HOW AI CUT CONTRACT REVIEW BY 75-85%

The story of AI in legal practice in 2026 is

no longer about whether firms are piloting

the technology. The pilots happened. The

deployments happened. The named firms are

reporting contract review time reductions of

70 to 85 percent. The remaining question —

the one mid-market readers should be asking

— is what the firms ahead of the curve did

differently, and what the firms still ramping

up should learn before they make the same

expensive mistakes.

The Deployments That Actually

Shipped

Allen & Overy — now A&O Shearman after

the 2024 merger — was the first BigLaw firm

to deploy Harvey AI firmwide back in 2023.

The deployment expanded across the merged

firm’s 7,000+ employees. Use cases include

contract analysis, multilingual drafting, and

regulatory horizon-scanning. The firm and

Harvey jointly launched agentic workflow tools

in 2025 that handle antitrust filing analysis

and loan document review with progressive

autonomy.

DLA Piper expanded its Harvey deployment

to roughly 5,000 licenses, making it one of

the largest legal AI rollouts in the world. The

number matters less than the operational reality

behind it: thousands of attorneys, paralegals,

and support staff using AI as part of daily workflow rather than

as an experiment.

Macfarlanes took a different

approach. After achieving

over 80% internal Harvey AI

adoption, the firm launched

Amplify in early 2025 — a

client-facing platform that

lets in-house legal teams

perform document analysis

with Macfarlanes’ proprietary

methodologies built in. It’s a

meaningful shift in business

model: from selling lawyer

hours to selling AI-powered

legal product, with the firm’s

expertise embedded in the

tool rather than in a person’s

billable time.

Harvey AI reports more than

100,000 lawyers across 1,300

organizations now use the

platform. A majority of the

Am Law 100 are customers.

The company’s March 2026

fundraise valued it at $11

billion. The market is no longer

wondering whether legal AI

works — it’s wondering which

firms will adapt fast enough to

remain competitive.

The Time Savings Are

Real

Across multiple independent

reviews and firm-level reports

in 2025–26, contract review

time reductions cluster in

the 70 to 85 percent range.

A contract that took a senior

associate eight hours to review

now takes 60 to 90 minutes.

First-pass redlining that

consumed a day of paralegal

time happens in an hour. Issue

spotting that depended on

years of accumulated tacit

knowledge now happens

consistently across the team.

The associates didn’t lose

their jobs. They lost the parts

of their jobs that made them

want to quit. The work that

survives — strategic judgment,

client counsel, complex

negotiation, novel legal

questions — is the work most

lawyers wanted to be doing

in the first place. Reported

associate satisfaction in firms

that deployed AI thoughtfully

has gone up, not down.

The Lessons for Mid-Size

Firms and Corporate Legal

Departments

Most mid-market readers

don’t run a 7,000-attorney

firm. They run a 30-to-100-

attorney firm, or they’re the

General Counsel of a mid-

market company with a small

in-house team. The lessons

from the BigLaw deployments

translate, but with three

important adjustments.

First, the tool choice changes

at smaller scale. Harvey AI is

positioned at and priced for

large firms with complex multi-

practice needs. For mid-size

firms, Spellbook (Microsoft

Word-native drafting and

review for small and solo

firms), LegalOn (specialized

contract review with pre-built

playbooks), and Robin AI

(review-as-a-service for teams

that want managed delivery)

are more appropriate starting

points. The ROI math works

at every scale; the right tool

varies by firm size and matter

mix.

Second, the implementation

pattern is more important

than the tool. The successful

BigLaw deployments share

three traits: a partner-level

champion (not just a tech

that included the change

management and not just

the software, and an explicit

decision about which work

the AI would and wouldn’t

do. Mid-size firms that copy

the tool choice but skip the

implementation discipline get

the same predictable failures.

Third, the business

model implication is the

underdiscussed part.

Macfarlanes’ Amplify shows

where this is going: firms

that build AI-powered legal

product on top of their

methodologies can sell at a

price point and margin profile

that pure billable-hours work

can’t match. Mid-size firms

in specialty practice areas —

employment law, real estate,

immigration, IP — have the

clearest path to building

product on top of expertise.

The window to do that early

enough to matter closes within

the next 18 to 24 months.

The Bottom Line

The contract-review revolution

in legal practice is the clearest

example in any white-collar

profession of AI delivering

on the productivity promise

without eliminating the

workers. The associates are

still there. The work shifted

up the value chain. The clients

got faster turnaround. And the

firms that moved first are now

in a structural position to do

what Macfarlanes is doing —

sell legal product, not just legal

hours. The firms still treating

AI as a future-state initiative

are running out of runway.