Legal Command OS

AI Agents for Legal Teams.
Review Work, Governed.

Scale your firm's capacity without increasing headcount. Automate contract review, discovery, and diligence with precision and privilege protection.

Contract
NDA Redlined (Risk: Low)
Discovery
40k Docs Analyzed
Compliance
Policy Updated (GDPR)

The Billable Hour Trap.

Your associates are drowning in document review, burning out on repetitive tasks, and missing high-level strategy opportunities.

Review Fatigue

Long review queues create inconsistency and delay. Agents can apply the same approved checklist across every document and route exceptions to counsel.

Unbillable Admin

Matter intake, status updates, and document coordination consume time that legal teams could spend on judgment-heavy client work.

Risk Blindness

In massive diligence projects, critical risks are often buried in page 400 of document 1,000.

Your Autonomous Legal Team.

Deploy agents that support paralegal work, contract review, and compliance operations under legal-team oversight.

Contract Sentinel

Contract Review

09:00:00Ingesting 'Vendor_MSA_v4.docx'
09:00:05Comparing against 'Standard_Playbook_2024'...
09:00:10Flag: Indemnity Cap missing (Clause 9.2).
09:00:15Suggestion: Insert 'Cap at 12 months fees'.
09:00:20Redline generated. Ready for Partner review.
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Example workflow • configured to your systems

Discovery Bot

Litigation Support

14:00:00Scanning 50,000 Emails (Enron Corpus)...
14:05:00Pattern Match: 'Off the books'
14:05:05Privilege Check: Attorney-Client (User: Smith)
14:05:10Action: Tagged 'Privileged'. Withheld from prod.
14:05:15Timeline updated: Oct 12 event flagged.
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Example workflow • configured to your systems

Diligence Engine

M&A Analysis

02:00:00Connecting to Data Room (Intralinks)...
02:00:05Processing 200 Customer Contracts.
02:00:10Extraction: 15 'Change of Control' triggers found.
02:00:15Action: Summary Table generated (Excel).
02:00:20Risk Report emailed to Deal Team.
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Example workflow • configured to your systems

Regulatory Watchdog

Compliance

08:00:00Scanning Federal Register...
08:00:05New Rule: SEC Cybersecurity Disclosure (Item 106).
08:00:10Impact Analysis: Affects 'Incident Response Policy'.
08:00:15Action: Drafted Policy Amendment v2.1.
08:00:20Notification sent to General Counsel.
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Example workflow • configured to your systems

Need another job automated?

Describe the role, tools, rules, and approvals. Nerova will help you customize the agents your workflow actually needs.

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Firm Governance.

Security and privilege protection for sensitive matters.

Parallel Review

Run approved review criteria across large document sets in parallel, with exceptions and uncertain findings held for attorney review.

Ethical Walls

Strict information barriers between deal teams. Agents only access data they are scoped for.

Audit Trails

Every document review decision is logged with reasoning for defensibility.

Access Control

Granular permissions. You define exactly what the agent can read, edit, or export. It never acts without explicit authorization.

TRUSTED INFRASTRUCTURE

Security Control Mapping ISO 27001 Ready Privacy Control Mapping Clio / iManage Sync Runtime Monitoring Full Audit Trails 24/7 Availability Human-in-the-Loop Future-Proofed Private Cloud Isolated Multi-Department Support Deterministic Guardrails Multi-Language Support

Deployment guide

How to deploy AI agents for legal operations

Use counsel-approved playbooks, preserve matter boundaries, and require review before legal conclusions or negotiated language leave the team. Start where the expected output can be checked clause by clause. The workflow displays above are configuration examples, not guaranteed outcomes.

Best first workflow

Start with first-pass contract review against one approved clause playbook, with counsel reviewing every deviation and proposed change.

What deployment requires

Approved templates, playbooks, clause positions, privilege rules, matter boundaries, access controls, and representative reviewed examples.

Human approval boundary

Attorneys approve legal conclusions, negotiated language, filings, privileged disclosures, and any output delivered as legal advice.

When not to automate

Agents should not replace attorney judgment or make unsupervised legal conclusions in novel, disputed, or high-risk matters.

How to measure the pilot

Measure clause-detection recall, false flags, review time, playbook adherence, and the percentage of outputs changed by counsel.

Questions teams should answer first

What is the best first workflow for legal operations?

Start with first-pass contract review against one approved clause playbook, with counsel reviewing every deviation and proposed change.

What information and systems does this workflow require?

Approved templates, playbooks, clause positions, privilege rules, matter boundaries, access controls, and representative reviewed examples.

Which decisions must remain with people?

Attorneys approve legal conclusions, negotiated language, filings, privileged disclosures, and any output delivered as legal advice.

Your next workflow

Customize the team around the work you need done.

Start free, share the outcomes you want, then tailor each role and connect the systems your team needs to do the work.

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