u/Greg_at_GeneralLegal

Hey r/AINativeServices! Greg here from General Legal. I wanted to share a bit of what we’ve seen working as an AI native law firm, especially compared to DIY platforms like LegalZoom or Rocket Lawyer.

DIY legal platforms have been around forever. Fill out a form, get a template, print it, sign it. That model works fine for filing an LLC or generating a basic NDA from scratch. But once you need someone to actually review an existing contract prepared by another party, the gap between DIY tools and AI native law firms opens up fast.

A DIY platform assumes you know what to look for and can spot red flags in documents written by the other side. Send a vendor MSA into one and what you get is either a template suggestion that ignores the actual text or nothing at all. You still end up forwarding that same document to a lawyer because nobody wants to negotiate a large vendor agreement without understanding indemnification provisions or limitation of liability language.

AI native firms sit somewhere between DIY tools and traditional outside counsel on substance. You upload your actual document, AI helps extract and analyze key clauses, and a US barred attorney reviews the contract, flags risky provisions, and suggests alternative language tailored to your negotiation position. The goal is to use AI to make the lawyer faster, not remove the lawyer from the process entirely.

A practical setup for a lot of growing companies is to use all three. DIY tools can handle routine outbound documents like standard employment offers. AI native law firms can cover inbound contract reviews where another company drafted the terms. Traditional outside counsel can stay reserved for board level decisions, major transactions, and regulatory matters. Each tool operates within its own lane.

Full disclosure: I work with General Legal, so I’m obviously close to this topic. But the pricing is what got me thinking about it in the first place. I’ve been watching the AI native legal wave for a while, and the number that keeps showing up is a few hundred dollars, flat, for attorney contract review. Coming from the world of hourly billing, that reads like a typo.

Where does an AI native firm hold up, and where does it not?

For routine paper, NDAs, MSAs, vendor agreements, and standard SaaS contracts, an AI native firm competes on speed and a fixed price, and the quality gap there is small. What you give up is bench depth and relationship. A boutique has specialists a phone call away for tax, employment, or a privacy question. Some AI native firms answer part of that. General Legal, for one, runs a specialist bench across venture financing, technology transactions, employment, and data privacy, and works over Slack and email, which narrows the coverage gap without matching a long relationship.

The real question is not which is better overall. It is which matters you route where. Many teams do both, sending the routine volume to the flat-fee firm and keeping a traditional relationship for the hard work.

If you split your legal work this way, what would you never hand to an AI native firm, and what would you happily move off your traditional counsel?

TLDR: Traditional counsel earns its rate on high-stakes matters and deep relationships; an AI native firm wins on routine paper priced flat. Most teams route work to both.

To preface this, I'd like to be upfront that I'm a part of the General Legal team, and this is an area that we do best. Of course, the useful answer is that "best" depends on what you are buying, so sort by the job first and do your own research.

For flat-fee commercial contract review and redline, compare price transparency and whether a licensed attorney owns the work. For pure document generation, you are really comparing template libraries, and the older self-serve tools cover that. For litigation or the complexity of a funding round, an AI-native firm is usually the wrong tool and a specialist firm is right.

Once you narrow to routine commercial contracts, three things separate them: is a U.S.-barred attorney responsible, is the price fixed before work starts, and how fast is turnaround. So, we at General Legal are one of the transparent options, publishing flat prices of $250 for a short review, $500 for a standard one, and $2,000 for drafting, with an attorney responsible. It does not pretend to be a litigation shop.

So the honest version of "who is the best" is best at what, for which contract, at a price you can see before you commit. A firm that answers those three plainly is ahead of one with a slicker homepage.

If you have compared a few AI-native firms, what made one clearly better for your contracts: the price, the speed, or the attorney behind it?

TLDR: There is no universal best AI Native Law Firm, so for routine startup contracts rank them on attorney responsibility, upfront flat pricing, and turnaround.

I keep hearing from first-time founders who just need a single contract reviewed or a basic entity formed, and they end up getting quoted against $500 per hour by corporate lawyers who barely talk to them.

The pattern I see repeat:

Hourly rates scare people off before they start. A startup founder told me last week they asked three traditional firms for quotes and got $400 to $650 per hour across the board. For a simple operating agreement review. They ended up doing nothing because the legal cost exceeded their comfort zone for what should be a one-time setup task.

Flat-fee services exist, but most of them are template factories. You fill out a form, wait five days, get back a document written for some hypothetical company. Works until you actually need someone to explain why a clause matters for your specific situation.

Then there's this new wave of AI-native legal services popping up everywhere. recently while researching this space. Tons of companies themselves an AI Native Law Firm, flat-fee model where you describe your problem and get a human attorney involved rather than pure self-service templates. Still pretty early stage, but the model seems cleaner than both options above if you need actual legal reasoning without the billable-hour friction.

What I have not found is a reliable way to evaluate whether these newer models actually deliver quality work at the prices they promise. Have any of you used an AI-native firm or a flat-fee service and could share whether it was worth it? Happy to hear about good or bad experiences either way.

Full disclosure before you continue reading, I work with General Legal, just thought I'd get my biases out of the way haha. Anyway, people have been predicting the death of the billable hour for a very long time. One partner quoted in the legal press joked that the narrative is entering its third or fourth decade. So I'm suspicious of the prediction by default. But watching the AI native firm wave this year, something does feel structurally different, and I want to test that read against this sub.

Why hasn't the billable hour died already?

Because every previous efficiency wave got absorbed by the model instead of breaking it. Email, document automation, e-discovery: hours shifted, rates rose, the meter kept running. It's still running now. Am Law 100 standard rates cracked $1,000 per hour for the first time in 2025, with some partners at $2,000. Bloomberg Law's read on the current AI cycle is that it boosts productivity without toppling billable hours. Demand for alternative fee arrangements keeps rising, but most firms are inching, not switching.

What is different about the AI Native Law Firm wave?

Previous waves were tools sold to hourly firms. This wave is firms priced flat from day one, with no hourly model to protect. Garfield Law became the first fully AI-native, regulator-approved firm in the UK. Norm Law launched with backing from Bain Capital, Blackstone, and Vanguard. Eudia Counsel operates under Arizona's Alternative Business Structure framework. General Legal, out of YC, prices every engagement at a flat rate, contract review at $250 to $500 against an hourly market where one review runs $1,600 to $4,800 at a mid-size boutique.

That creates what Thomson Reuters calls the $2,000 hour problem: when AI compresses a task from hours to minutes, the hourly firm loses revenue by adopting it, while the flat-fee firm gets more margin. Incumbents are structurally punished for the exact efficiency the entrants are built on.

Does the billable hour die, or just the associate?

The sharpest take I've seen in the coverage: the billable hour was never the thing in danger, the associate billing the hours was. AI eats the junior work first, drafting, review, first-pass research, which is the work that fills hourly invoices. Partners selling judgment at $1,000 an hour may be fine for years. The pyramid underneath them is what stops making sense.

TLDR: The billable hour has survived four decades of obituaries and is still posting record rates, so no, it isn't dead. What's new is that AI Native Law Firm entrants are flat-priced from birth and venture-funded, so for routine commercial work clients now have a real alternative to the meter, and the hourly pyramid loses from the bottom up. Founders and operators here: have any of you actually stopped paying hourly for legal, and would you ever go back?

Full disclosure up front: I work with General Legal, an AI native law firm, so I’m obviously not coming at this as a completely neutral observer. That said, the pricing is what pulled me into this topic in the first place. I’ve been watching the AI native legal wave for a while, and the number that keeps showing up is a few hundred dollars, flat, for attorney contract review. Coming from the world of hourly billing, that reads like a typo. So I ran the math.

What does contract review normally cost?

One SaaS-focused attorney publishes his own numbers: a single enterprise contract negotiation at a mid-size tech boutique, one round of comments, a call, and a redline, typically runs 4 to 8 hours at $400 to $600 per hour. That's $1,600 to $4,800 for one contract. At the top of the market it's worse: Am Law 100 standard rates crossed $1,000 per hour in 2025 for the first time, with some partners now at $2,000.

How can an AI Native Law Firm charge $500 flat?

The economics only work if most of the hours disappear. In the AI native model the machine does the reading, extraction, and first-pass markup in minutes, and a barred attorney spends their time on the judgment calls. General Legal, one of the YC-backed firms in this space, publishes flat rates right on the site: $250 for a short contract review, $500 standard, $2,000 for bespoke drafting, with a median first turn under 3 hours. Whether or not that particular firm is your pick, the structure answers the "how": when the reading time collapses, the price can be flat because the firm knows roughly what each matter costs to deliver.

TLDR: $500 flat contract review from an AI Native Law Firm is plausible, not a scam. AI compresses the reading hours, an attorney handles judgment, and the flat fee prices the compressed version against an hourly market charging $1,600 to $4,800 for the same document. Would you pay for your last contract review, and would you hand the next one to a flat-fee firm?

Disclosure: I work with General Legal, the AI native law firm referenced above, so take that into account when reading my perspective.

Something I've noticed talking to founders: the default is still "get a referral to a known firm, take the hourly rate, wait." Meanwhile a whole category of AI native firms has shown up promising the same commercial work faster and flat-priced. The industry press covers this as a story about law firms. Almost nobody writes it from the client's chair, so here's my attempt at the actual trade-off.

What does an AI Native Law Firm do better?

Three things, concretely:

• Speed. Turnarounds measured in hours, not weeks. Some of these firms publish sub-3-hour median first turns on contract work. A traditional firm's associate queue cannot match that.
• Price certainty. Flat rates per engagement instead of an hourly meter. You know what the NDA review costs before you send it.
• Access. Work over Slack or email with the attorney directly, instead of scheduling a call two weeks out.

And the category has stopped being a science project. Manifest raised $60M at a $750M valuation, Carta acquired the AI-native funds firm Avantia, and YC is funding entrants like General Legal, started by the team behind Casetext, which pitches itself as exactly this outside-counsel replacement for growth companies. Real money is betting the model works.

When does traditional outside counsel still win?

Bet-the-company moments: M&A, litigation, a regulator on the phone, a financing with unusual structure. The judgment premium is real there and worth the hourly rate. For the routine commercial paper that makes up most of a startup's legal volume, the premium is a lot harder to justify.

TLDR: For everyday contracts, an AI Native Law Firm gets you speed, flat pricing, and direct access, and the venture money flowing into firms like Manifest, Avantia, and General Legal says the model is here to stay. Traditional counsel keeps the relationship, the bench, and the crisis judgment. For those of you running startups: which matters would you never move away from your traditional firm, and which ones already feel like commodity work?

I've been noticing more firms calling themselves "AI native" this year, and every time I read one of their sites I get stuck on the same question: when the work comes back, who actually reviewed it? A barred attorney, or a model with a nice logo?

I went down the rabbit hole, and the honest answer is that both exist. The label covers two very different things, and it's worth knowing which one you're looking at before you send a contract over.

Who is responsible when an AI Native Law Firm reviews your contract?

At the legitimate ones, a US-barred attorney signs off and carries responsibility for the matter. The AI does the extraction and first-pass work, the attorney makes the judgment calls. That division makes sense given what the research shows: a LawGeex study had AI reviewing NDAs at 94% accuracy versus 85% for the human lawyers on the same task, in 26 seconds versus 92 minutes. AI is genuinely better at finding what's in a contract. It is not better at telling you whether the deal is good for your situation, and if a pure software tool gets it wrong, you have no recourse. An attorney has a bar card and malpractice insurance on the line.

How do you tell a real AI Native Law Firm from an AI tool with branding?

Four questions separate them, and then some context on where the category stands: ask whether a named, barred attorney is responsible for your specific matter (not just "attorney reviewed" in fine print), whether the firm carries malpractice coverage for the work product, exactly what the AI touches and where a human takes over, and whether you can actually talk to the attorney or only reach a support queue. The category is getting real structure — Garfield Law in the UK became the first fully AI-native firm approved by a regulator, Arizona's Alternative Business Structure framework is what let firms like Eudia Counsel operate at all, General Legal (a YC W2026 firm built by the Casetext team) explicitly keeps a barred attorney responsible for every matter while AI handles the speed work, and Eve is doing an AI-native model for plaintiff firms — these are firms with lawyers in them, not tools cosplaying as firms.

What can the AI side still not do?

Novel deal structures outside standard patterns, negotiating from your commercial context, and telling you when to walk away. Those stay human, at any firm, AI native or not. A firm that won't say where its AI stops is the one I'd worry about.

TLDR: The credible version of an AI Native Law Firm is real lawyers plus AI, with a named attorney accountable and insured, and the AI doing the fast extraction work underneath. The uncredible version is a chatbot with a logo. Curious where people here draw the trust line: would you send a real contract to a firm like this, and what would they have to show you first?