My friend is a solo practitioner family lawyer in Ohio. She spends 30% of her time on contract review — reading the same types of custody agreements, property settlements, and prenups, looking for the same red flags. Last month she started using Harvey AI. Now that 30% is down to about 8%.
She’s not a tech person. She doesn’t care about transformer architectures or attention mechanisms. She cares that she can review a custody agreement in 15 minutes instead of two hours, and that the AI catches the clause about relocation restrictions that she might have skimmed past at 11 PM.
That’s AI in law right now. Not robot lawyers. Not automated judges. Just really good assistants that never get tired and never miss a clause.
Where AI Actually Helps Lawyers
Contract review is the killer app. AI reads contracts, highlights unusual terms, flags missing clauses, and compares language against standard templates. For transactional lawyers who review dozens of contracts weekly, this is a significant shift. Tools like Ironclad and Juro are handling this well.
The numbers I’ve seen: 60-90% time reduction on first-pass review. Not eliminating human review — augmenting it. The lawyer still reads the contract, but the AI has already highlighted the three paragraphs that actually need attention.
Legal research used to mean hours in Westlaw. Now it means asking CoCounsel: “Find cases where a non-compete clause was invalidated due to overly broad geographic restrictions in Texas.” Ten seconds later, you have a list of relevant cases with summaries. Try doing that with boolean search operators. You can, but you’ll be at it for an hour and still might miss something.
Lexis+ AI does the same thing on the LexisNexis side. The quality difference between AI-powered and traditional legal research is stark — the AI finds cases that keyword searches miss because it understands the legal concepts, not just the words.
Document review in litigation is where the money savings are biggest. In a complex litigation case, document review can cost millions — armies of junior lawyers reading thousands of documents for relevance. AI-powered technology-assisted review (TAR) handles this at a fraction of the cost. Relativity and Everlaw are the platforms most law firms use, and the AI accuracy is often higher than human reviewers (who get fatigued and inconsistent after hour six).
Legal drafting has improved faster than I expected. Harvey AI can draft a reasonable first version of a brief, a motion, or a demand letter from a description of the facts and the desired outcome. It’s not submittable as-is — it reads like a competent law student wrote it — but it cuts the drafting time in half.
The Platforms Lawyers Actually Use
Harvey AI has the most buzz, and largely deserves it. Built specifically for legal work, backed by Sequoia and used by Allen & Overy (one of the world’s largest law firms). Harvey handles research, drafting, analysis, and due diligence. The legal-specific training makes a noticeable difference compared to asking general-purpose ChatGPT about law.
CoCounsel by Thomson Reuters integrates directly with Westlaw, which matters because Westlaw is where most lawyers already work. Research, document review, drafting, contract analysis — all within the existing workflow. No new tool to learn.
Lexis+ AI is the LexisNexis equivalent. It has a feature I particularly like: linked citations. Every claim the AI makes links back to the source case or statute, with a confidence indicator. This directly addresses the hallucination problem.
The Elephant in the Room: Hallucination
You’ve probably heard about the lawyers who got sanctioned for submitting ChatGPT-generated briefs with fake case citations. This happened multiple times. And it’s the single biggest reason many lawyers distrust AI.
It’s also a solvable problem. Purpose-built legal AI tools (Harvey, CoCounsel, Lexis+) are designed with citation verification. They link every claim to a real source. They flag when confidence is low. They’re not perfect, but they’re dramatically more reliable than copy-pasting from ChatGPT.
The rule is simple and absolute: verify every citation before it goes in a filing. Every. Single. One. AI is your research assistant, not your co-counsel. You’re responsible for what goes in front of the judge.
The Access to Justice Angle
Here’s what excites me most about AI in law: it might actually make legal help affordable.
A simple will from a lawyer costs $300-1,000. A contract review runs $500-2,000. A basic business incorporation might cost $1,500-5,000. These prices mean that most people and small businesses operate without legal protection they actually need.
AI won’t replace the lawyer for complex matters. But for routine legal needs — reviewing a lease, understanding an employment contract, drafting a basic will — AI can bring the cost down by 80% while maintaining acceptable quality. Several startups are already building this.
What I’d Tell a Lawyer Skeptic
You don’t have to go all-in. Start with one tool and one use case. Use Harvey or CoCounsel for legal research for a month. Compare the results and the time spent against your traditional process. Judge it on outcomes, not vibes.
The lawyers who dismiss AI entirely will increasingly compete against lawyers who use it. When your competitor can review contracts in 15 minutes and produce research memos in 10, your two-hour turnaround time stops being “thorough” and starts being “expensive.”
AI isn’t coming for your job. But a lawyer using AI might be coming for your clients.
🕒 Last updated: · Originally published: March 14, 2026