Morgan & Morgan Commits to $1 Billion For Legal Tech + AI

Morgan & Morgan's "$1 Billion" AI Pledge Works Out to 4% of Revenue a Year

On 14 September 2026, Morgan & Morgan — which it describes as the largest plaintiff law firm in America — said it will spend at least $1 billion on legal tech and AI over the next ten years, formally launching its in-house platform, MX2. Artificial Lawyer, which broke the story, did the arithmetic: $1 billion over a decade is $100m a year, and against the $2.4 billion in revenue Reuters reported for the firm in June 2026, that's roughly 4% of annual income. The firm says the new commitment builds on $300m already spent on tech over the past five years, and co-founder John Morgan framed it as proof that AI investment isn't a Big Law exclusive.

Is $1 billion actually a big number here?

Not as dramatic as the headline figure suggests — $100m a year is about 4% of Morgan & Morgan's reported $2.4 billion revenue, spread over ten years.

That's still real budget, and the firm is right that plaintiff shops rarely talk about tech spend at this scale. But a ten-year horizon lets a firm announce a headline number while committing to relatively little in any single year, and Artificial Lawyer's own analysis flags that this is "perhaps not the numbers so much" that matter as the strategic signal. Worth noting too: the same reporting says Morgan & Morgan has recently explored external investment — a detail that sits oddly next to a "we don't need outside money" framing.

What does MX2 actually do?

It's four bundled tools — case insights and agentic workflows inside Litify, document drafting, medical-record extraction, and semantic search across case files.

Per the firm, MX2 Agent embeds trial prep into Litify; First Draft handles case-aware document generation in Microsoft Office; Medical builds chronologies from records; and Search surfaces key facts across unstructured case data. Morgan & Morgan says MX2 has already processed "hundreds of thousands" of medical record requests and driven "significant increases" in demands and discovery responses — but it doesn't publish a baseline, a time window, or who audited those figures. Those are the firm's own metrics, on the firm's own platform.

Why is this happening at a plaintiff firm rather than Big Law?

Plaintiff firms eat their own hourly costs, so AI that speeds up case work cuts overhead directly instead of cutting billable revenue.

That's the structural reason this move makes sense here and is harder to replicate at hourly-billing firms: Morgan & Morgan isn't selling attorney time, it's absorbing the cost of building cases on contingency. Faster medical record retrieval and discovery response means more matters handled with the same headcount — the same logic that's driving investment into plaintiff-adjacent tools like Supio, EvenUp and Eve.

What should a buyer ask their own e-discovery or AI vendor after this?

Ask for the metric's definition, the baseline it's measured against, and whether an outside party — not the vendor — verified the improvement.

Any platform, including ones on this site, that cites case-outcome or throughput gains should be able to show what "faster" or "stronger" is measured against, not just assert it. If a vendor won't share the baseline, treat the number as marketing until it can be checked against your own case data.

Frequently asked questions

How much has Morgan & Morgan spent on tech before this pledge?

The firm says $300m over the past five years, which it frames as the foundation the new $1 billion, ten-year commitment builds on.

Does the $1 billion pledge cover all Morgan & Morgan offices or just MX2?

The announcement ties the figure specifically to "legal tech and AI" spend and the MX2 platform launch; the sources don't break out a separate MX2-only budget.

Source: Artificial Lawyer, "Morgan & Morgan Commits to $1 Billion For Legal Tech + AI," 14 September 2026.