AI intake, retrieval and cockpit for legal teams.
Discovery
2 weeks
Go-live
6 weeks
NPS
+54
LegalMind AI captures cases, blends firm knowledge with legal texts and gives clients a structured first opinion within minutes.
LegalMind AI combines structured intake, retrieval-augmented generation and a cockpit for lawyers. Clients receive a qualified first read within minutes.
Built with legal-tech specialists – deployable on customer infrastructure.
Clients chat, upload documents and receive structured outputs prioritised by risk.
Automatically surfaces relevant sections, deadlines and to-dos.
Lawyers comment in real time, attach precedents and hand over to teams.
Guided questionnaire, document upload and auto-tagging.
Combines firm knowledge with legal texts to deliver citable answers.
KPIs on case types, turnaround and risk per team.
Status updates, secure communication, payment links.
We kicked off with a legal design sprint, followed by two build sprints plus fine-tuning on live cases.
Trust
Lawyers must understand why AI suggests something.
Data sources
Case files, CRM, DMS and public legal sources had to be connected.
Hallucinations
Responses must be citable, so we combined RAG with confidence scores.
Closed beta with three law firms, then staged rollout.
Handover included prompt playbook and training.
Planned expansion to additional practice areas.
Processing time
−72 %
Adoption rate
88 %
Recommended by
9/10 lawyers
Core package focuses on labour, contract and corporate law. Additional modules can be added.
Training data never leaves the firm. Logs are encrypted and client IDs are pseudonymised.
No. The system generates suggestions with evidence; lawyers remain in control.
Point of contact
She leads legaltech initiatives at SODEFA and facilitates workshops with law firms, associations and LegalOps teams.
Mareike Adamy
Marketing & Sales, SODEFA
We’ll show how intake, RAG and human review come together in one surface.
Project: LegalMind AI. Updated: 12 Jan 2026.