Turn your faculty's law expertise into one governed learning system.
Give one cohort an institute-branded portal for content, assessments, doubts, revision and progress. Start from an editable law library, adapt with AI chat and keep every academic decision with your faculty.
Paid pilot · One exam track · Up to 300 active learners · Faculty approval before publication and final grading
One governed academic loop
From an approved source to a faculty action
- 1
Start from an approved source
Use your material or an independent copy from the ACIL law library.
- 2
Adapt with chat and AI
Refine notes, questions and explanations for your teaching approach.
- 3
Faculty reviews and publishes
Drafts stay private until an authorised faculty member approves them.
- 4
Students learn and attempt
Courses, mocks, doubts, revision and feedback stay connected.
- 5
Faculty acts on evidence
Use cohort signals to revise content or intervene with students.
The operating gap
Most institutes do not need another generic LMS.
Fragmented today
Notes, drives, chat groups, videos and test tools leave faculty repeating updates and students without a clear next step after an attempt.
Connected with ACIL
Content, assessment, grounded support and intervention become one institute-owned workflow without replacing the teaching model that already works.
AI removes blank-page work. It does not replace academic authority.
The product earns trust by making the human decision visible at every high-risk point: source selection, publication, grading and student-facing correction.
Your institute leads the experience
Your name, logo and colours are primary. Students see only a small, consistent academic-technology attribution to ACIL.
An editable law-library starting point
Copy entitled ACIL material into your institute's own workspace, retain source provenance and adapt without changing the master library.
Chat-assisted faculty adaptation
Draft and refine lessons, explanations and questions conversationally while keeping publication under faculty control.
Assessments with human judgment
Create quizzes and mocks, review attempts and use AI suggestions for descriptive feedback while faculty confirms the final score.
A connected student learning loop
Bring topics, notes, video, quizzes, mocks, grounded doubts, revision and progress into one coherent student journey.
Signals for timely intervention
See where a cohort is struggling and turn assessment evidence into a content revision, targeted practice or faculty follow-up.
Governance is part of the product, not a disclaimer after it.
Law-learning AI can be useful only when uncertainty, source quality and human responsibility are explicit. Founding pilots keep those boundaries narrow and reviewable.
AI-generated material remains a draft until faculty publishes it.
Descriptive scoring suggestions remain advisory; faculty confirms the final grade.
Grounded doubt support cites approved source material or escalates uncertainty.
Muskan's recurring SME audit checks legal currency, sources, pedagogy and grading fairness.
Production onboarding waits for identity, tenant-isolation, privacy and release evidence.
Small enough to govern. Real enough to measure.
The first commitment is one paid cohort with a named academic owner and agreed measures. Customer-specific scope, data terms and launch timing are written before configuration.
- Term
- 90 days
- Cohort
- One institute · one exam track · one live cohort
- Learner cap
- Up to 300 active learners
- Academic setup
- Up to 25 modules · 2 diagnostics · 4 topic tests · 2 full mocks
- Pilot fee
- ₹75,000 + applicable GST, paid before configuration
- Annual floor
- ₹3,00,000 + applicable GST for up to 500 active learners; separate signed order
- Support
- Named escalation · best effort Mon–Sat, 10:00–18:00 IST · no contractual SLA
Test the business case without inventing the baseline.
Enter the workflow numbers your academic and finance owners can defend. The model keeps faculty time value separate from attributed commercial value and starts every unknown at zero.
Use your institute's own workflow numbers.
Nothing is stored or submitted. Unknown values stay at zero. Operational time value and optional attributed margin remain separate.
Optional implementation and commercial inputs
Keep additional learners and ACIL attribution at zero unless an institute owner approves the outcome definition and attribution.
Jointly approved outcome attribution only.
Questions a serious pilot should answer before onboarding.
The useful answer is a bounded operating decision, not a broad software promise. These are the positions ACIL will carry into discovery and written scope.
- Do we have to replace our existing LMS or test platform?
- No. Keep what already works. The first pilot isolates one missing academic loop—such as content adaptation, mocks, answer review, grounded doubts or post-test intervention—and measures it with one cohort.
- Who controls what the AI publishes or grades?
- Your faculty does. AI can draft and recommend; authorised faculty reviews publication and confirms final descriptive grades. Muskan's SME cycle audits legal currency, sources, pedagogy and grading fairness.
- What content and roster data have to migrate?
- Only the approved cohort and selected launch content, after formats, ownership, volume, duplicates and data quality are inventoried. The pilot does not promise a blanket automated migration.
- Is the experience fully white-labelled from day one?
- The institute identity is designed to lead, with a small ACIL attribution. Customer-domain and production-isolation requirements remain written scope and evidence gates; they are not assumed or represented as complete before verification.
- What happens to institute and student data?
- This page does not collect a customer roster. Before onboarding, the parties must approve purpose, access, subprocessors, location, retention, deletion or export, incident handling and tenant-isolation evidence in the customer documents.
A credible pilot starts with one real workflow.
Bring the institute decision-maker and academic lead to a 20-minute fit review. We will test one cohort problem before a proposal or onboarding commitment.
Strong pilot signals
- One active judiciary or law-exam cohort with a launch or test-series window
- A founder, operations owner and named academic lead willing to participate
- One measurable workflow problem in content, mocks, review or student follow-through
- Faculty acceptance of review, publication and final-grading responsibility
Not the first commitment
- A free pilot or a broad software trial without an accountable cohort
- A native app, bespoke integration or full migration as the first commitment
- Automatic legal publishing, autonomous final grading or unlimited AI use
- Production onboarding before identity, isolation, privacy and release gates pass
Email Kapil at kapilnchauhan77@gmail.com to request a 20-minute fit review. If there is a credible fit, Kapil will reply from this inbox with two or three 20-minute IST options. There is no public booking link. No self-serve institute or student onboarding begins from this page.
Explore the student entry