INDUSTRY /05 · LAST UPDATED APR 29, 2026
Legal

AI Automation for Law Firms.

Recapture billable hours lost to admin and document chaos.

5–10 hrs
billable / associate / week
60%
faster intake-to-engagement
+8 pts
realization rate
See sample workflows →
TL;DR — Key takeaways
4 bullets · 30-second read
  • What slows law firms down: client intake calls eat associate time.
  • What we ship: Recapture billable hours lost to admin and document chaos.
  • Tools we plug into: Clio, MyCase, PracticePanther, NetDocuments.
  • Headline outcome: 5–10 hrs billable / associate / week · 60% faster intake-to-engagement.
WORKFLOW · INDUSTRY /05
Law Firms
⟶ Inbound
Inbound lead
Document
Status request
Recurring task
◆ AI layer
↳ classify
↳ enrich
↳ draft
↳ route
↳ log
eval harness on every step
⟶ Outcome
5–10 hrs
billable / associate / week
60%
faster intake-to-engagement
+8 pts
realization rate
Plugs into ↘ClioMyCasePracticePantherNetDocumentsiManageSmokeball
ships in 3–6 weeks

Where the hours go in law firms.

Four patterns we hear from law firms on every diagnostic call. None of them get fixed by hiring. All of them get fixed by writing the implicit rules down and letting AI carry the rote work.

  • /01
    Client intake calls eat associate time
    A 30-minute intake gets booked, then becomes 45 minutes of typing into the practice-management tool. Multiply by every new matter. That is real billable time lost.
  • /02
    Document review is mind-numbing and slow
    A 600-page discovery production lands at 4pm. Two associates pull all-nighters extracting facts. The same shape of work, every month.
  • /03
    Time tracking is two weeks behind reality
    Billable entries get reconstructed from calendars and email on Friday. Some get missed. Some get under-counted. The realization rate quietly degrades.
  • /04
    Conflict checks delay matter opening
    A new matter waits for conflicts. The conflicts queue waits for a paralegal. The client wonders why the engagement letter has not arrived.

The automations, in plain English.

7 components · ships in 3–6 weeks
/01

Intake agent (web + voice)

Qualifies prospects, books consults, and writes a structured intake summary into your practice-management tool before the associate joins.

/02

Document summarization

Discovery, contracts, depositions → fact-extracted summaries with citations to page and line. Associates start from a draft, not from page one.

/03

Time-entry assistant

Calendar + email + Slack → drafted billable entries with matter codes. Associates approve and submit. Realization rate goes up because nothing gets missed.

/04

Conflict-check automation

Cross-references new parties against existing matters, ownership trees, and prior representations. Returns a clean pass or a flagged report in minutes.

/05

Client status updates

Drafted weekly status emails per matter, grounded in the docket and recent activity. Partners review and send. Clients stop calling for updates.

/06

Court filing prep + deadline tracking

Filing checklists per court and matter type, with deadline calendars and pre-flight document checks. Nothing gets filed late because someone forgot.

/07

Engagement letter automation

New matter → draft engagement letter from your firm template, with rates, scope, and conflicts disposition pre-filled. Partner signs.

Manual today, automated tomorrow.

Top 4 bottlenecks for law firms, paired with the Scooper module that ships against each.
#Manual todayWith Scooper
/01Client intake calls eat associate timeIntake agent (web + voice)
/02Document review is mind-numbing and slowDocument summarization
/03Time tracking is two weeks behind realityTime-entry assistant
/04Conflict checks delay matter openingConflict-check automation

Your stack. Smarter.

We do not migrate you off your software. We build a layer on top.

ClioMyCasePracticePantherNetDocumentsiManageSmokeball

What ROI should we expect from AI automation for Law Firms?

Associates reclaim 5–10 billable hours a week. Intake-to-engagement time drops 60%. Realization rate climbs because every minute is captured.
5–10 hrs
billable / associate / week
60%
faster intake-to-engagement
+8 pts
realization rate

Three steps. No surprises.

01

Audit

15-min discovery → two-week paid diagnostic. Operator interviews, workflow shadowing, and three nasty real examples worked end-to-end. By day ten you have a scope, a price, and a signed-off KPI.

$9,500 · 2 weeks
02

Build

Senior operators in your repo and your Slack. Code, prompts, and evals shipped in 3–6 weeks. KPI signed off in writing before we start. Miss the number, the next sprint is on us.

From $14k · 3–6 weeks
03

Handoff with SOPs

Two rounds of post-launch tuning. Then your team owns it. We hand over the code, the eval harness, the runbook, and the SOPs. No retainer required. No vendor lock-in.

Owned by you · day one

A real engagement.

Anonymized · numbers from the books

A 22-attorney litigation boutique ran a six-week build. Intake agent, document summarization, and a time-entry assistant. The realization rate went from 78% to 86% in the first quarter. Associate time on admin dropped from 31% to 14%. The managing partner described it as "the only software the associates have not complained about."

Talk to us about your version of this →

Things law firms actually ask.

  • Is this confidential and privileged-safe?
    Privileged data stays in your environment. We use private model deployments where required, no cross-tenant training, and full audit logs. Your DPAs and engagement-letter language flow through to us; we do not water them down.
  • Can AI replace paralegal work?
    No. It removes the parts of paralegal work that make paralegals quit — repetitive document chase, redaction grunt work, calendar tetris. The judgment work stays with humans, and they get more of it.
  • How is client data handled?
    Per-matter partitioning, encryption in transit and at rest, retention policies tied to your engagement letters. Data deletion on matter close is automated and logged.
  • Does it integrate with our practice management software?
    Clio, MyCase, PracticePanther, Smokeball — yes. iManage and NetDocuments — yes via standard APIs. Less common systems get scoped during the diagnostic; we have not failed to integrate one yet.
  • What about state bar AI guidance?
    We track ABA Model Rule 1.1 commentary and state bar guidance, including the recent guidance from California, New York, and Florida. Anything that looks like UPL or improper delegation is structurally blocked in the agent. You stay clean.
Next step
Book a 15-minute audit for your law firms.

We will tell you in 15 minutes whether AI fits your bottleneck. If it does, we will scope a two-week paid diagnostic. If it does not, we will tell you that too.

Book a 15-min audit

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