Legal Tech
Generative AI for Law Firms
AI reads the case documents — contracts, PDFs, even scans — and extracts the facts and data that matter, including those never updated in the practice management system. From there it generates a real first draft of the act, built on those facts and on how the firm has already written similar acts. And the firm's historical knowledge base can be queried in natural language.
30 minutes to see whether this case applies to your firm.
The problem
In law firms, drafting repetitive acts — formal notices, injunctions and other recurring acts — absorbs senior professionals' hours on low-value work. The facts of a case are scattered across contracts, PDFs and scans, and the practice management system is not always up to date: they have to be tracked down and retyped by hand, one document at a time. Years of accumulated acts and opinions are effectively inaccessible: searchable only by whoever remembers where to look.
The solution
AI reads the case documents — contracts, PDFs, even scans — and extracts the facts and data that matter, including those never updated in the practice management system: the system remains one of the sources, not the only one. From there it generates a real first draft of the act, built on those facts and on how the firm has already written similar acts, so the professional starts from a draft to review rather than a blank page. In parallel, a RAG pipeline over the historical knowledge base makes acts, opinions and precedents searchable in natural language, by meaning rather than keyword: finding a precedent is a question, not an afternoon.
Confidentiality and compliance
- Case data does not train any model: we use vendors whose policies exclude data from training.
- When a cloud LLM is used, sensitive data is masked automatically before processing.
- Where confidentiality requires it, a private LLM installed on-premise is used: processing never leaves the firm's perimeter.
- Dedicated environments with data segregation for the knowledge base, GDPR compliant.
Human review
The system works only on the firm's own documents, and every draft goes through the professional's review before it becomes an act. The lawyer brings the quality; the mechanical grind is gone.
Technology stack
- Extraction from case documents: contracts, PDFs and scans
- LLM for first drafts of acts, following the firm's own way of writing
- RAG pipeline over the document knowledge base
- Vector database for semantic search
- Connection to the firm's practice management system, as one of the sources
- Cloud LLM with sensitive-data masking, or a private LLM installed on-premise
What changes
- Time on the first draft shifts from writing to reviewing
- Drafts follow the way the firm writes, regardless of who drafts them
- Historical know-how becomes searchable even by those who did not work the case
- Facts are extracted from documents instead of retyped by hand: fewer transcription errors, even where the management system is out of date