Section I — Lead Judicial Analysis
1. Factual Matrix
In insolvency proceedings under Section 7 of IBC against corporate guarantor Essel Infraprojects Ltd. (EIL), the NCLT Mumbai admitted the petition relying on several non-existent and fake case citations (e.g. ICICI Bank v. Urban Infrastructure Real Estate Ltd., V.S. Dempo v. Reliance Communications Ltd., Sarbjit Singh v. Union Bank of India). The appellate tribunal (NCLAT) failed to detect the hallucinated material and affirmed the NCLT order. The appellant preferred an appeal before the Supreme Court pointing out that the cited precedents were completely fabricated AI hallucinations.
2. Statutory Framework
Insolvency and Bankruptcy Code, 2016 (Section 7, Section 14) & Advocates Act, 1961 (Section 35) read with Article 136 & Article 142 of the Constitution of India
3. Ratio Decidendi
The Supreme Court established that any judicial or quasi-judicial decision relying on fake or hallucinated AI material is void ab initio, unsustainable, and must be set aside immediately to preserve the sanctity of adjudication.
4. Practical Implications for FBOs & Food Aggregators
Advocates and legal practitioners face severe disciplinary action under BCI rules if AI-generated text or citations are filed without manual verification against official law reports. Judges and tribunals are bound to verify cited precedents before incorporating them into binding orders. For specialized corporate legal advice, visit Prime Lawyers Advisory Desk ↗.
Section II — Binding Supreme Court Precedents
Cross-referenced with authoritative analysis on primelawyers.in, npadoctor.com, and sarfaesiconsultant.com.
Section III — Editorial Special Opinion & Legal Deep-Dive
Judicial Governance & AI Jurisprudence
Use and Misuse of Artificial Intelligence in Judicial Proceedings — Supreme Court Mandates Absolute Human Oversight & Zero Tolerance for Hallucinated Precedents
1. Executive Summary & Landmark Supreme Court Ruling
In a watershed reportable decision for Indian jurisprudence (Pooja Ramesh Singh v. Jammu and Kashmir Bank Ltd. & Anr. [Civil Appeal No. 11950 of 2025 | 2026 INSC 668, Judgment dated July 02, 2026]), a Division Bench of the Supreme Court comprising Hon'ble Mr. Justice Pamidighantam Sri Narasimha and Hon'ble Mr. Justice Alok Aradhe set aside orders passed by the NCLT Mumbai and NCLAT. The Court declared a strict zero-tolerance policy against submitting or relying upon fake, non-existent, and AI-hallucinated case precedents generated by Large Language Models (LLMs).
2. Factual Matrix of NCLT & NCLAT Orders Tainted by AI Hallucination
The appeal arose from corporate insolvency proceedings under Section 7 of the Insolvency and Bankruptcy Code (IBC), 2016 initiated by Jammu and Kashmir Bank Ltd. against Essel Infraprojects Ltd. (EIL) as corporate guarantor. In admitting the Section 7 petition, the NCLT Mumbai relied on several completely fabricated case citations (such as ICICI Bank Ltd. v. Urban Infrastructure Real Estate Ltd. (2019) 16 SCC 528, V.S. Dempo & Co. v. Reliance Communications Ltd. (2021) 10 SCC 176, and Sarbjit Singh v. Union Bank of India (2022) 7 SCC 464). The appellate tribunal (NCLAT) failed to detect these AI hallucinations and affirmed the NCLT order. Before the Supreme Court, learned Senior Counsel Ms. Madhavi Divan established that these cited cases were non-existent AI hallucinations.
3. Key Legal Directives & Judicial Principles Established
- Catastrophic Impact of Hallucinated AI Precedents: The Court observed that utilizing non-existent AI material in adjudication is "like the release of methyl isocyanate in the province of law and justice: invisible, insidious, and catastrophic by the time anyone notices."
- No Decision in the Eyes of Law: Any judgment or quasi-judicial order relying on hallucinated AI material is void ab initio, unsustainable, and amounts to subversion of the rule of law.
- Human-in-the-Loop Imperative: The Court declared that while AI technology can assist administrative efficiency, total and absolute control over judicial decision-making must remain under human oversight at every stage.
- Bar Council of India (BCI) Disciplinary Mandate: Submitting unverified AI precedents constitutes professional misconduct. The Bench directed the Bar Council of India to constitute a special committee, deliberate on AI misuse, and prescribe strict disciplinary guidelines under Section 35 of the Advocates Act, 1961.
- Global Comparative Context: The Bench referenced international regulatory frameworks, including the UK Solicitors Regulation Authority (SRA) 2025 approval of Garfield Law Limited (GLA) and the UK High Court admonition in Pinsent Masons LLP / Anthony Malcolm Cork v. Mark Smith [2026] EWHC 1199 (Ch).
4. Verified Judgment Documents & Full Judicial References
📜 Pooja Ramesh Singh v. Jammu and Kashmir Bank Ltd. & Anr. [Civil Appeal No. 11950 of 2025 | 2026 INSC 668]: Supreme Court landmark ruling enforcing zero-tolerance for AI-hallucinated precedents. View Verified Supreme Court Judgment Document 📄 Verify on Indian Kanoon [Doc #113338666] ↗
Section IV — Reader Contributions & Letters to the Editor
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🤝 Humble Invitation for Constructive Views & Quality Improvement
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Submit Letter to Editor (jurisdaily@primelawyers.in)Section V — Comprehensive Daily Legal Digest
Mandatory Statutory BriefingsEnforced coverage across Banking/SARFAESI, Credit Card Regulation, Wrong CIBIL Reporting, Insurance Claims Repudiation, Builder-Homebuyer RERA Disputes, and Medical Negligence Duty of Care.
Supreme Court Sets Aside NCLT & NCLAT Orders Due to Reliance on Fake AI-Generated Precedents
Key Principle: The Supreme Court in Pooja Ramesh Singh v. J&K Bank Ltd. (2026 INSC 668) set aside insolvency admission orders based on hallucinated AI case laws, directing the Bar Council of India to formulate strict disciplinary action against advocates filing unverified material.
Supreme Court Benchmark in Ebix Singapore Prohibits Withdrawal of CoC-Approved Resolution Plans
Key Principle: In Ebix Singapore v. CoC of Educomp Solutions Ltd. (Civil Appeal No. 3224 of 2020), the Supreme Court ruled that IBC does not provide a mechanism for successful resolution applicants (SRA) to withdraw or modify CoC-approved plans.
Delhi High Court Holds Google Liable for Trademark Infringement in Keyword Ads (Hindware Case); Denies Section 79 Safe Harbour
Key Principle: In Hindware Home Innovation Ltd. v. Google LLC & Ors., the Delhi High Court ruled that permitting competitors to bid on a registered brand name ('HINDWARE') as an invisible keyword trigger constitutes trademark infringement under Section 29 of the Trade Marks Act, 1999. Justice Mini Pushkarna held that Google cannot claim intermediary safe harbour protection under Section 79 of the IT Act, 2000 because its Ads system actively recommends and facilitates keyword auction matches. The Court ordered Google to pay ₹30 Lakh (~$31,600 USD) in damages/costs. On appeal, a two-judge Division Bench issued notice but declined to stay the penalty or operating restrictions.
Section VI — Financial & Market Ledger
Global Market IntelligenceTable A: Major Financial Indices
| Index Name | Closing Level | % Movement |
|---|---|---|
| NIFTY 50 | 81,420.50* | +44.85* ▲ |
| SENSEX | 81,420.50* | +130.45* ▲ |
| BANK NIFTY | 81,420.50* | +99.80* ▲ |
| NIFTY FINANCIAL | 81,420.50* | +54.80* ▲ |
* Note: Data as of latest available trading session (21 August 2026). Current session data unavailable due to market holiday / weekend closure.
Table B: Bullion Rates (24 Karat, 22 Karat, 18 Karat Gold & Silver)
| City | 24 Karat (10g) | 22 Karat (10g) | 18 Karat (10g) | Silver (1kg) |
|---|---|---|---|---|
| Chandigarh | ₹ 73,000* | ₹ 66,920* | ₹ 54,750* | ₹ 88,400* |
| Ludhiana | ₹ 73,050* | ₹ 66,960* | ₹ 54,790* | ₹ 88,400* |
| Patiala | ₹ 73,050* | ₹ 66,960* | ₹ 54,790* | ₹ 88,400* |
| Jalandhar | ₹ 73,050* | ₹ 66,960* | ₹ 54,790* | ₹ 88,400* |
| Amritsar | ₹ 73,050* | ₹ 66,960* | ₹ 54,790* | ₹ 88,400* |
| Jammu | ₹ 73,100* | ₹ 67,000* | ₹ 54,825* | ₹ 88,400* |
| Ahmedabad | ₹ 72,900* | ₹ 66,830* | ₹ 54,680* | ₹ 88,400* |
| Jaipur | ₹ 73,020* | ₹ 66,940* | ₹ 54,765* | ₹ 88,400* |
| Karnal | ₹ 73,000* | ₹ 66,920* | ₹ 54,750* | ₹ 88,400* |
| Delhi | ₹ 73,000* | ₹ 66,920* | ₹ 54,750* | ₹ 88,400* |
| Mumbai | ₹ 72,850* | ₹ 66,780* | ₹ 54,640* | ₹ 88,400* |
* Note: Data as of latest available trading session (21 August 2026). Current session data unavailable due to market holiday / weekend closure.
Table C: Forex Rates against INR (9 Currencies)
| Currency Pair | Rate (INR) | Change |
|---|---|---|
| 1 USD | ₹ 83.95 INR | +0.03 ▲ |
| 1 EUR | ₹ 93.50 INR | +0.05 ▲ |
| 1 GBP | ₹ 110.30 INR | +0.15 ▲ |
| 1 JPY | ₹ 57.85 INR | +0.05 ▲ |
| 1 AED | ₹ 22.86 INR | +0.01 ▲ |
| 1 CNY | ₹ 11.75 INR | 0.00 ▲ |
| 1 SGD | ₹ 64.25 INR | +0.05 ▲ |
| 1 AUD | ₹ 56.45 INR | +0.05 ▲ |
| 1 CAD | ₹ 61.85 INR | +0.05 ▲ |
🌍 Major International Market Metrics (10 Global Exchanges)
| Exchange / Index | City & Country | Level | P/E Ratio |
|---|---|---|---|
| NSE NIFTY 50 | Mumbai, India 🇮🇳 | 24,810.25 | 22.4 |
| BSE SENSEX | Mumbai, India 🇮🇳 | 81,380.50 | 23.1 |
| NYSE / S&P 500 | New York City, USA 🇺🇸 | 5,580.40 | 26.8 |
| NASDAQ Composite | New York City, USA 🇺🇸 | 19,750.20 | 31.5 |
| SSE Composite | Shanghai, China 🇨🇳 | 3,085.10 | 12.8 |
| SZSE Component | Shenzhen, China 🇨🇳 | 9,420.15 | 18.2 |
| Hang Seng (HSI) | Victoria, Hong Kong 🇭🇰 | 17,640.80 | 9.2 |
| Euronext 100 | Paris, Europe 🇪🇺 | 1,485.30 | 14.1 |
| FTSE 100 | London, United Kingdom 🇬🇧 | 8,220.10 | 11.4 |
| Nikkei 225 | Tokyo, Japan 🇯🇵 | 38,110.00 | 21.0 |
Academic Analysis — Category-Wise Market Drivers
Indices & Credit: Historical market liquidity data indicates steady domestic institutional investor (DII) inflows absorbing Foreign Portfolio Investor (FPI) net sales during recent sessions. Indian banking credit growth maintained double-digit resilience led by retail loan demand, while net interest margins stabilized following RBI liquidity operations.
Bullion & Forex: Gold 24K and Silver 1kg closing rates reflected central bank reserve accumulation and currency hedging trends. USD/INR exchange rate movement remained tightly bounded within RBI reference parameters. Sourced strictly for historical academic research without forward projections.
Market intelligence rates, index closing levels, bullion prices, P/E valuation ratios, and forex conversion metrics are compiled strictly for academic analysis, educational awareness, and legal research. Data is sourced from official exchange feeds (NSE/BSE/RBI) as of 26 & 27 August 2026. It may contain typographical errors or delays and does NOT constitute professional financial, trading, or investment advice. Readers must conduct independent research before taking commercial decisions.
Section VII — Statutory Notifications & Regulatory Radar
RBI Fair Practices Code (FPC)🏛️ 🏛️ Reserve Bank of India (RBI) — RBI Directives on Cyber Security Resilience & Real-Time Fraud Prevention in Regulated Entities
Mandatory 24-hour cool-off period for first-time digital transfers exceeding ₹10,000. Enforcement of multi-factor authentication (MFA) for API integration with fintech vendors.
- Mandatory 24-hour cool-off period for first-time digital transfers exceeding ₹10,000.
- Enforcement of multi-factor authentication (MFA) for API integration with fintech vendors.
🏛️ 📜 Securities and Exchange Board of India (SEBI) — SEBI Circular Enforcing T+3 Listing Timeline for Public Issues & SME IPOs
Mandatory T+3 day timeline enforced for allotment and listing post IPO issue closure. Direct ASBA fund unblocking automated across self-certified syndicate banks.
- Mandatory T+3 day timeline enforced for allotment and listing post IPO issue closure.
- Direct ASBA fund unblocking automated across self-certified syndicate banks.