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Topic · Artificial Intelligence

Law, AI, and Intellectual Property

Law, AI, and Intellectual Property is a research topic within Artificial Intelligence. Science Explorer counts 11k research works in it since 1950. 10.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the intersection of cyberbiosecurity, artificial intelligence, and legal implications, focusing on regulatory challenges, ethical issues, and innovation policy. It discusses the emerging discipline of cyberbiosecurity to safeguard the bioeconomy, the impact of AI technology on patent law, and the digitalization of legal fields. The papers also address copyright protection for AI-generated works and the role of technology in biological disaster management.

  • Cyberbiosecurity
  • Artificial Intelligence
  • Legal Implications
  • Biological Engineering
  • Patent Law
  • Digitalization
  • Copyright
  • Regulatory Challenges
  • Ethical Issues
  • Innovation Policy
Research works
11k
fractional, since 1950
In the world top 10%
1.2k
per year above
Top-10% rate
10.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+130%
the tick is no change

Which countries lead Law, AI, and Intellectual Property research?

By volume, the United States and China publish the most (728 and 382 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 728 works
  2. 2 China 382 works
  3. 3 India 360 works
  4. 4 Russia 353 works
  5. 5 Indonesia 267 works
  6. 6 United Kingdom 229 works
  7. 7 Germany 123 works
  8. 8 Italy 112 works
  9. 9 Ukraine 97 works
  10. 10 Spain 95 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 26.5%China: 13.9%India: 13.1%Russia: 12.8%6 others listed: 33.6%27%largest
United States728 · 26.5%China382 · 13.9%India360 · 13.1%Russia353 · 12.8%6 others listed922 · 33.6%

Shares of the rows listed above, not of the whole node.

Which institutions lead Law, AI, and Intellectual Property research?

By volume in 2022–2025, Kutafin Moscow State Law University publishes the most Law, AI, and Intellectual Property research, followed by Tashkent State University of Law and Design Intelligence (United States).

By volume, 2022–2025

  1. 1 Kutafin Moscow State Law UniversityRussia 50 works
  2. 2 Tashkent State University of LawUzbekistan 43 works
  3. 3 Design Intelligence (United States)United States 22 works
  4. 4 Human Growth FoundationUnited States 21 works
  5. 5 Weatherford CollegeUnited States 20 works
  6. 6 Peoples' Friendship University of RussiaRussia 20 works
  7. 7 University of AmsterdamNetherlands 17 works
  8. 8 University of OxfordUnited Kingdom 16 works
  9. 9 College of LawLatvia 12 works
  10. 10 University of California, BerkeleyUnited States 12 works

Where is Law, AI, and Intellectual Property research done?

The largest centres of Law, AI, and Intellectual Property research in 2022–2025 are Moscow (Russia), Beijing (China), London (United Kingdom) and New York (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Norman and Tashkent.

Largest cities, 2022–2025

  1. 1 Moscow Russia 184 works
  2. 2 Beijing China 79 works
  3. 3 London United Kingdom 71 works
  4. 4 New York United States 67 works
  5. 5 Tashkent Uzbekistan 51 works
  6. 6 Washington D.C. United States 50 works
  7. 7 Jakarta Indonesia 47 works
  8. 8 Kyiv Ukraine 38 works
  9. 9 Shanghai China 35 works
  10. 10 Sydney Australia 34 works

Where it is the local speciality

  1. NormanUS · 23.1 works16×
  2. TashkentUZ · 51.5 works9.2×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Law, AI, and Intellectual Property than the world average.

See Law, AI, and Intellectual Property on the map

Where is the best place to study Law, AI, and Intellectual Property?

Among universities, judged by research, Leiden University, Tashkent State University of Law and O. P. Jindal Global University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%60%mean 21.64%fractional works in this node (log) →share in the world top 10% →Leiden University: 9, 49.7%Tashkent State University of Law: 42, 14.2%O. P. Jindal Global University: 11, 27.0%Kutafin Moscow State Law University: 50, 6.6%Tilburg University: 12, 27.5%Universitat Pompeu Fabra: 9, 26.0%Stockholm University: 11, 26.3%Peoples' Friendship University of Russia: 20, 10.2%College of Law: 12, 4.1%University of Oxford: 16, 24.8%Leiden UniversityO. P. Jindal Global …Tashkent State Unive…Kutafin Moscow State…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Leiden UniversityNetherlands 63.949.7%6.0×9 +365.0%
2 Tashkent State University of LawUzbekistan 58.714.2%104.2×42 —
3 O. P. Jindal Global UniversityIndia 56.627.0%28.9×11 —
4 Kutafin Moscow State Law UniversityRussia 55.26.6%128.2×50 —
5 Tilburg UniversityNetherlands 55.027.5%17.4×12 +9.9%
6 Universitat Pompeu FabraSpain 53.226.0%13.7×9 —
7 Stockholm UniversitySweden 52.826.3%8.2×11 +81.0%
8 Peoples' Friendship University of RussiaRussia 49.810.2%14.3×20 —
9 College of LawLatvia 47.24.1%59.4×12 +43.6%
10 University of OxfordUnited Kingdom 46.424.8%3.0×16 +230.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Law, AI, and Intellectual Property research growing?

Output in 2018–2022 was 130% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Law, AI, and Intellectual Property.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.