Industry
Contract volume, regulatory complexity, and document work — handled at scale.
Legal teams face growing document volume, tighter timelines, and clients who expect faster answers. GenOS deploys AI that handles the extraction, research, and drafting work that consumes associate time — so senior lawyers can focus on judgment, not paperwork.

Use cases
Where AI delivers results in Legal
Contract review and extraction
Extract key terms, dates, obligations, and non-standard clauses from any contract format. AI flags deviations from standard positions and prepares a structured summary for attorney review.
Regulatory and case law lookup
Give your team instant access to regulation, case law, and internal precedent — grounded in authoritative sources, with citations on every answer.
Due diligence automation
Process document sets for M&A and financing transactions — extract, classify, and summarise — reducing the time associates spend on document review without reducing coverage.
Document drafting support
Draft first versions of standard documents from templates and extracted data points — contracts, NDAs, engagement letters — so associates start from a working draft, not a blank page.
Client query handling
Answer recurring client questions on matter status, billing, and general legal queries — instantly, grounded in your file and correspondence history.
Matter management and routing
Triage incoming matters, classify by type and urgency, and route to the right team with relevant context pre-populated — reducing the coordination overhead on every new instruction.
GenOS products
Key workflows
- Contract term extraction and non-standard clause flagging
- Regulatory and case law lookup with cited sources
- Due diligence document processing for transactions
- First-draft generation for standard document types
- Matter intake classification and team routing
- Client correspondence handling and status queries
Ready to deploy AI in your legal organisation?
We scope, build, and run it with your team — from first agent to full production in weeks, not months.
Book a demo