Cut contract review time by 50–80% while improving consistency

An on‑prem legal AI that flags risk, drafts first passes, and keeps auditable trails.

Who it’s for

In‑house legal and ops teams under pressure to move deals faster without adding headcount.

What it looks like in the field

  • Legal AI tools frequently report 50–90% time reductions on review and the ability to process 2–3× more contracts weekly, with quick payback when governed properly (LegalOn/Streamline).
  • Broad trend data points to significant cycle‑time cuts; firms are formalizing AI for higher‑value work—not just basic redlines (SpendMatters).

Capabilities

  • Clause extraction & risk scoring against playbooks
  • Redline suggestions tied to fallback language
  • Cross‑doc compare, version deltas, and summaries
  • Negotiation briefs & approval routing

How it works

  1. Ingest templates, playbooks, prior negotiations.
  2. Map risk rules by contract type.
  3. Enforce “human‑in‑the‑loop” sign‑offs.

Common integrations

CLM (Ironclad, ContractSafe, etc.), DMS, SSO.

KPIs

Cycle time, outside counsel spend, variance from playbook, % auto‑approved low‑risk.

Security & compliance

On‑prem only; audit trails and SSO/SCIM in higher tiers—essential for legal governance.

Rollout (3–6 weeks)

Start with 1–2 contract types → tune playbooks → expand library.

Recommended Utlyze tier & pricing

Autonomy Suite
Setup: — —/month

Enterprise legal

Workflow Operator
Setup: — —/month

Mid‑market teams

FAQs

Accuracy & risk?

We ground outputs in your playbooks, require approval checkpoints, and keep full audit trails. Studies remind teams to guard against hallucinations with governance (Stanford HAI).

On‑prem processing only; human approvals required. Benchmarks are directional and may vary by deployment.

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