Imaduddeen Khan
See the 15 wins

For law firms, GCs & in-house counsel

You charge for thinking. You're still spending half the day reading.

Discovery, due diligence, contract review, drafting, court-list tracking — these chunks of legal work are now agentic. Below are the 15 places I deploy AI for Indian law firms and corporate legal teams, with the billable hours you protect.

₹81.13 L / year saved
For a boutique law firm · math shown below
Calculations are for this size of business
Type
Boutique law firm
Annual turnover
₹1–4 Cr fee book
Team size
4–15 lawyers + 2–5 support
Locations
1 office

Bigger setup? Multiply the numbers by your scale (e.g. 3 clinics ≈ 3× savings). Smaller? Divide. The ratio of savings to cost stays the same.

Talk to Imad on WhatsAppSee the 15 automations
Contract reviewDue diligenceCourt trackingLegal researchCompliance drafting
Imad Khan · AI Automation

Built & shipped by Imaduddeen Khan — same engineer behind the heavy-haul AI platform

If this sounds like your week

Your associates didn't go through 5 years of law school to redact 200 NDAs a month.

Read it honestly. If even three of these hit, you are bleeding hours and money you will never get back.

Standard contracts re-drafted from scratch instead of from a playbook.

Due diligence rooms reviewed line by line; weeks lost.

Court listing & order tracking on WhatsApp groups.

Legal research means 4-hour database dives for one judgement.

Compliance calendars in Excel — RBI, SEBI, MCA dates slip.

Time-sheets reconstructed from memory on the 28th.

555 hrs
Hours wasted today
team time / month
89 hrs
Hours after AI
466 hrs returned
₹6.76 L
Monthly cost saved
81% reduction
₹81.13 L
Annual savings
compounds every year

The 15 automations

Traditional way → AI way, with the math on the table

Every line below is a real workflow I have built or could ship inside 2–6 weeks. The per-task numbers describe a reference setup at the upper end (busy clinic, full QSR week, etc.) using a loaded labour rate of ₹1,500/hr. The headline savings of ₹81.13 L/year at the top of the page are these per-task savings scaled down to the boutique law firm described above. If your business is larger, multiply; if smaller, divide.

01 · Contract review

Contract review against a playbook

Traditional way

Associate reads contract, marks deviations from firm playbook, drafts redlines.

  • • Time: 3 hrs × 60 contracts / month
  • • Volume: ≈ 60
  • • Total: 180 hrs / month
AI way (what I build)

Agent runs playbook check, drafts redlines, summarises risk in plain language.

  • • Time: 20 min × 60
  • • Human in loop: Associate finalises
  • • Total: 20 hrs / month
Saves 160 hrs & ₹2,31,500 every month — (180 hrs × ₹1,500 → 20 hrs × ₹1,500 + ₹8,500 tools)
What you'll feel

You bill the same hours but for advisory work, not for reading.

180h
manual / mo
20h
with AI / mo
₹2,70,000
costs you now
₹2,31,500
back in your pocket
02 · Drafting

First-draft NDAs, MSAs, SOWs, employment letters

Traditional way

Junior draws from old precedents, edits to fit the deal.

  • • Time: 2 hrs × 80 / month
  • • Volume: ≈ 80
  • • Total: 160 hrs / month
AI way (what I build)

Agent generates first draft from term sheet inputs; junior tightens it.

  • • Time: 20 min × 80
  • • Human in loop: Junior finalises
  • • Total: 27 hrs / month
Saves 133 hrs & ₹1,94,000 every month — (160 hrs × ₹1,500 → 27 hrs × ₹1,500 + ₹5,500 tools)
What you'll feel

Standard work moves at one-fifth the time without losing nuance.

160h
manual / mo
27h
with AI / mo
₹2,40,000
costs you now
₹1,94,000
back in your pocket
03 · Due diligence

M&A / fundraising due-diligence reviews

Traditional way

Team reads thousands of files in VDR — contracts, board minutes, IP, litigation, tax.

  • • Time: 300 hrs × 3 deals / quarter
  • • Volume: ≈ 100 hrs / month avg
  • • Total: 300 hrs / month
AI way (what I build)

Agent maps files to checklist, extracts key terms, flags red flags, drafts DD report.

  • • Time: 70 hrs × monthly avg
  • • Human in loop: Partner signs
  • • Total: 70 hrs / month
Saves 230 hrs & ₹3,33,000 every month — (300 hrs × ₹1,500 → 70 hrs × ₹1,500 + ₹12,000 tools)
What you'll feel

Deal closure cycles shrink. Clients stop asking 'when will the report come?'

300h
manual / mo
70h
with AI / mo
₹4,50,000
costs you now
₹3,33,000
back in your pocket
04 · Research

Case-law research across SCC / Manupatra / IndianKanoon

Traditional way

Associate hunts through DBs, reads 30 judgements to find 4 useful ones.

  • • Time: 3 hrs × 100 queries / month
  • • Volume: ≈ 100
  • • Total: 300 hrs / month
AI way (what I build)

Agent searches multiple DBs, ranks judgements by relevance, drafts a research note with citations.

  • • Time: 20 min × 100
  • • Human in loop: Associate verifies citations
  • • Total: 35 hrs / month
Saves 265 hrs & ₹3,90,000 every month — (300 hrs × ₹1,500 → 35 hrs × ₹1,500 + ₹7,500 tools)
What you'll feel

Your associates produce richer notes in less time. Partners notice.

300h
manual / mo
35h
with AI / mo
₹4,50,000
costs you now
₹3,90,000
back in your pocket
05 · Court tracking

Daily court listing & order pulls

Traditional way

Associates check cause-list portals every morning, copy orders, share with partners.

  • • Time: 1 hr / day × 25
  • • Volume: monthly
  • • Total: 25 hrs / month
AI way (what I build)

Bot tracks cause-list across HCs / NCLT / DRT, fetches orders, summarises and pings the responsible partner.

  • • Time: auto
  • • Human in loop: Associate reads summaries
  • • Total: 4 hrs / month
Saves 21 hrs & ₹29,000 every month — (25 hrs × ₹1,500 → 4 hrs × ₹1,500 + ₹2,500 tools)
What you'll feel

Nothing slips. Partners stop being woken at 7 AM by panicked clients.

25h
manual / mo
4h
with AI / mo
₹37,500
costs you now
₹29,000
back in your pocket
06 · Bundles

Court bundle / paperbook creation

Traditional way

Para-legal compiles, paginates, indexes, prints bundles for hearings.

  • • Time: 8 hrs × 30 hearings / month
  • • Volume: ≈ 30
  • • Total: 240 hrs / month
AI way (what I build)

Tool ingests pleadings + exhibits, paginates, indexes, OCRs scanned docs, produces e-bundle.

  • • Time: 1 hr × 30
  • • Human in loop: Para-legal verifies
  • • Total: 30 hrs / month
Saves 210 hrs & ₹3,10,500 every month — (240 hrs × ₹1,500 → 30 hrs × ₹1,500 + ₹4,500 tools)
What you'll feel

Para-legals stop pulling all-nighters before hearings.

240h
manual / mo
30h
with AI / mo
₹3,60,000
costs you now
₹3,10,500
back in your pocket
07 · Pleadings

Pleadings & legal-notice drafting

Traditional way

Drafted from scratch using precedents, formatted manually.

  • • Time: 4 hrs × 40 / month
  • • Volume: ≈ 40
  • • Total: 160 hrs / month
AI way (what I build)

Agent drafts from facts + cause of action + relief; lawyer adds strategy and case-law.

  • • Time: 45 min × 40
  • • Human in loop: Lawyer signs
  • • Total: 30 hrs / month
Saves 130 hrs & ₹1,90,500 every month — (160 hrs × ₹1,500 → 30 hrs × ₹1,500 + ₹4,500 tools)
What you'll feel

More volume per associate. Better consistency in firm style.

160h
manual / mo
30h
with AI / mo
₹2,40,000
costs you now
₹1,90,500
back in your pocket
08 · Compliance

Corporate / regulatory compliance calendar

Traditional way

Para-legal tracks RBI / SEBI / MCA / IBC dates manually for client portfolio.

  • • Time: 30 hrs / month
  • • Volume: client roster
  • • Total: 30 hrs / month
AI way (what I build)

Auto calendar pulls dates from regulations + filings, alerts owner, drafts filing checklists.

  • • Time: auto
  • • Human in loop: Para-legal signs
  • • Total: 5 hrs / month
Saves 25 hrs & ₹35,000 every month — (30 hrs × ₹1,500 → 5 hrs × ₹1,500 + ₹2,500 tools)
What you'll feel

Slips drop to zero. Compliance becomes a service line you can price.

30h
manual / mo
5h
with AI / mo
₹45,000
costs you now
₹35,000
back in your pocket
09 · Client comms

Client status updates & matter summaries

Traditional way

Lawyer writes weekly update mails per matter.

  • • Time: 1.5 hrs / day × 25
  • • Volume: monthly
  • • Total: 37 hrs / month
AI way (what I build)

Copilot drafts status update from matter activity; lawyer edits for tone.

  • • Time: 20 min / day
  • • Human in loop: Lawyer approves
  • • Total: 8 hrs / month
Saves 29 hrs & ₹41,000 every month — (37 hrs × ₹1,500 → 8 hrs × ₹1,500 + ₹2,500 tools)
What you'll feel

Clients feel attended to without lawyers losing billable focus.

37h
manual / mo
8h
with AI / mo
₹55,500
costs you now
₹41,000
back in your pocket
10 · KYC

Client KYC, conflict & onboarding

Traditional way

Manual KYC + conflict check across past matters.

  • • Time: 60 min × 30 onboardings
  • • Volume: ≈ 30 / month
  • • Total: 30 hrs / month
AI way (what I build)

Tool runs CKYC, beneficial-owner search, conflict check across firm DB.

  • • Time: 5 min × 30
  • • Human in loop: Partner signs
  • • Total: 4 hrs / month
Saves 26 hrs & ₹36,500 every month — (30 hrs × ₹1,500 → 4 hrs × ₹1,500 + ₹2,500 tools)
What you'll feel

Onboarding becomes invisible. Conflicts surface before, not after.

30h
manual / mo
4h
with AI / mo
₹45,000
costs you now
₹36,500
back in your pocket
11 · Time-sheets

Time-sheet capture & reconstruction

Traditional way

Lawyers reconstruct on 28th from calendar, mail, memory.

  • • Time: 4 hrs / lawyer / month × 12
  • • Volume: 12 lawyers
  • • Total: 48 hrs / month
AI way (what I build)

Auto-capture from calendar, mail, doc edits, court visits; lawyer edits/approves.

  • • Time: 20 min / lawyer / month
  • • Human in loop: Lawyer approves
  • • Total: 4 hrs / month
Saves 44 hrs & ₹63,500 every month — (48 hrs × ₹1,500 → 4 hrs × ₹1,500 + ₹2,500 tools)
What you'll feel

Realisation rate climbs because hours stop being lost.

48h
manual / mo
4h
with AI / mo
₹72,000
costs you now
₹63,500
back in your pocket
12 · Discovery

E-discovery & document review

Traditional way

Team reviews thousands of mails / files for privilege & relevance.

  • • Time: 200 hrs / matter × 1 active matter
  • • Volume: monthly avg
  • • Total: 200 hrs / month
AI way (what I build)

Predictive coding + LLM tagging for relevance, privilege, hot docs; lawyers review highest-ranked first.

  • • Time: 40 hrs / matter
  • • Human in loop: Lawyer signs production
  • • Total: 40 hrs / month
Saves 160 hrs & ₹2,31,000 every month — (200 hrs × ₹1,500 → 40 hrs × ₹1,500 + ₹9,000 tools)
What you'll feel

Litigation costs come down without sacrificing thoroughness.

200h
manual / mo
40h
with AI / mo
₹3,00,000
costs you now
₹2,31,000
back in your pocket
13 · Privacy

DPDPA / privacy assessments & DPIAs

Traditional way

Privacy lawyer interviews business teams, drafts DPIA manually.

  • • Time: 20 hrs × 4 DPIAs / month
  • • Volume: ≈ 4
  • • Total: 80 hrs / month
AI way (what I build)

Agent runs DPIA questionnaire, maps to DPDPA obligations, drafts report; lawyer reviews.

  • • Time: 3 hrs × 4
  • • Human in loop: Lawyer signs
  • • Total: 12 hrs / month
Saves 68 hrs & ₹97,500 every month — (80 hrs × ₹1,500 → 12 hrs × ₹1,500 + ₹4,500 tools)
What you'll feel

Privacy practice becomes a profitable service line, not a side project.

80h
manual / mo
12h
with AI / mo
₹1,20,000
costs you now
₹97,500
back in your pocket
14 · Knowledge

Internal precedent / playbook search

Traditional way

Lawyers ask senior 'do we have a precedent for X?' — slow and inconsistent.

  • • Time: scattered ≈ 30 hrs / month
  • • Volume: across team
  • • Total: 30 hrs / month
AI way (what I build)

RAG over firm precedents, opinions, playbooks; lawyer asks in plain English.

  • • Time: instant
  • • Human in loop: Senior for nuance
  • • Total: 5 hrs / month
Saves 25 hrs & ₹34,500 every month — (30 hrs × ₹1,500 → 5 hrs × ₹1,500 + ₹3,000 tools)
What you'll feel

Junior lawyers stop reinventing wheels. Knowledge actually compounds.

30h
manual / mo
5h
with AI / mo
₹45,000
costs you now
₹34,500
back in your pocket
15 · Analytics

Practice management dashboard for partners

Traditional way

Reports compiled monthly: WIP, billed, collected, realisation, utilisation.

  • • Time: 30 hrs / month
  • • Volume: ops
  • • Total: 30 hrs / month
AI way (what I build)

Live dashboard: WIP per matter, AR aging, lawyer utilisation, win rate; weekly partner digest.

  • • Time: auto
  • • Human in loop: Partners decide
  • • Total: 4 hrs / month
Saves 26 hrs & ₹36,000 every month — (30 hrs × ₹1,500 → 4 hrs × ₹1,500 + ₹3,000 tools)
What you'll feel

Partners run the firm with numbers, not hunches.

30h
manual / mo
4h
with AI / mo
₹45,000
costs you now
₹36,000
back in your pocket

The honest math

₹81.13 L back every year.
5587 hours your team gets to live again.

Add a one-time build of ₹1.89 L and a small monthly run-cost of ₹7,020 for tools. Payback shows up in 1 months. Everything after that is profit.

WhatsApp Imad now See Imad's portfolio
One-time build
₹1.89 L
Monthly run-cost
₹7,020
Monthly savings
₹6.76 L
Payback period
1 mo

Why people remember Imad

You'll be hiring an engineer who already shipped this.

The same systems described above — agentic workflows, document extraction, voice agents, secure APIs, deployment — are running today inside a logistics company I built for. Not slides. Production.

Production-grade systems

13 modules, real users, real money flowing through them — see the heavy-haul case study.

Industry-aware design

Workflows are designed around how your domain actually moves, not generic ChatGPT wrappers.

Fast turnaround

First working slice in 7–14 days, full build in 2–6 weeks for most workflows.

Honest pricing

Fixed-scope quotes. You see the calculation, the build cost, and the payback month before signing.

Questions law firms, GCs & in-house counsel actually ask

Frequently asked questions

Q.Will AI replace junior lawyers?

No — it removes the soul-crushing parts: first-pass contract redlines, cite checks, e-discovery sorting. Juniors get to do real legal thinking faster.

Q.Is AI accurate enough for legal due diligence?

AI gets you to a 90% draft in minutes; a partner finishes the last 10% in an hour, instead of a junior taking three days.

Next step is small

Send one WhatsApp. Get a free workflow audit.

I'll look at one painful workflow in your business and tell you, in writing, what it would take to automate it. No deck, no obligation.

WhatsApp +91 91251 97678Back to Imaduddeen Khan's portfolio

Built by Imaduddeen Khan · AI Automation Engineer

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