When I first started using AI to draft contracts, I assumed I'd save time. What I didn't expect was how much I had to unlearn before that time-saving actually showed up.

I'm a practicing lawyer, and like a lot of lawyers experimenting with AI for the first time, my early attempts were rough. I started with ChatGPT, drafting simpler agreements like employment contracts by typing out whatever I needed in the moment. The first few drafts required me to change nearly everything. Not because the AI was useless, but because my prompts were incomplete, and because ChatGPT is a generic AI, not one built for legal work. It didn't know what I, as a lawyer, actually needed it to know.

That experience taught me the first real lesson about AI and contracts: the reliability of the output is almost entirely tied to the quality of the input. Garbage in, garbage out isn't a cliché here, it's the whole game.

From Generic AI to Legal-Specific AI

After that rocky start, I moved to Lexi, an AI tool built specifically for lawyers. The difference was noticeable. Lexi understands legal language and structure in a way generic AI doesn't, which matters when a single missing clause could mean financial loss down the line for a client. One feature I've come to rely on heavily is translation, moving a contract between a regional language and English, or vice versa. Lexi handles this far better than other AI tools I've tried, which matters a lot in a country with as much linguistic diversity as ours.

The compliance checks built into Lexi also give me more confidence in the first draft I'm working with. But “more confidence” doesn't mean “blind trust,” and that distinction is the core of everything I tell other lawyers about AI drafting.

Today, once I learned how to give Lexi a proper, complete prompt, I can draft a contract in under 10 minutes. Compare that to the hours it used to take starting from a blank page, and the value is obvious. But the 10 minutes is only the first step.

I Still Read Every Single Word

I'll say this plainly: I'm an old-fashioned lawyer. Even if an AI tool guaranteed me 100% accuracy, I would still personally read through every contract before it goes anywhere near a client. That's not paranoia, it's the job.

A contract isn't just a document, it's a representation of your client's interests, and no AI, however good, understands a client's specific situation, priorities, or risk tolerance the way a human lawyer who's actually spoken to them does. I haven't personally caught a major error from Lexi, but I don't deny that mistakes can happen, sometimes from incomplete input on my end, sometimes from the AI picking up something inaccurate. That possibility is exactly why review isn't optional. AI is there to aid you, not replace you. You don't just generate and submit, you generate, then you draft properly with your own judgment layered on top.

Where AI Fits, and Where Human Involvement Has to Be Higher

A common misconception is that lawyers should draw a hard line, AI for simple contracts, no AI for complex ones. In my experience, that's not quite right. Every contract needs human involvement; the level of involvement is what changes.

For simple agreements like NDAs or employment contracts, the human input required is minimal. You give a clear prompt, you get a good output, you verify it, and you move on. For high-stakes work, litigation settlements, M&A, large commercial deals, the human involvement needs to scale up significantly. You have to re-verify every term, every condition, because the cost of an AI-generated error in those documents isn't measured in minutes lost, it's measured in client harm. But even there, AI can still draft the foundation. Good input still produces a good starting output, even on complex documents, it just demands a much closer second look before anything is finalized.

It's Not Just Me Saying This

I've talked to peers and seniors during my internships who use AI for contract work, and the sentiment is consistent: it helps. Several use it not just to draft, but to verify and cross-check existing contracts. The bigger shift I've noticed is in how people are reallocating their time. Lawyers who no longer need to sink hours into first drafts are spending that time on higher-value work, preparing courtroom arguments, strategy, client counseling, the parts of the job that actually require a lawyer's judgment rather than their typing speed.

Will AI-Drafted Contracts Hold Up Legally?

This is the question I get most often, and understandably so. The honest answer: an AI-drafted contract isn't inherently unenforceable. What makes any contract enforceable is whether it correctly captures the parties' intent, complies with applicable law, and has been properly reviewed before signing.

The risk was never the AI itself. The risk is treating AI output as a finished product instead of a first draft. My advice to anyone nervous about this: use AI to save time on the initial draft, but always have a qualified lawyer verify the terms, especially the clauses that tend to cause disputes later, liability, termination, jurisdiction, before anyone puts a signature on it.

Where This Is Headed

I think AI contract drafting is only going to get better, and one of the biggest beneficiaries will be young, upcoming lawyers. The grunt work of drafting from scratch has historically fallen on junior lawyers, and AI tools like Lexi are already starting to lift that burden, freeing them up earlier in their careers to focus on judgment-based work instead of repetitive drafting.

The Takeaway

Trust AI to save you time, not to make judgment calls. The technology, at least the legal-specific tools like Lexi, is reliable enough to draft. But the responsibility for accuracy, and for your client's interests, will always rest with you. That's not a limitation of AI. That's just what being a lawyer means.