International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1720148

1720148 Vol 10 · Issue 1 Download Paper

Artificial Intelligence in Law and Legal Research: Capability, Practice, And The Limits of Delegation

Abhinav Biswal

Subject area: Arts, Social Sciences and Humanities  ·  Area of research: Law

Abstract

Every profession that trades in information eventually has to reckon with a machine that reads faster than its practitioners. Law is having that reckoning now. For a discipline built on precedent, citation and the patient accumulation of authority, the arrival of large language models capable of drafting a memorandum, summarising a five-hundred-page case file, or translating a judgment into Odia in seconds is not a minor efficiency gain. It is a change in the unit of labour itself. This report takes stock of where that change actually stands in mid-2026 — not the speculative version of AI-in-law that circulated a few years ago, but the version now sitting inside law firms, legal research platforms, and, notably, the Indian judiciary itself.

How to cite this paper

Abhinav Biswal "Artificial Intelligence in Law and Legal Research: Capability, Practice, And The Limits of Delegation" Iconic Research And Engineering Journals Volume 10 Issue 1 2026 Page 4204-4207
Abhinav Biswal "Artificial Intelligence in Law and Legal Research: Capability, Practice, And The Limits of Delegation" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026
Abhinav Biswal (2026). Artificial Intelligence in Law and Legal Research: Capability, Practice, And The Limits of Delegation. Iconic Research And Engineering Journals, 10(1).
Abhinav Biswal "Artificial Intelligence in Law and Legal Research: Capability, Practice, And The Limits of Delegation" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026.
@article{1720148,
      author = {Abhinav Biswal},
      title = {Artificial Intelligence in Law and Legal Research: Capability, Practice, And The Limits of Delegation},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {1},
      pages = {4204-4207},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1720148.pdf},
      abstract = {Every profession that trades in information eventually has to reckon with a machine that reads faster than its practitioners. Law is having that reckoning now. For a discipline built on precedent, citation and the patient accumulation of authority, the arrival of large language models capable of drafting a memorandum, summarising a five-hundred-page case file, or translating a judgment into Odia in seconds is not a minor efficiency gain. It is a change in the unit of labour itself. This report takes stock of where that change actually stands in mid-2026 — not the speculative version of AI-in-law that circulated a few years ago, but the version now sitting inside law firms, legal research platforms, and, notably, the Indian judiciary itself.},
      month = {July},
  }