AI Training for Legal | Review contracts, compare clauses and track regulation with guardrails
Contract review, clause comparison and regulatory tracking with guardrails. Designed and delivered by CA Dhaval Kodilkar.
Clients include Larsen & Toubro, Safaricom, Bajaj Finserv, Indian Oil, Galderma, Abbott, Lanxess, Bajaj Finance, VE Commercial Vehicles (Eicher), UPL, Marico, WPP Media, IndusInd Bank, KPMG, Income Tax Appellate Tribunal (ITAT), NPCI, Mayfair Insurance, Copy Cat Group, Ramco Group, HCG Group, Clutterbot.
AI training for legal teams teaches in-house counsel, contract managers and company secretarial teams to use AI for first-pass contract review, clause comparison, playbook checks and regulatory tracking. The programme stresses confidentiality, verification of every legal reference and lawyer sign-off, so AI speeds up work without replacing legal judgement.
Built for your team.
- In-house counsel
- Contract managers
- Company secretaries and compliance teams
- Legal operations
- General counsel
- Group size
- 5 to 30 participants per cohort
- Prior knowledge
- None needed
Where the time goes today.
- Routine contracts such as NDAs and vendor agreements queue for weeks.
- Clause positions vary because the playbook is not applied consistently.
- Regulatory updates from many regulators are tracked manually.
- Board and committee minutes take long to draft and check.
- Teams are unsure which AI tools are safe for confidential documents.
5 modules, each with a hands-on lab.
- Module 1
AI for legal work: confidentiality and verification
Set rules for tools, data and sign-off, and spot AI errors in legal text.
Lab: Identify fabricated citations in an AI-drafted legal note.
- Module 2
First-pass contract review
Review contracts against a playbook and list deviations.
Lab: Review a vendor agreement against a sample playbook.
- Module 3
Clause comparison and redlining
Compare versions and summarise changes for business teams.
Lab: Compare two drafts and write a change summary.
- Module 4
Regulatory tracking
Summarise new regulations and map them to internal obligations.
Lab: Build an obligations register from a recent circular.
- Module 5
Corporate secretarial work
Draft minutes, resolutions and compliance calendars.
Lab: Draft board minutes from meeting notes.
What Legal teams automate first.
| Workflow | Typical tool |
|---|---|
| First-pass review of NDAs and vendor contracts against a playbook |  ClaudeClaude |
| Compare contract versions and summarise changes |  Microsoft CopilotMicrosoft Copilot |
| Summarise new regulations and circulars with sources |  PerplexityPerplexity |
| Build an obligations register from regulations |  ExcelExcel with Copilot |
| Draft board minutes and resolutions |  ChatGPTChatGPT |
| Answer questions from the contract repository |  NotebookLM (Gemini Notebook)NotebookLM |
| Create plain-English summaries of contracts for business teams | ClaudeClaude |
- Claude
- Microsoft Copilot
- ChatGPT
- Perplexity
- NotebookLM (Gemini Notebook)
- Excel
Choose the depth that fits.
| Format | Duration | Group size | Outcome | Typical deliverables |
|---|---|---|---|---|
| Executive briefing | 90 minutes to 2 hours | 4 to 25 | Shared understanding and priorities | Pre-read, oversight or priority list |
| Half-day workshop | 3 to 4 hours | Up to 40 | Core skills and 3 to 5 use cases | Prompt library, use case list |
| 1-day workshop | 6 to 7 hours | Up to 40 | Hands-on labs and 5 to 10 use cases | Prompt library, templates, 30/60/90-day plan |
| 2-day programme | 2 days | Up to 35 | Deeper labs, team-specific workflows | Templates, workflow designs, adoption plan |
| Multi-sprint programme | 4 to 8 weeks | Up to 30 | Use cases built and tested on live work | Working use cases, measured results |
| Train-the-trainer | 2 to 3 days | 6 to 15 | Internal champions who can run sessions | Trainer kit, slides, lab files |
Recent sessions.
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What your team keeps.
- 5 to 10 implementable use cases mapped to your workflows
- A prompt library for your team's tasks
- Workflow templates and checklists
- A one-page AI usage policy
- A 30/60/90-day implementation plan with owners
- Post-training Q&A support
AI training for Legal: common questions.
Get a Legal AI training proposal.
- Response within 1 business day
- Details used only to reply, never shared
- Trusted by teams at Larsen & Toubro, Safaricom, Bajaj Finserv