Toll free1800 1020 418Fees & syllabus ↗APPLIED AI · LIVE ONLINE · FOUR-WEEK PROGRAM
Turn a fictional data room into a source-linked diligence register, checked red-flag report and deal-team handover.
Ideal for: M&A lawyers, corporate transaction associates, in-house acquisition teams and legal due-diligence professionals.
Entry requirement: Experience reading corporate records and commercial agreements. No coding required.
Two 90-minute live sessions weekly. Fees, dates and tool access confirmed before enrolment.
WHO THIS PROGRAM IS FOR
M&A lawyers, corporate transaction associates, in-house acquisition teams and legal due-diligence professionals.
You will produce: Data-room index, request list and extraction test log → Source-linked diligence matrix and follow-up questions → Red-flag report and proposed action register → Final diligence pack, verification log and client summary.
Scope: Indian private-company acquisition exercises. Financial valuation, tax opinions and foreign-law advice are outside this program.
SAMPLE SYLLABUS EXERCISE
Illustrative fictional example; not legal advice.
Assignment needs consent; the supplied index contains no consent record.
Record consent as not found in the supplied pack, request it and verify the clause before raising a deal action.
Keep the document reference and exact wording beside every finding. Mark missing evidence as missing.
PROGRAM SYLLABUS · FOUR WEEKS
Two 90-minute live sessions per week, eight sessions and 12 live hours total.
Three hours of independent practice per week, 12 additional hours total. Extra review sessions are separate.
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Data-room index, request list and extraction test log
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Source-linked diligence matrix and follow-up questions
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Red-flag report and proposed action register
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Final diligence pack, verification log and client summary
PRACTICAL PROJECTS
Data-room index, request list and extraction test log. Use fictional records, retain source references and hand over unresolved questions.
Source-linked diligence matrix and follow-up questions. Use fictional records, retain source references and hand over unresolved questions.
Final diligence pack, verification log and client summary. Use fictional records, retain source references and hand over unresolved questions.
ASSESSMENT & TAKEAWAYS
Source accuracy 25% · issue detection 25% · fit to instructions 20% · reasoned next steps 20% · handover clarity 10%.
Final work uses a fresh fictional matter with planted errors. Correct fabricated references, unsupported conclusions and unmarked assumptions before completion. Track omissions and correction effort alongside time.
Keep your extraction instructions, matrices, review notes and verification checklist as a reusable practice pack.
APPLIED AI TOOL STACK
(A task-based mix will be selected for the cohort; every listed platform is not covered. Hands-on access, demonstrations and extra subscription costs are confirmed before enrolment.)
Document classification, cited extraction, comparison and red-flag drafting. Use approved accounts and fictional material; check extraction quality and source references.
Editable review notes, matrices and handover documents. Verify legal propositions against current official materials and suitable research databases. Participants confirm their software access.
Enterprise legal AI may be compared or demonstrated only when access is secured. No enterprise subscription, integration or vendor affiliation is promised.
FACULTY & YOUR COHORT
The faculty profile combines relevant legal-practice experience with hands-on AI use for this program’s document work. Teaching centres on legal judgment, live demonstrations, source checking and feedback on participant submissions.
Trainer names are not published on this page. Request the faculty background and session details when discussing your cohort. Teams may enquire about a separately scoped workshop.
COURSE FAQs
Designed for M&A lawyers, corporate transaction associates, in-house acquisition teams and legal due-diligence professionals. Experience reading corporate records and commercial agreements. No coding is required.
Four weeks, with two 90-minute live sessions each week: eight sessions and 12 live training hours. Allow 12 additional hours of independent practice. Any extra review session is scheduled separately and excluded from live training hours.
No. It focuses on legal document diligence. Financial modelling, valuation and tax opinions are outside the syllabus.
Yes. Exercises use fictional document packs. Client documents are not required. Workplace use requires approved tools, permissions and confidentiality controls.
A task-based mix of Claude or ChatGPT, Word, Excel and legal research platforms is selected for each cohort. Hands-on access, any trainer-only demonstrations and additional subscription costs are confirmed before enrolment. Enterprise licences are not promised.
Indian private-company acquisition exercises. Financial valuation, tax opinions and foreign-law advice are outside this program. Research tasks use dated official references and lawyer checking; AI text is not an authority.
The faculty profile combines relevant legal-practice experience with applied AI workflows and feedback on legal work. Trainer names are not displayed; request the faculty background, fees, tool access and cohort schedule before enrolment.
Submit Final diligence pack, verification log and client summary. Assessment covers source accuracy, issue detection, fit to instructions, reasoned next steps and handover clarity. Invented wording, invented authorities and unmarked assumptions must be corrected. Completion is based on assessed work; no bar credit or legal qualification is promised.
Curriculum version 1.0 · 3 November 2026. Legal references and tool access are checked for the cohort.
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