on the case summary and your corporate templates, the neural network can generate a draft lawsuit, motion, or claim. The lawyer will only need to review the finished document and make final edits
Absolutely. The system connects to popular CRMs and ERPs via official REST APIs. The AI can automatically create new case cards, attach client dialogue transcripts, and update task statuses
The neural network analyzes the uploaded array of historical court decisions on similar disputes. It identifies patterns, points out arguments that are most often accepted by the court, and highlights weak spots in the opponent's position
Yes. The AI consultant will ask the client qualifying questions, collect basic facts, request necessary document scans, and only then offer to choose a time for a paid consultation with a specialized attorney
If the question is beyond the bot's competence or requires deep legal analysis, the AI will politely pause the dialogue and seamlessly transfer the chat to the attorney on duty, attaching a brief summary of the previous conversation
Yes, the built-in Speech-to-Text module automatically transcribes clients' voice messages. The text is saved in the client's card, and the AI analyzes its meaning to continue a meaningful dialogue
The average payback period is 2–3 months. The main savings are achieved by radically reducing the unbillable hours of junior lawyers on document analysis and converting 100% of incoming leads
No. We provide a turnkey solution. Our team handles the integration, prompt setup, vectorization of your databases, and technical maintenance. You manage the processes through an intuitive interface
Yes. The neural network fluently analyzes documents and communicates with clients in dozens of languages. This is critical for firms engaged in international arbitration or supporting foreign investors

