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- Alternate Dispute Resolution
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- Book Review
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- Commercial Litigation
- Competition Law
- Conference Reports
- Consumer Products
- Contract
- Corporate Governance
- Corporate Law
- Covid-19
- Cryptocurrency
- Cybersecurity
- Data Protection
- Defence
- Digital Economy
- E-commerce
- Employment Law
- Energy and Natural Resources
- Entertainment and Sports Law
- Environmental Law
- FDI
- Food and Beverage
- Health Care
- IBC Diaries
- Insurance Law
- Intellectual Property
- International Law
- Know the Law
- Labour Laws
- Litigation
- Litigation Funding
- Manufacturing
- Mergers & Acquisitions
- NFTs
- Privacy
- Private Equity
- Project Finance
- Real Estate
- Risk and Compliance
- Technology Media and Telecom
- Tributes
- Zoom In
- Take On Board
- In Focus
- Law & Policy and Regulation
- IP & Tech Era
- Viewpoint
- Arbitration & Mediation
- Tax
- Student Corner
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- ESG
- Gaming
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- Law Firms
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Shipra Alisha Philip
Shipra Alisha Philip is an IP Attorney and Strategic Counsel with over 7 years of extensive experience in the Intellectual Property Protection, Management and Enforcement and Technology laws. Her practice spans a wide array of industries, advising Indian and global clients from Fortune 500 companies to startups and MSMEs, on the acquisition, protection, monetization, and enforcement of IP rights including trademarks, copyright, and designs. She has in-depth expertise in Handling global trademark portfolios, litigation, opposition, and prosecution, including successfully representing clients before the Indian Trademarks Office in contentious matters; Advising and handling domain name, data protection, intermediary liabilities, and advertisement law related disputes; IP clearance and due diligence, commercial contracts, and negotiations. In recognition of her industry leadership and expertise, Shipra was honoured as one of the Top 25 Emerging Women in IP at the IP and Legal Confex in Dubai in 2023.

From Shipra Alisha Philip
When Machines Violate IP: The Legal Dilemma Of AI
When Machines Violate IP: The Legal Dilemma Of AI AI-generated works, trained on extensive datasets, risk infringing existing copyrighted material by mimicking or replicating original works ...