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Track D · Law (LegalTech)

AI in Law (LegalTech)

AI literacy for LL.B. and law students at Indian universities — contract analysis with LLMs, e-discovery, legal research, regulatory scanning, AI in litigation. NEP-aligned discipline module.

Track D · D3

The module you would run on your campus

Law students complete this module as part of the Track D layer of their existing degree, after the Universal Literacy module (D1).

What AI means in Law

3 capabilities the module produces.

  • Contract analysis with LLMs

    Spellbook, Harvey, Luminance — clause review, risk flags, and the verification protocol that catches hallucinated output before it leaves the desk.

  • AI-augmented legal research

    SCC Online AI, Manupatra AI, Lexis+ AI — case-law retrieval with mandatory citation verification (the Mata v. Avianca discipline).

  • Regulatory scanning pipelines

    Automate monitoring of RBI, SEBI, MeitY, and sectoral notifications for corporate compliance functions.

The module

AI in Law

D3

AI in Law

Sem 5–63 credits

Skill outcomes

  • Conduct contract analysis and clause extraction using LLMs
  • Run e-discovery and document review with AI tools
  • Perform legal research using LLM-augmented case retrieval
  • Build regulatory scanning workflows for compliance updates

Prerequisites: D1

Updated 2026-04

Industry context

Indian law firms and corporate legal departments are mid-shift on AI adoption — but the hallucination problem has already cost real lawyers their licences. Graduates who can use AI for leverage and catch its failures meaningfully differentiate in placement.

Student outcomes

  • Accelerate contract review with rigorous citation verification
  • Run an e-discovery exercise with AI-assisted document classification
  • Build a regulatory-change monitoring pipeline for a corporate compliance function
  • Articulate ethical, evidentiary, and disclosure considerations under DPDP and the EU AI Act

Run this on your campus

Law students get the same Skill Score as every other Kompas student. Discipline-relevant. Cohort-comparable.