Client Results

The numbers behind the transformation

Twelve months of live production data from firms that made the switch. No projections, no simulations -- actual outcomes from real caseloads.

47 Firms analyzed
2.1M Documents processed
62% Avg. time reclaimed
$4.3M Recovered billables

Results across every practice area

From solo boutiques to 200-attorney regional firms, outcomes hold across scale and specialty.

Corporate attorneys in boardroom M&A
Strand Whitmore Advisors · Boston, MA

Closing a $280M acquisition four weeks ahead of schedule

Due diligence on a mid-market manufacturing acquisition involved 14 data rooms and nine counterparty counsel firms. LawFirm AI's contract abstraction layer surfaced 23 anomalous reps-and-warranties clauses that human reviewers had cleared in an earlier pass.

28d faster close
23 risk flags found
$1.2M fee savings
Employment law firm office Employment
Navarro Ellison · Austin, TX

Handling 300% more EEOC matters with a flat associate headcount

When three companies in the same industry group became clients simultaneously, the four-partner employment boutique faced an intake crisis. LawFirm AI automated initial document classification, deposition summary drafts, and demand letter first passes.

3x caseload capacity
68% faster intake
0 new hires needed
Estate planning consultation Estate Planning
Hartwell & Osei Partners · Atlanta, GA

Cutting trust document drafting from four days to four hours

A 12-attorney estate planning firm with 340 active clients found associates spending 60% of their time on instrument drafting -- revocable trusts, pour-over wills, durable powers. LawFirm AI's assembly engine reduced that to light review and signing coordination.

94% drafting time saved
2.1x client capacity
$218K annual margin gain
Patent attorneys reviewing technology diagrams IP / Patent
Chen Vogt IP · San Jose, CA

Doubling patent prosecution throughput without diluting quality

Patent prosecution requires consistent claim language, exhaustive prior art cross-references, and meticulous response drafting. LawFirm AI's IP module produced office action response drafts with citation accuracy that matched the firm's senior agents on blind review.

2x applications handled
99.1% citation accuracy
31% higher allowance rate
Insurance defense litigation team Insurance Defense
Brecker Laine Defense Group · Phoenix, AZ

Recovering $1.7M in write-off billing through AI time reconstruction

Insurance defense firms live and die by billing precision. LawFirm AI's time reconstruction engine analyzed email threads, document edits, and docket activity to surface 14,200 unbilled hours across 18 months that associates had either forgotten to log or written off as non-billable out of habit.

$1.7M recovered revenue
14.2K unbilled hours found
18mo lookback period
Commercial real estate attorneys Real Estate
Delacourt Property Law · Denver, CO

Processing 400 commercial leases in the time it used to take for 60

A fast-growing commercial real estate practice was turning away clients because lease abstracting was creating a review bottleneck. LawFirm AI processed 400 leases in a single quarter, extracting rent escalation clauses, renewal options, and SNDA requirements into structured spreadsheets ready for attorney sign-off.

6.7x throughput increase
88% cost reduction
400 leases one quarter

Aggregate outcomes across the client base

Compiled from anonymized production telemetry, 47 firms, Q1 2025 through Q1 2026.

62% Average reduction in document review time
91% Of clients expanded after 90-day trial
2.4x Average client capacity increase year one
$91K Average annual margin gain per attorney

Kirkland Morrow: Eleven days, 840,000 documents, zero privilege waiver

The matter arrived on a Tuesday in October. An antitrust complaint had just been served on a mid-cap industrial supplier, and the discovery schedule the court set was aggressive: 90 days to produce responsive documents from a six-year custodial collection spanning 28 individual email archives and four shared drives.

Managing partner Dana Pellegrino's first call was to her litigation support vendor. The quote came back at $620,000 for contract review staffing, hosting, and production. Her second call was to LawFirm AI's customer success team.

The LawFirm AI deployment was not new -- the firm had been using the platform for smaller matters since April -- but this was the first true stress test. The platform ingested all 840,000 documents over 36 hours via secure FTP. Privilege classification began automatically, running against the firm's custom privilege log rules and the 14 attorney-client relationships the system had learned from prior matters.

By day four, the platform had classified 218,000 documents as clearly non-responsive and routed them out of the review queue entirely. The remaining 622,000 were tiered by responsiveness confidence score, allowing Pellegrino's six senior associates to concentrate their review time on the 94,000 documents where confidence fell below the threshold -- the genuinely ambiguous middle band where attorney judgment actually matters.

The 42 hot documents -- internal emails discussing pricing strategy in terms that tracked the complaint's core allegations -- were surfaced by day nine. Two of them had been buried inside lengthy email threads that would have taken a contract reviewer an estimated three hours each to process manually. The AI flagged them in seconds.

Total time from ingestion to production-ready set: 11 days. Total cost: $38,400, inclusive of platform fees and associate review time. The privilege log was auto-populated with 94% of the required fields complete, requiring only attorney attestation and date verification. There were no privilege waiver incidents during the litigation, which settled seven months after the complaint was filed.

How the deployment unfolded

Week 0

Matter intake and ingestion

All 840,000 documents ingested via secure FTP over 36 hours. Custodian profiles and privilege relationships configured against existing firm records.

Days 1-4

Automated classification at scale

218,000 clearly non-responsive documents routed out. 622,000 tiered by responsiveness confidence. Associates briefed on the AI-generated tier structure.

Days 5-9

Associate review of ambiguous tier

Six senior associates reviewed 94,000 documents requiring attorney judgment. AI-generated summaries reduced per-document review time by an estimated 55%.

Day 9

Hot documents surfaced

42 high-relevance documents identified by AI pattern matching across pricing-related terminology in the complaint. Two found buried in threads the human tier would have reached in week three.

Day 11

Production set ready, privilege log complete

Full production set packaged, privilege log auto-populated at 94% completion. Partner review and sign-off in four hours. Production delivered on day 12.

What managing partners say

Unedited feedback collected six months post-deployment.

★★★★★

"The ROI conversation with my partners was the easiest I've had in twenty years. Three months of data, 60% time savings on doc review, and the platform paid for itself twice over before the trial period ended."

RL
Robert Laine
Managing Partner, Brecker Laine Defense Group
★★★★★

"My associates used to spend Tuesday afternoons doing lease abstracts. Now they're doing the work that actually builds their careers. Turnover has dropped. That alone justifies the cost."

MD
Marie Delacourt
Founder, Delacourt Property Law
★★★★★

"We were skeptical about quality. So we ran the AI outputs alongside our senior agents for 90 days. By month two the AI-generated claim language was indistinguishable. Now it's indispensable."

JC
James Chen
Managing Partner, Chen Vogt IP

Ready to see your firm's numbers?

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