AI-enabled legal operations
Legal work, structured for speed and control.
CyberSquire helps in-house legal and compliance teams intake requests, review documents, manage risk, track obligations, and deliver business-ready decisions — with AI-assisted workflows and full audit evidence.
Human review in the loop
Audit-ready evidence
Obligation tracking
Legal Operations · Q2 2025
Active Matters
| Matter ID | Description | Risk | Reviewer | Due Date |
|---|---|---|---|---|
| MTR-2104 | Attorney QA — DPA — Northwind Cloud Services | Medium | S. Okafor | May 29 |
| MTR-2101 | AI Review — AI tool request — Sales enablement | High | M. Liu | May 28 |
| MTR-2097 | Closed — Vendor renewal — Atlas Analytics | Low | J. Park | Closed May 22 |
AUDIT LOG
847 events recorded
Obligations: 18 tracked
The problem
Legal teams are asked to move faster without losing control.
Requests arrive from every part of the business. Documents live in different tools. Risk reviews depend on individual judgment. Leadership wants speed, but legal still needs consistency, oversight, and evidence.
Observations
- OBS-01: Scattered intake
Requests arrive via email, chat, and spreadsheets — with no request ID, owner, or routing logic. - OBS-02: Inconsistent review
Similar risk issues are handled differently across matters because there is no structured playbook. - OBS-03: Slow business support
Legal becomes a bottleneck when routing, review, and decision are all manual steps. - OBS-04: Limited visibility
Leaders cannot see volume, reviewer load, matter status, or SLA compliance. - OBS-05: AI without controls
Teams use AI tools before governance policies, review paths, or audit trails are in place.
Platform
One legal operating layer.
01 — Intake
- Capture the request, classify issue type, generate a matter ID, route to owner, set priority and SLA.
02 — Review
- Summarize facts, identify clauses, flag deviations, apply playbooks, log AI model version and confidence.
03 — Decision
- Approve, revise, escalate, or reject. Generate business-ready guidance and record rationale with reviewer signature.
04 — Evidence
- Save review history, track obligations, report on risk exposure, preserve full audit trail for compliance.
Capabilities
Built for the work in-house teams handle every day.
- Legal request intake
- Contract review support
- Compliance workflow management
- AI policy and governance
- Vendor and third-party review
- Matter and obligation tracking
AI & Oversight
AI assistance with legal judgment in the loop.
AI Review Note · REQ-4821
Summary
This DPA between Northwind Cloud Services and the company covers standard EU SCCs with two modified clauses: data retention is extended to 18 months (playbook max: 12) and the indemnification cap is uncapped for AI-processed data.
Risk flags
- §4.2 Retention clause: Medium
- §9.1 Indemnification cap: High
Awaiting attorney review — AI summary complete. Human sign-off required before guidance is sent to business.
CyberSquire combines AI-assisted review with structured human oversight — so legal teams move faster without giving up accountability or control.
Use cases
Use cases for legal and compliance teams.
- Contract intake and first-pass review
- Policy and regulatory research
- Vendor risk review
- AI governance requests
- Compliance obligation tracking
- Business guidance and FAQs
Visibility
What legal leadership can finally see.
- KPI-01: 124 Request volume by business unit this quarter
- KPI-02: 4.2h Avg. review time across all matters (↓ 38% vs. manual)
- KPI-03: 7 Open high-risk items awaiting resolution (3 escalated)
- KPI-04: 18 Obligations due this month (5 near deadline)
- KPI-05: 41 AI use requests by risk tier (12 high-risk tier)
- KPI-06: 9 Awaiting decision matters in queue (2 SLA breached)
Get started
Give legal a system for the work already happening.
Structure your intake, review, decision, and obligation workflows so your team can move faster without losing control — and leave an evidence trail at every step.