There’s a question making rounds in every law school corridor and firm pantry right now: can AI actually be trusted to review legal documents?
Not theoretically. Not in a demo. In real practice, on real documents, with real clients on the line.
I’m a 4th-year law student. I’ve spent the last two years doing internships where document review was the majority of my work. I’ve sat with contracts, lease agreements, employment documents, NDAs, and more — first manually, then with AI. I’ve now reviewed over 150 documents using Lexi.
This is what I’ve found.
The Honest Answer: Remarkably Accurate
Let’s not bury the lead. In my experience, AI document review is accurate — genuinely, surprisingly accurate.
Across 150+ documents I’ve reviewed using Lexi, the accuracy has been around 95%. The remaining 5% wasn’t the AI getting things wrong. It was errors in how I framed my prompts, which I corrected once I refined them. The tool itself has not failed me in a single review.
That’s not a marketing claim. That’s what I’ve seen across contracts, lease agreements, employment documents, and NDAs — across document types and complexity levels.
The Clause That Changed How I Think About This
Early in one of my internships at a mid-size corporate law firm, I was part of a team reviewing a 47-page commercial lease agreement for a retail client. We had 48 hours to turn it around. After going through it manually, the review seemed complete.
Before finalising, I uploaded the document to Lexi.
It flagged clause 31(b) — a force majeure and rent abatement section — which contained a carve-out that removed the tenant’s right to suspend rent payments during government-mandated closures. It was written in plain language that blended in with the rest of the document. Nothing about it screamed risk.
The client was informed, the clause was renegotiated, and they signed a version that actually protected them.
That’s not a small catch. That’s the kind of thing that ends up in litigation.
What AI Is Genuinely Good At
From everything I’ve reviewed, AI handles the following exceptionally well:
Flagging Non-Standard Clauses
AI doesn’t get fatigued. It reads page 47 with the same attention as page 1. Clauses buried deep in a document — the ones that blend into surrounding language — get caught.
Cross-Referencing Within a Document
Lexi doesn’t just read linearly. It identifies when a clause in one section creates an implication in another. That kind of internal consistency check is easy to miss manually when you’re under time pressure.
Handling Volume at Speed
What used to take me 3–4 hours of manual review on a lengthy contract now takes under 30 minutes with Lexi, including the time to verify its findings. That time doesn’t disappear — it gets redirected to actual legal analysis, client-facing work, and understanding the why behind the clauses rather than just finding them.
Document Variety
I’ve uploaded contracts, lease agreements, employment documents, and NDAs. It has handled all of them well, without needing a different approach for each document type.
What AI Still Can’t Do
Being accurate is not the same as being complete. There are things that still need a lawyer — and being honest about that matters.
Negotiation Strategy
AI can flag a risky clause. It can’t tell you whether to fight it given the client’s relationship with the other party, the deal dynamics, or what’s worth negotiating versus letting go. That’s strategy. That’s judgment. That’s still human work.
Weighing Risk Against Context
Lexi can identify that a clause may be unenforceable. It can’t weigh whether raising that point is worth it given the client’s risk appetite, their timeline, or their budget. A good lawyer makes that call. AI doesn’t have that information.
These aren’t criticisms of the technology. They’re honest boundaries. And knowing them is what makes AI useful rather than dangerous.
The Reaction From Lawyers When I Showed Them
When I first mentioned I had used AI in my review, the response from the senior lawyers I was working under was skeptical. The sentiment was familiar: “your generation relies too much on AI, what if it got something wrong?”
That’s a fair concern. So I showed them.
I walked them through the clause Lexi had flagged, the exact risk it had identified, and how that mapped to the client’s situation. They verified it. They couldn’t find fault with it. And then something shifted — they started asking questions about the tool itself.
Skepticism turned into genuine interest. The resistance isn’t really about AI. It’s about trust. Once the output earns it, the conversation changes.
Should You Trust AI to Review Documents Without a Lawyer?
The short answer: AI review is reliable, but a lawyer is still necessary.
AI gives you a thorough, fast, consistent first pass. It catches what gets missed when humans are tired, pressed for time, or reading page 31 with the same attention they gave page 1. That’s genuinely valuable.
But it doesn’t replace the judgment call. It doesn’t know your client’s priorities, risk tolerance, or what the other side is likely to accept. It doesn’t know when to push and when to hold. Those decisions need a lawyer.
Think of AI document review the way you’d think of a very thorough, very fast, very consistent junior associate — one who never gets tired and never misses a clause. You still need a senior lawyer to decide what to do with what they find.
To Law Firms Still on the Fence
If your firm hasn’t adopted AI document review yet, here’s what I’d say:
Just Try It
You don’t have to overhaul your entire practice. Upload one document. See what it finds. The results will speak for themselves.
The Cost of Not Trying
Every document your team reviews manually without AI is time that could have gone to higher-value work. The risk isn’t in adopting AI. It’s in watching the firms that already have pull further ahead.
AI isn’t there to replace your lawyers. It’s there to make them faster, sharper, and capable of taking on more — without burning out on page 31 of a lease agreement.
The Bottom Line
AI legal document review is accurate. Not perfect — nothing is — but accurate in a way that should make every law firm and every legal professional take it seriously.
At 95% accuracy across 150+ documents, with catches that manual review missed, and with time savings that translate directly into higher-value work — the case for adoption isn’t theoretical anymore.
The question isn’t whether AI can review documents well. It can. The question is whether you’re using it.