AILET 2026 Question Paper PDF (OUT) with Solutions: Download Here

AILET 2026 Question Paper PDF (OUT) with Solutions: Download Here

Ritika JonwalUpdated on 14 Dec 2025, 09:12 PM IST

The National Law University, Delhi, has successfully conducted the AILET 2026 exam. The official answer key for the AILET 2026 Exam is out. Check the link for the AILET 2026 Official Answer Key below. The AILET UG 2026 Question Paper with Solution serves as an essential resource for aspirants aiming to understand the AILET Exam Pattern, question types, and overall difficulty level of the test. By reviewing the AILET UG 2026 Question Paper PDF, candidates can clearly analyse the distribution of questions across sections, identify important topics, and recognise recurring concepts.

This Story also Contains

  1. AILET UG 2026 Question Paper With Solution- Free PDF
  2. How To Download The AILET UG 2026 Question Paper- Free PDF
  3. AILET UG 2026 Overall Exam Analysis
  4. AILET UG 2026 Section-wise Exam Analysis
  5. AILET UG 2026 Exam Pattern
  6. AILET UG 2026 Section-wise Questions with Detailed Solutions
AILET 2026 Question Paper PDF (OUT) with Solutions: Download Here
AILET 2026 Question Paper PDF Out

Whether you appeared for the exam or are preparing for upcoming attempts, this detailed question paper analysis helps you strengthen your AILET Preparation strategy and boost your chances of scoring higher in AILET 2026.

AILET UG 2026 Question Paper With Solution- Free PDF

Along with the paper, we will also release the AILET 2026 Answer Key prepared by our experts to help you calculate your expected score before NLU Delhi uploads the provisional key. The AILET UG 2026 Question paper with Answer Key and Detailed solutions is given below-

AILET UG 2026 Answer Key with Solutions

Download Here

How To Download The AILET UG 2026 Question Paper- Free PDF

Careers360, which provides complete question papers and solutions for various competitive exams, including the AILET exam, is where you can download the AILET UG 2026 question paper with answers. To obtain the AILET Previous Years Question Papers, follow the steps given below:

  • In the tables below, click the link to download the AILET question paper.

  • The AILET Question Paper with Answer Key PDF would then be accessed on the Careers360 portal.

  • Users who have registered should use their email address and password to log in.

  • It will be necessary for new users to register first.

  • Click the download button after logging in.

  • The user's registered email address will receive the AILET Question Paper and Answer Key.

AILET UG 2026 Overall Exam Analysis

This AILET 2026 Exam Analysis helps aspirants understand how the exam was structured, which sections were most challenging, and what type of questions dominated the paper. The overall analysis of the AILET 2026 exam is provided below to help students prepare for the AILET Exam:

Parameter

Details

Number of Questions

150

Difficulty Level

Easy - Moderate

Good Score

90+

Average Score

40+

Below Average Score

30

AILET UG 2026 Section-wise Exam Analysis

To learn more about the exam's general difficulty level, the topics included in the AILET exam, and more, students are advised to go through the table below.

Section

Good Attempts

Difficulty Level

English

40+

Moderate

General Knowledge and Current Affairs

20-22

Moderate

Logical reasoning

24

Easy to Moderate

Overall

90+

Easy - Moderate

AILET UG 2026 Exam Pattern

The AILET Exam Pattern 2026 will have 150 multiple-choice questions (MCQs) on the AILET exam, each worth one mark. A negative mark of 0.25 is also applied for each incorrect response on the exam.

Subjects

No. of Questions

Maximum Marks

Time Allotted

English Language

50

50



2 Hours

Logical Reasoning

70

70

Current Affairs & GK

30

30

Total Marks

150 Marks

AILET UG 2026 Section-wise Questions with Detailed Solutions

Passage

1. Read the given passage and answer the following questions by choosing the most appropriate response.

The integration of Artificial Intelligence |A| into law enforcement practices has sparked a global debate on ethics, privacy, and accountability. From facial recognition systems in public spaces to predictive policing algorithms, AI is transforming how crimes are detected and prevented. However, the benefits of efficiency and data-driven decision-making are accompanied by concerns about fairmess, bias, and the potential erosion of civil liberties. One of the most controversial applications is predictive policing, which uses historical crime data to forecast where crimes are likely to occur or who might commit them. Proponents argue that this allows police to allocate resources more efficiently and reduce crime rates. However, critics warn that such systems may reinforce existing societal binses. If past data reflect biased policing practices, such as over-policing in marginalized communities, then the algorithm may perpetuate these injustices by disproportionately targeting the same areas or groups. Facial Recognition Technology (FRT) is another Al-driven tool that has gained traction. While it has proven useful in identifying suspects, it raises serious concerns regarding surveillance and individual privacy. Studies have also shown that FRT is less accurate in identifying people of colour and women, increasing the risk of false accusations and wrongful detentions. The lack of transparency in how these systems operate further complicates the ethical landscape. Many AI tools used in law enforcement are developed by private companies that treat their algorithms as proprietary, meaning that even law enforcement officers may not fully understand how decisions are made by these AI tools. This is often referred to as the 'Black Box' problem. This opaqueness undermines accountability, making it diffeult to challenge wrongful predictions or decisions in a court of law. As Al continues to evolve, lawmakers and civil rights advocates are calling for stronger regulations to ensure that these technologies are used responsibly. Proposals include mandatory auditing of algorithms, public disclosure of data sources, and legal safeguards to protect against discrimination. Without such measures, the unchecked use of AI could lead to a justice system that prioritizes efficiency over equity, ultimately compromising democratic values and rule of law. While At holds the promise of revolutionizing law enforcement, its application must be guided by ethical frameworks that prioritize human rights, transparency. and fairness. Otherwise, technology intended to protect society may end up harming the very individuals it seeks to serve.

1. What is the central concern raised in the passage regarding AI in law enforcement?

a) Replacing human officers

b) High operational costs

c) Reinforcing bias and reducing fairness

d) inability to anulyze real-time data

Correct Answer: (c) Reinforcing bias and reducing fairness

Explanation:

The passage repeatedly highlights concerns about:

  • Fairness

  • Bias

  • Erosion of civil liberties

  • Reinforcement of existing societal and historical biases

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Predictive policing and facial recognition are criticized mainly because they may perpetuate injustice, especially against marginalized communities. Hence, bias and fairness are the core concerns—not cost, officers, or real-time data.

2. Which of the following wrould best justify the use of predictive policing, denpite the ethical concerns discussed in the passage?

a) It will allow law enforcement to increase arrest quotas.

b) It helps deploy police more efficiently in high-risk areas,

c) It can eliminate the need for community engagement.

d) It will replace the need for police training programs.

Correct Answer: (b) It helps deploy police more efficiently in high-risk areas.

Explanation:

The passage clearly states:

“Proponents argue that this allows police to allocate resources more efficiently and reduce crime rates.”

This is the only positive justification acknowledged, even while ethical concerns remain.

Other options either exaggerate or contradict the passage.

3. Based on the passage, how does facial recognition technology potentially lend to injustice?

a) By exhibiting higher exour rates for apectfle demogriphic groups

b) By decreasing reliance on human judgment in policing

c) By increasing costs and limiting deployment in critical areas

d) By generating occasional misidentifications scress all populations equally

Correct Answer: (a) By exhibiting higher error rates for specific demographic groups

Explanation:

The passage says:

“Studies have shown that FRT is less accurate in identifying people of colour and women.”

This results in:

  • False accusations

  • Wrongful detentions

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Hence, injustice arises due to unequal error rates, not equal mistakes or reduced human judgment.

4. Why does the lock of transnarency in AI algorithms pose a challenge within judicial proceedings?

a) It complicates efforts to scrutinise and contest algorithm-driven outcomes

b) It leads to greater reliance on community survelliance

c) It reatricts the profensional development of law enforcement personnel

d) It discourages investment in emerging AI technologies for policing

Correct Answer: (a) It complicates efforts to scrutinize and contest algorithm-driven outcomes

Explanation:

The passage explains:

  • AI systems are often proprietary

  • Even officers may not understand how decisions are made

  • This “Black Box” nature makes it difficult to challenge decisions in court

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Thus, lack of transparency directly affects judicial scrutiny.

5. The word "opaquenees" in the paragraph refers to:

a) Clear and understandable legal processes

b) Lack of visibility or understanding

c) Openness and transparency in aystems

d) Restricted access due to security levels

The word ‘opaqueness’ in the paragraph refers to:

Correct Answer: (b) Lack of visibility or understanding

Explanation:

“Opaqueness” is used in the context of:

  • Algorithms being hard to understand

  • Decision-making processes not being visible

This aligns exactly with a lack of clarity or transparency, not openness or security restrictions.

6. Indin's first woman Chief Minister was:

a) Nandini Satpathy

b) Sucheta Kripalani

c) Janaki Ramachandran

d) Sheila Dikshit

Correct Answer: (b) Sucheta Kripalani

Explanation: Sucheta Kripalani became India’s first woman Chief Minister in 1963, serving as the Chief Minister of Uttar Pradesh. She was also a prominent freedom fighter and a member of the Constituent Assembly.

7. Match the following:

Tribe State

A Damor I Rajasthan

B Reang II Tripura

C Gaddi III Himachal Pradesh

D Sora IV Orissa

Select the most appropriate option:

a) A-I, B-III, C-II, D-IV

b) A-1, B-II, C-III, D-IV

c) A-IV, B-III, C-1, D-II

d) A-II, B-I, C-IV, D-111

Correct Answer: (a) A-I, B-II, C-III, D-IV

Explanation:

  • Damor tribe is mainly found in Rajasthan

  • Reang (Bru) tribe is primarily located in Tripura

  • Gaddi tribe inhabits Himachal Pradesh

Sora (Saora) tribe is found in Odisha (Orissa)

8. Which of the following is India's first indigenously discovered antibiotic noted for its effectiveness against resistant respiratory infections?

a) Biofungicin

b) Cephalexin-M

c) Polymyxin N

d) Nafithromycin

Correct Answer: (d) Nafithromycin

Explanation: Nafithromycin is an indigenously developed antibiotic by an Indian pharmaceutical company. It is designed to treat drug-resistant respiratory tract infections, making it a significant milestone in India’s pharmaceutical research.

9. Which of the following countries has NOT formally recognised Palestine as a state?

a) France

b) Canada

c) Australia

d) Japan

Correct Answer: (d) Japan

Explanation:
Japan has not formally recognised Palestine as a sovereign state, though it supports a two-state solution and maintains diplomatic engagement with the Palestinian Authority.

10. The India-Al lmpact Summit 2026 will be the first-ever global Al summit to be hosted in a Global South nation. Deliberations at the Summit will be organized around seven interconnected Chakras i.e, areas of multilateral cooperation designed to channel collective energy towards holistic societal transformation. Which of the following is NOT specifically noted as a chakra?

a) Resilience, Innovation and Efficiency

b) Af Governance and Regulation

c) Inclusion for Social Empowerment

d) Science

Correct Answer: (b) AI Governance and regulation

Explanation: The India-AI Impact Summit 2026 is structured around seven interconnected “chakras”, each representing a focused area of multilateral cooperation in AI. These chakras include themes such as:

  • Resilience, Innovation and Efficiency

  • Science

  • Inclusion for Social Empowerment

Other applied and policy-oriented domains linked to societal transformation

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Questions related to AILET

On Question asked by student community

Have a question related to AILET ?

Hello aspirant,

Getting 43 in CLAT can feel disappointing, but it doesn't define your ability. You still have AILET, and many students improve sharply in their second attempt. For AILET, focus more on English, logical reasoning and GK. In static GK, study important books, monuments, national parks, constitutional facts and major awards. For current affairs, revise the last 6-8 months covering national events, government schemes, appointments, sports and major international news. Make short notes and revise daily. With a clear plan and claim mind, you can perform much better in AILET.

FOR GUIDANCE : https://law.careers360.com/articles/ailet-preparation-tips

THANK YOU

Good Morning, Candidate,

It entirely depends on the university whether the admission for the BA LLB will be based on the 12th board or the national-level entrance exam, or both. The admission exams are below

1. Common Law Admission Test

2. All India Law Entrance Test

3. Symbiosis Law Admission Test

4. Common University Entrance Test

Thank you. Hope this information helps you.

You can find AILET 2026 mock tests on most major law-entrance preparation platforms, coaching institutes and test-series providers. Many of them offer free sample mocks along with full-length paid test series that follow the latest AILET pattern. You can also check previous years’ question papers, sectional tests and model papers provided by offline coaching centres, bookstores and competitive exam publishers. These resources will help you practice the new pattern, improve speed and understand the difficulty level. Try attempting at least one mock every week and gradually increase frequency as the exam approaches. Consistent practice will strengthen your accuracy and confidence before the final exam. All the best.


Hello aspirant,

AILET PG question is exclusively multiple choice questions or MCQ based . You do not need to write any paragraph based questions. The exam will have 100 MCQs, each worth one mark, covering various branches of law. There is also a negative marking of 0.25 marks for each incorrect answers.

Good luck!

hey, Having a CLAT rank of 21,000 and an SC category rank of approximately 1,000, you may get a good chance by applying to NLUs in which SC category seats remain unfilled. At this rank extend, there are routinely open positions at state NLUs or more current NLUs with reserved seats SC candidates. Focus on appying to NLUs such as NLU Jodhpur, NLU Odisha or NLU Tamil Nadu, which occasionally have vacancies in saved categories. As well, monitor the CLAT guiding entry in terms of opening overhauls and participate in spot rounds properly.