Case Study: AI in Contract Review (Before & After)
To understand how AI changes contract review, let’s look at a real‑style example: how a typical contract analysis looks when done manually versus with AI assistance. This side‑by‑side comparison will show strengths, pitfalls, lessons, and how to use AI wisely.
1. Baseline: Manual Review (Before AI)
Here’s how a manual review typically proceeds:
- Read the full contract carefully, clause by clause
- Use checklists to scan for risks (liability, renewal, indemnity, etc.)
- Cross‑reference definitions with clauses
- Note anomalies, missing protections, ambiguous language
- Draft comments, propose amendments, and negotiate changes
- Time taken: often several hours to full day depending on length and complexity
2. AI‑Augmented Review (After AI)
With AI support, the process may look like this:
- Upload the contract file to the AI tool
- AI highlights key clauses (indemnity, limitation, renewal) and red flags
- User reviews flagged items and checks unflagged areas manually
- AI may suggest alternative language or explanation of risk
- Time taken: significantly reduced (minutes or less than an hour) for initial pass
3. What AI Did Better — and Where It Missed
Advantages of AI in this example:
- Speed: flagged key clauses nearly instantly
- Consistency: applied same rubric across all sections
- Coverage: touched clauses a human reviewer might miss initially
Limitations and misses:
- Misinterpreted a complex cross‑clause reference linking defined terms incorrectly
- Missed a narrow carve‑out because of unusual phrasing
- Suggested a clause change that conflicted with local law not built into the model
- Didn’t flag vague standard phrase “industry standard practices” as a possible risk area
4. Blended Workflow: Best Approach
The ideal strategy combines human expertise and AI assistance:
- Use AI for first pass and highlighting
- Always cross-check AI suggestions manually—especially for high-stakes clauses
- Customize or retrain AI on your jurisdiction or domain if possible
- Keep an audit trail of AI output and human edits for accountability
- Use AI to surface questions, not replace judgment
5. Key Lessons & Takeaways
- AI dramatically speeds review, but is not perfect
- Human oversight remains critical for context, nuance, and legal compliance
- Training and tool selection matter—models trained on your domain/jurisdiction perform better
- Transparency & traceability (seeing why a flag was raised) improves trust
- Start slow: use AI on less critical documents before applying to high-stakes ones
Conclusion
This case study shows how AI can transform contract review—but also highlights that it’s not a magic substitute for legal judgment. When used thoughtfully, AI accelerates work and flags likely risks, while humans provide oversight, context, and final decision-making. If you have AI summaries or contract with AI notes you want me to check, I’d be happy to help you interpret and correct them.