Introduction To Artificial Intelligence
Artificial intelligence refers to the capability of machines to execute tasks that usually necessitate human brainpower.
Artificial intelligence includes processes like learning, logical reasoning, pattern recognition, problem solving, and decision-making.
It has emerged as one of the most transformative technologies since it can process a lot of data quickly and enhance decision-making.
History And Evolution Of AI
However, the concept of AI is not relatively new.
It goes back to the second half of the 20th century when scientists first explored the potential for using computers to mimic human brain functions.
AI has evolved from simplistic rulebased machines to sophisticated technologies that utilize deep learning, natural language processing, and machine learning.
AI In Everyday Life
Artificial intelligence has already been integrated into many aspects of people’s lives.
Every time a person uses voice commands to instruct a virtual assistant, conducts an internet search, browses through personalized content on social networks, interacts with chatbots, uses navigational software, or has his face recognized by any other system, he deals with artificial intelligence directly or indirectly.
- Voice commands to virtual assistants
- Internet search engines
- Personalized social media content
- Chatbots and automated responses
- Navigation and mapping software
- Facial recognition systems
Applications Of AI In Commercial Sector
Artificial intelligence applications in the commercial sector are equally diverse.
In healthcare, businesses can benefit from AI-powered diagnostics, radiology, and drug development.
Meanwhile, it can also prove useful in personalized learning and research in transportation.
| Sector | AI Applications |
|---|---|
| Healthcare | Diagnostics, Radiology, Drug Development |
| Education | Personalized Learning, Research |
| Transportation | Navigation, Smart Systems |
Use Of AI In Legal Field
Artificial intelligence is seen to revolutionise the practice of law. Law firms can experience the advantages of adopting the use of AI in improving their productivity, enhancing their services, and providing better results to their clients.
Yet, they will face certain difficulties in the course of implementing this technology. One of the primary concerns of the law firms lies in the prevalence of the billable hour business model, which accounts for a major part of their revenues. It is obvious that the widespread use of artificial intelligence may increase the productivity level of lawyers, which, in turn, will decrease their profits from working under the billable hour business model.
In today’s world, the wrongful use of AI technology presents a lot of issues because the said technology could be used in destructive ways when placed in the wrong hands.
Risks And Misuse Of AI
- Misinformation And Deepfake Content: One of these problems is the proliferation of misinformation and deepfake content, wherein an AI would create false images, videos, or audio recordings for the purpose of deceiving, maligning, and manipulating people or their views.
- Cybercrime: Misuse of AI technology is also present in cybercrime, which includes phishing, hacking, identity theft, or fraudulent transactions done through online platforms.
- Bias And Discrimination: Misuse of AI technology also involves issues regarding bias because, if the data sets used in an AI system are not representative of reality, then the results generated by such a system will also be biased and could lead to discriminatory practices when hiring, in loan applications, or even in criminal procedures.
- Privacy Concerns: Issues regarding privacy have also been raised because the use of AI technology makes possible the collection, manipulation, and abuse of private data.
- Overreliance On AI: Lastly, there is the problem of overreliance on machine-generated outputs.
Key Legal And Ethical Challenges
| Issue | Description |
|---|---|
| Bias And Discrimination | Since AI is trained using biased data, it may have an impact on its fairness in matters such as hiring and loans. |
| Privacy And Protection Of Data | In AI applications, data is always involved, and privacy concerns exist since data is not always used responsibly. |
| Liability And Accountability | If an AI application fails and results in negative effects, it may be difficult to determine who is responsible for it. |
| Opacity | Most AI programs are opaque and do not reveal how they came up with certain conclusions or recommendations. |
| Issues Surrounding Intellectual Property Rights | The output generated by AI poses intellectual property rights problems regarding ownership and copyright of content. |
Legal Provisions In India
There are no AI-specific regulations or statutes in Indian law, and any issues related to AI technology are regulated with the help of old laws on digital and data technologies. Thus, issues such as privacy, cyberfraud, intermediary liability, deepfakes, and illegal content online are addressed using general legislation.
As Indian legislation on AI technology is still developing, the use of policy documents and governance guidelines becomes an important step towards future regulation.
Relevant Laws
- Information Technology Act, 2000: It serves as the main digital law regulating the misuse of artificial intelligence technology, for instance, the crimes of impersonation and identity theft. Relevant provisions include Sections 66C, 66D, and 79.
- Digital Personal Data Protection Act, 2023: This act regulates issues concerning the usage of artificial intelligence technology in the collection and processing of personal data.
- Information Technology Rules, 2021: Issues regarding the deployment of artificial intelligence by intermediaries are regulated through these rules.
Practical Application Of Laws For AI
- Deepfake And Other Synthetic Media: The use of cyber and criminal laws to combat identity deception, fraud, obscenity, and any other form of offensive material made possible by AI.
- Data Protection And Privacy: AI tools should comply with personal data regulations when dealing with users’ personal data.
- Consumer Protection: AI goods and services can be liable under consumer laws when they deceive or harm the consumer in any manner.
- Intellectual Property Law: Issues relating to copyright law can crop up in case of training on copyrighted material using AI.
International Development Of Artificial Intelligence
The growth of artificial intelligence is occurring extremely rapidly all over the world, and different countries are utilising AI in their own ways, such as conducting business activities, treating diseases and illnesses, learning processes in schools, farming techniques, transport systems and governance issues.
The global progress in terms of AI is evidence that the technology in question is becoming global and its development no longer involves just the wealthiest countries on the planet.
Leading Countries In AI Development
Such countries as the USA, China, South Korea, Switzerland, Singapore, Canada and India can be considered major stakeholders in the development of AI technology through the means of research, investments, innovations by companies, patents and applications of AI into everyday life processes in those countries.
- Research and technological innovation
- Heavy investments in AI infrastructure
- Corporate-led AI advancements
- Patent development and intellectual property growth
- Integration of AI in daily life applications
Applications Of AI In Global Development
AI technology has already started addressing various challenges faced by humanity around the globe through such means as helping people diagnose diseases properly, aiding farmers with decisions about crops, improving the efficiency of school programmes and helping out governmental agencies.
- Accurate disease diagnosis and healthcare support
- Smart agriculture and crop decision-making
- Enhanced efficiency in education systems
- Administrative and governance assistance
The use of artificial intelligence technology has already commenced in solving some problems confronting humanity worldwide by means such as assisting humans to diagnose disease accurately, guiding farmers on crop production, increasing efficiency in schools’ curriculum programmes, and assisting government institutions.
Challenges In Global AI Adoption
However, not all countries are equally developing AI due to disparities in their availability to resources, energy, computing power and expertise.
Nevertheless, some nations have not developed their AI because of unequal resource access.
| Challenge | Description |
|---|---|
| Resource Availability | Limited financial and infrastructural support |
| Energy Constraints | High power requirements for AI systems |
| Computing Power | Lack of advanced hardware and cloud infrastructure |
| Expertise Gap | Shortage of skilled AI professionals |
Case Study: AI And Judicial Systems In India
Punjab & Haryana High Court AI Guidelines
Punjab & Haryana High Court: On April 6, 2026, the Registrar General sent an official letter strictly advising all judicial officers against the use of any AI software such as ChatGPT, Gemini, or Copilot for the purposes of writing judgements or legal research.
Gujarat High Court AI Policy 2026
Gujarat High Court: Their AI policy in 2026 states that “AI can be used to expedite delivery of justice through automation (such as scheduling) but never to substitute for judicial reasoning, granting bail, or sentencing.”
Kerala High Court AI Regulation
Kerala High Court was one of the first in July 2025 to mandate that only AI approved by the court (such as SUVAS and SUPACE) be used, and at that, all citations made have to be manually checked.
AI And Criminal Bail: Case Analysis
AI and Criminal Bail: State of Punjab v. [Confidential] (2025): A trial judge used ChatGPT to grasp the “global perspective of bail in a murder case that involves cruelty.”
High Court Intervention On AI Usage
Intervening High Court: The High Court ruled that a trial judge could use AI to understand legal concepts; however, he/she cannot employ AI for resolving facts of a particular case.
This is because the training datasets in AI have a “tendency towards the western view of law, which does not conform to the social realities of India.
Suggestions: Key Legal Risk Areas in AI
Most useful suggestion: Structure your paper based on the main areas of risk: privacy, bias, liability, transparency, and intellectual property.
Main Areas of Risk in AI Systems
| Risk Area | Description |
|---|---|
| Privacy and Consent | Lawful data collection, consent, and misuse of private information |
| Bias and Discrimination | AI reproducing biases from training data in critical sectors |
| Liability and Accountability | Responsibility for incorrect AI decisions or errors |
| Transparency and Explainability | Challenges in explaining AI decision-making systems |
| Intellectual Property | Rights related to AI-generated content |
Privacy and Consent for Data Collection
Since many AI algorithms use big data, issues such as lawful data collection, consent, and the misuse of private information come into play.
Bias and Discrimination
Another potential issue arises when an AI system reproduces any biases from the training data when employed in activities like hiring, lending, or policing.
Liability and Accountability
There is the question of who bears the responsibility when the AI system provides incorrect recommendations or advice or makes mistakes.
Transparency and Explainability
It can be difficult to argue that a “black box” system is legally permissible if the decisions must be explainable.
Intellectual Property
Issues relating to intellectual property rights arise regarding the creation, distribution, and utilisation of AI-generated content.
Conclusion: Legal Implications of AI
AI has revolutionised the legal domain with its ability to conduct research quickly, enhance document reviews, and help lawyers manage volumes of information.
This technology has the potential of saving money and time while increasing access to legal representation for more clients. Nevertheless, these capabilities present significant legal issues that must be acknowledged.
Bias in AI Systems
The first problem is associated with bias. If an AI program learns from biased information, it will produce a corresponding output.
Transparency Challenges
Transparency is another crucial issue because a lot of AI technologies operate in a black-box fashion. The problem arises in particular contexts such as recruitment, policing, and judicial decision-making assistance.
Accountability Concerns
Furthermore, there is the matter of accountability. In case the AI system takes an inappropriate decision that might be deemed harmful, it is often complicated to decide who was the one responsible for this mistake: the creator of the program, its user, or the firm utilising it.
Privacy and Data Security
In addition, AI technologies raise many questions regarding privacy and data security, since they require vast amounts of personal data.
Need for Legal Regulation
Thus, in order to properly use such tools within the field of law, the legislation has to catch up with modern technologies. The government needs to introduce certain laws and regulations concerning AI usage, data protection, responsibility, and ethical standards.
Importance of Human Supervision
Human supervision will still be crucial, particularly in issues related to human rights and freedom of choice.
Final Takeaway
- AI should be treated as a supportive tool
- Not a replacement for human judgment
This way, the actual conclusion to be drawn here is the fact that AI technologies must be treated as helpful tools for attorneys, rather than a replacement of human judgment.
Written By:
- Kirti Sharma – BBALLB, GGSIPU
- Ishaan Garg – BBALLB, GGSIPU
