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AI Drafter

Generate professional replies to Show Cause Notices, assessment orders, audit objections, and other legal communications using TaxTMI's AI Drafter.

Step 1 – Issue Identification & Review

The AI analyses your query, notice, order, or uploaded documents and identifies the key issues involved.

• Review the issues identified by the AI
• Add, edit, remove, or refine issues as required


Step 2 – Draft Generation

Once you approve the issues, the AI performs issue-wise legal research and prepares a structured draft response.

• Relevant statutory provisions
• Judicial precedents and Supreme Court, High Court and other citations
• Issue-wise legal analysis
• Practical arguments and supporting content
• Professionally structured draft ready for further review.

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Policy for Sharing Data for the Purpose of Research / Analysis

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....nd disclosure data that are mandated by the regulators in a downloadable format. It was also advised that, apart from the data made available free of cost, data which is chargeable should be appropriately identified as such in the public domain. 2. SEBI has a data sharing policy to share anonymised data that is not publicly available. However, since SEBI is not the originator of most of the market data, the scope of sharing data under the extant data sharing policy of SEBI was deliberated by the SEBI Market Data Advisory Committee (MDAC). One of the issues discussed by MDAC was the authenticity and adequacy of data, together with data privacy. It was suggested that the stakeholders need to be able to source the requisite data from the orig....

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....individual/ entity directly or indirectly), would be made available on the portals and MIIs would provide a reasonable amount of data requested by a researcher free of cost (upto 2 GB of data per researcher per year that requires no extra computation). However, if the requested data is very high in volume and/ or needs further processing/ value addition, MIIs may charge a cost-basis fee from the researcher to process and provide such data. 3.2. Data in the second basket will contain information that cannot be shared with the public. These data would include, for instance, KYC information / trade logs / holding details of an entity/ individual, etc. with the identity of the entity/ individual. This would also include anonymised data that co....

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....rcular is being issued in exercise of powers conferred under Section 11(1) of the Securities and Exchange Board of India Act, 1992, to protect the interests of investors in securities and to promote the development of, and to regulate, the securities market. 10. This Circular is available at www.sebi.gov.in under the link "Legal ---Circulars". Yours faithfully, Prabhas Kumar Rath Chief General Manager Department of Economic and Policy Analysis Tel No. 022-26449772 E-mail: [email protected] Annexure I A few examples of type of data for each of the two baskets are as mentioned below: 1. First Basket The examples of data which is publicly available on respective website of each MIIs are: i. Business growth in all segments, Bhav....