AI for legal that respects privilege
Contract review, clause extraction and e-discovery triage — built with the confidentiality, citation discipline and privilege controls legal work demands.
Where AI actually moves the needle in Legal
Legal work is reading at scale under a confidentiality obligation. The highest-value AI use cases are bounded and verifiable: extracting clauses and obligations from contracts, comparing a draft against your playbook, and flagging deviations for a lawyer to review. The model proposes; the lawyer decides — and every claim is cited back to the source text so nothing rests on an ungrounded assertion.
Discovery and due diligence are volume problems. Triaging thousands of documents for relevance and privilege, surfacing the hot documents, and summarizing a data room for a deal team turns weeks of associate time into a focused review. The point isn’t to replace judgment but to get the right documents in front of the right person far sooner.
Research and knowledge round it out: RAG over your matter files, precedents and internal know-how so the team gets answers grounded in your own work product, not a generic chatbot’s guess. Confidentiality and privilege are first-class design constraints — strict data isolation, no training on client matters, and citations on every output — because in legal an unverifiable answer is worse than no answer.
What we build for Legal teams
Contract review copilot
Compares drafts against your playbook, extracts clauses and obligations, and flags deviations with citations for a lawyer.
E-discovery triage
Ranks document sets for relevance and privilege and surfaces hot documents to focus reviewer time.
Clause & obligation extraction
Builds a structured, queryable view of key terms, dates and obligations across a contract portfolio.
Due-diligence summarizer
Digests a data room into risk-flagged summaries for the deal team with source links to every finding.
Matter knowledge RAG
Answers questions grounded in your precedents, prior matters and internal know-how with citations.
Intake & conflict assistant
Structures new-matter intake and surfaces potential conflicts from your records for confirmation.
How we deliver
| Capability Parameter | System Specification |
|---|---|
| Integrations | DMS (iManage/NetDocuments), e-discovery platforms, contract repositories, intake systems |
| Models | Frontier LLMs for legal reasoning, constrained to cite source text on every claim |
| Guardrails | Lawyer review mandatory; citation-on-every-output; strict matter isolation and privilege handling |
| Engagement | Fixed-scope build, 4–10 weeks, then optional operate retainer |
| Typical budget | ₹20L–₹50L / $20k–$60k per production system |
| Data & compliance | Privilege and confidentiality controls; no training on client matters; per-matter access isolation |