Contract review is one of the most time-intensive tasks in legal practice. A junior associate spending 4 hours reviewing a 120-page supply agreement is not unusual — and that's the first review, not the final one.
AI document processing tools, used correctly, can compress that work significantly. Here are five specific workflows that legal teams are deploying today.
1. Clause Extraction for Routine Agreements
The most common use case: defining a schema of clauses you care about (indemnification, limitation of liability, jurisdiction, termination, payment terms), and running every incoming contract through it automatically.
With ScribIQ, you upload the contract, describe the clauses you want, and get a structured table of extracted text with page citations. What used to take 90 minutes per contract takes under 5 minutes — the attorney reviews the extraction, not the whole document.
Example
A technology company's legal team created a 12-field extraction schema for vendor agreements (payment terms, SLA provisions, data processing addendum, governing law, notice provisions, auto-renewal clauses). 200+ vendor agreements reviewed in 3 days instead of 3 weeks.
2. NDA Review and Red-Flagging
NDAs are high-volume, low-complexity — perfect for automation. ScribIQ can check incoming NDAs against a baseline (your company's standard NDA) and flag deviations: one-way vs mutual, duration limits, exclusions, carve-outs for court-ordered disclosure.
Teams build a comparison prompt once and run it on every incoming NDA. The output is a list of deviations with page citations. Standard NDAs get auto-approved; deviations get flagged for human review.
3. Contract Comparison Across a Portfolio
When a regulation changes or a key term needs to be updated across a portfolio of agreements, finding which contracts are affected requires reading all of them. ScribIQ can query across your entire document library: 'Which contracts in this folder have an arbitration clause that excludes class actions?' — and return an answer in seconds.
4. Renewal and Deadline Tracking
Missed renewal dates are expensive. ScribIQ can extract all date-based obligations from a contract stack — renewal notice periods, payment deadlines, regulatory filing dates — and export them as a structured list. From there, it's one CSV import into your calendar or task system.
- Automatically extracts termination notice periods (e.g. '60 days prior written notice')
- Finds auto-renewal triggers and notice deadlines
- Identifies all date-referenced obligations
- Exports to CSV for import into legal ops tools
5. Compliance and Regulatory Checklist Verification
Many contracts need to include specific provisions to comply with GDPR, CCPA, HIPAA BAAs, or industry-specific regulations. ScribIQ can verify that required provisions are present, flagging contracts that are missing mandatory language before they're executed.
Important Note
AI document processing accelerates review — it does not replace legal judgment. The output of these workflows is always reviewed by a qualified attorney before reliance. ScribIQ makes the attorney faster; it does not replace the attorney.
Getting Started
The best way to start is with one high-volume, repeatable contract type — NDAs, vendor agreements, or employment contracts. Build a schema for that one type, run it on 10 real contracts, and compare the extraction to a manual review. Once the team is comfortable with the accuracy, expand to more document types.