Vakilat

Product Introduction

1. Definition: Vakilat is an advanced legal AI research assistant and legal tech platform explicitly engineered for Indian advocates, litigators, and legal chambers. Classified under Legal AI and Deterministic Legal Research Software, the system integrates natural language processing with automated verification layers to analyze case files and retrieve case law without generative hallucinations.

2. Core Value Proposition: Vakilat exists to eliminate the hallucination risks associated with generic large language models (LLMs) in legal practice. By anchoring every synthesized argument to verified Supreme Court of India precedents from 1950 onward, and providing exact paragraph-level citations and statutory crosswalks between legacy laws (IPC, CrPC, Evidence Act) and new criminal codes (BNS, BNSS, BSA), Vakilat empowers 2M+ Indian lawyers to conduct deterministic, courtroom-ready legal research efficiently.

Main Features

1. Deterministic Citation Verification & Paragraph-Level Linking: Vakilat utilizes a hybrid architecture combining semantic search, keyword matching, and deterministic code-based verification rules. Instead of relying solely on an AI model to verify its own output, independent code checks every cited statement against stored judicial texts. Users can click any citation to open the Supreme Court judgment precisely at the referenced paragraph.

2. Statutory Crosswalks (Old to New Criminal Laws): The platform features a complete directory mapping 2,299 statutory provisions across criminal laws. It links the Indian Penal Code (IPC), Code of Criminal Procedure (CrPC), and Indian Evidence Act (IEA) to their respective Bharatiya Nyaya Sanhita (BNS), Bharatiya Nagarik Suraksha Sanhita (BNSS), and Bharatiya Sakshya Adhiniyam (BSA) counterparts, factoring in offence dates and procedural trial stages to determine the applicable regime automatically.

3. Multi-Agent Deep Research & Document Contextualization: Users can upload up to five documents (such as complaints, bail applications, or orders) which the system reads strictly as factual context rather than governing law. Separate AI agents handle statute mapping, supporting authorities, and adverse case analysis concurrently, ensuring comprehensive research runs before generating citation reports.

Problems Solved

1. Pain Point: Legal practitioners frequently encounter "hallucinated" citations, non-existent case laws, and incorrect paragraph references when using general-purpose AI tools like ChatGPT. Additionally, navigating the transition period between legacy criminal codes (IPC/CrPC) and new statutes (BNS/BNSS) creates immense manual research overhead and citation risks.

2. Target Audience: Independent advocates, Supreme Court and High Court litigators, law firm associates, and legal chamber practitioners operating within the Indian judicial system.

3. Use Cases: Drafting court petitions, preparing anticipatory bail applications under Section 438 CrPC / Section 482 BNSS, verifying Supreme Court precedents prior to filing, cross-referencing offence sections during criminal trials, and analyzing case facts against established jurisprudence.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):

   • Pros: Zero-hallucination workflow utilizing code-checked citation matching; direct paragraph links to Supreme Court judgments (1950–2026); comprehensive 2,299-provision statutory crosswalk for new criminal codes; strict data privacy compliance with zero AI model training on user documents and sovereign Indian data residency.
   • Cons: Coverage is currently restricted primarily to the Supreme Court of India, with High Court databases slated for future releases; language support starts strictly in English before rolling out regional Indian languages like Hindi, Marathi, Tamil, and Bengali.

2. Key Alternatives & Differentiation:

   • Vakilat vs. ChatGPT / General LLMs: Unlike ChatGPT, which generates plausible-sounding but frequently fabricated citations, Vakilat grounds answers exclusively in retrieved judgments using non-AI deterministic code checks and paragraph-level mapping.
   • Vakilat vs. Indian Kanoon: While Indian Kanoon provides raw open judgment searches, Vakilat delivers actionable proposition synthesis, automated citation verification, and structured litigation workflows tailored for court briefs.
   • Vakilat vs. SCC Online / Manupatra: Traditional legal databases rely heavily on editorial summaries or expansive search queries requiring manual filtering; Vakilat uses multi-agent AI research combined with strict quotation-matching verification to surface exact ratios and paragraph links instantly at a significantly lower total cost of ownership.

Frequently Asked Questions (FAQ)

1. How does Vakilat prevent AI hallucinations in legal research? Vakilat prevents hallucinations by separating generation from verification. While AI agents draft research answers based on retrieved Supreme Court judgments, independent deterministic code checks every cited statement and quotation word-for-word against the stored source text. If a statement fails verification, it is explicitly flagged for human review.

2. Can Vakilat handle the transition between IPC and the new BNS criminal laws? Yes. Vakilat includes a statutory crosswalk covering all 2,299 provisions between the old laws (IPC, CrPC, Evidence Act) and the new codes (BNS, BNSS, BSA). By inputting the date of the alleged offence and the current procedural stage, the platform determines which legal regime applies and maps the appropriate sections.

3. Are uploaded client documents used to train AI models? No. Documents uploaded to Vakilat are used exclusively to provide factual context for the active research run. They remain securely within the user's practice account, comply with Section 126 of the Evidence Act and Section 132 of the BSA, and are never used to train underlying AI models.

4. What courts and historical periods does Vakilat cover? Vakilat currently covers judgments from the Supreme Court of India spanning from 1950 onward. High Court databases and regional Indian languages (such as Hindi, Marathi, and Tamil) are scheduled for progressive rollout following rigorous testing.

5. How are Vakilat subscription plans priced? Vakilat offers a free tier with five initial research runs and unlimited judgment reading. Paid plans start at ₹799 + GST per seat per month (Advocate plan) scaling up to Chambers tiers, offering monthly allotments of standard and deep research runs along with dedicated document storage.