Industry · Legal

AI for legal teams

We build AI for law firms and legal operations — air-gapped contract review, clause comparison, citation-grounded redlining, and local RAG over privileged documents with zero egress, audit trails, and attorney-in-the-loop controls.

87%Faster review
ZeroData egress
100%Cited
LocalRAG option
Industry context

AI that respects privilege

Legal AI cannot leak client data or hallucinate without citations. We deploy air-gapped and VPC-hosted systems with source binding, privilege-aware access controls, and workflows designed for attorneys — not generic chatbots.

01

Zero egress options

On-prem and VPC deployments so sensitive contracts never leave your environment.

02

Citation-grounded outputs

Every recommendation tied to source clauses, page anchors, and playbook rules.

03

Playbook automation

Compare against firm standards, flag deviations, and draft redlines for review.

04

Attorney-in-the-loop

Human approval paths, audit logs, and version control for every matter.

Use cases

Where legal AI delivers

High-impact use cases for law firms, legal ops, and in-house teams.

Review

Contract Review

Extract clauses, compare against playbooks, flag risk, and generate attorney-ready summaries with citations.

  • MSA · SOW · NDAs
  • Playbook matching
  • Risk scoring
Compare

Clause Comparison

Side-by-side diff across versions and counterparty paper — highlight material changes instantly.

  • Clause-level diff
  • Fallback language
  • Version tracking
Redline

Redlining & Drafting

AI-assisted redlines grounded in firm standards with tracked changes and approval workflows.

  • Template libraries
  • Attorney review
  • Export to Word
DD

Due Diligence

Process data rooms — classify documents, extract obligations, and surface anomalies at scale.

  • Bulk ingestion
  • Entity extraction
  • Issue lists
Research

Legal Research RAG

Query firm knowledge, precedents, and memos with citation-bound answers over privileged corpora.

  • Local RAG
  • Matter isolation
  • Hybrid retrieval
Intake

Matter Intake

Automate intake forms, conflict checks, and routing to the right practice group or outside counsel.

  • NLU triage
  • CRM sync
  • SLA routing
01Can legal AI run without sending data to the cloud?

Yes — we deploy on-prem, private VPC, and air-gapped environments with local inference and vector stores so client matter data never egresses.

02How do you prevent hallucinations in contract review?

Citation-grounded RAG, confidence thresholds, playbook rule matching, and mandatory attorney review for flagged clauses.

03Which document types do you support?

MSAs, NDAs, SOWs, leases, policies, data room files, and scanned agreements — with layout-aware OCR and clause-level extraction.

04How fast can we pilot legal AI?

Most teams start with one contract type and playbook in 3–4 weeks, expanding to full matter workflows after validation.

Next step

Ready to build legal AI?

Tell us about your matter types — we'll design a privileged, citation-grounded system with zero egress options.