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Use case

Contract Review Support

Skilled professionals reading hundreds of pages to find the twelve clauses that matter — review quality capped by fatigue, and turnaround measured in days.

What can be automated in contract review support? With current AI and integration tooling: clause identification and extraction; deviation flagging against your playbook/standards; summary and risk-note preparation; obligation and date extraction into trackers. What should remain under human control: all legal judgment and negotiation positions; final review of every flagged item; anything sent to counterparties. Olyra implements this with confidence scoring, audit logging, and human-review gates matched to risk.

The manual reality

What this work looks like today

Who does it

Lawyers, contract managers, procurement teams, deal desks.

Typical systems

Document management systems, contract repositories, email, redline tools.

The cost

Measured before we touch anything: Review hours per contract · Turnaround time · Deviations caught (vs. manual baseline)

What changes

What gets automated — and what stays human

Automated (with logging):

  • Clause identification and extraction
  • Deviation flagging against your playbook/standards
  • Summary and risk-note preparation
  • Obligation and date extraction into trackers

Stays under human control:

  • All legal judgment and negotiation positions
  • Final review of every flagged item
  • Anything sent to counterparties
Measurement & governance

How value and risk are managed

Measure

What we baseline and track

Review hours per contract · Turnaround time · Deviations caught (vs. manual baseline) · Obligations missed

Governance

Risks designed for

Confidentiality walls and no-training configurations; privileged material access-controlled; reviewer sign-off logged per document.

Typical implementation path: One contract type against your playbook first; accuracy measured on past reviewed contracts. Implementation follows the Olyra 120: pilot on real historical volume, parallel run, then measured cutover.

Find out what AI can actually do for your operations.

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