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Artificial Intelligence in Law

Artificial Intelligence in Law is a research topic within Political Science and International Relations. Science Explorer counts 8.8k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of predictive legal technology, including machine learning, natural language processing, and artificial intelligence, to forecast judicial decisions in various courts. The topics also cover the use of big data and behavior control in legal contexts, as well as the ethical implications of integrating technology into the legal profession.

  • Predictive
  • Legal Technology
  • Judicial Decisions
  • Machine Learning
  • Natural Language Processing
  • Artificial Intelligence
  • Supreme Court
  • Behavior Control
  • Big Data
  • Ethical Implications
Research works
8.8k
fractional, since 1950
In the world top 10%
878
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+103%
the tick is no change
Largest producer
United States
26% of the 10 largest, 2022-now

Which countries lead Artificial Intelligence in Law research?

By volume, the United States and India publish the most (587 and 469 works in 2022-now).

By volume, 2022-now

  1. 1 United States 587 works
  2. 2 India 469 works
  3. 3 China 382 works
  4. 4 Brazil 179 works
  5. 5 United Kingdom 152 works
  6. 6 Italy 109 works
  7. 7 Indonesia 94 works
  8. 8 Germany 93 works
  9. 9 Canada 86 works
  10. 10 France 77 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: 26.3%India: 21.1%China: 17.1%Brazil: 8.0%6 others listed: 27.4%26%largest
United States587 · 26.3%India469 · 21.1%China382 · 17.1%Brazil179 · 8.0%6 others listed611 · 27.4%

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

Which institutions lead Artificial Intelligence in Law research?

By volume in 2022-now, University of Bologna publishes the most Artificial Intelligence in Law research, followed by Design Intelligence (United States) and CHDI Foundation.

Who are the leading researchers in Artificial Intelligence in Law?

The most-cited researchers publishing on Artificial Intelligence in Law include Christopher D. Manning, Philip S. Yu and Hao Chen.

  1. 1 Christopher D. Manning United States 179k citations
  2. 2 Philip S. Yu United States 141k citations
  3. 3 Hao Chen China 118k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Artificial Intelligence in Law?

The most cited paper in Artificial Intelligence in Law is "An introduction to case-based reasoning" (Janet L. Kolodner, 1992), with 1,050 citations. Next come "Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective" (814) and "Credit card fraud detection using machine learning techniques: A comparative analysis" (628).

Most cited papers
#PaperReleasedCitations
1 An introduction to case-based reasoning Janet L. Kolodner · Artificial Intelligence Review 1992 1,050
2 Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoțiuc-Pietro et al. · PeerJ Computer Science Open access 24 Oct 2016 814
3 Credit card fraud detection using machine learning techniques: A comparative analysis John O. Awoyemi, Adebayọ Olusọla Adetunmbi, Samuel Adebayo Oluwadare Conference paper Oct 2017 628
4 ChatGPT Goes to Law School Jonathan H. Choi, Kristin E. Hickman, Amy Monahan et al. · SSRN Electronic Journal PreprintOpen access 2023 503
5 Credit Card Fraud Detection Using AdaBoost and Majority Voting Kuldeep Kaur Randhawa, Chu Kiong Loo, Manjeevan Seera et al. · IEEE Access Open access 2018 479
All 100 most cited papers, with filters and sorting

Where is Artificial Intelligence in Law research done?

The largest centres of Artificial Intelligence in Law research in 2022-now are Beijing (China), New York (United States), Chennai (India) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Norman and Bologna.

Largest cities, 2022-now

  1. 1 BeijingChina 89 works
  2. 2 New YorkUnited States 46 works
  3. 3 ChennaiIndia 43 works
  4. 4 MoscowRussia 40 works
  5. 5 LondonUnited Kingdom 37 works
  6. 6 BengaluruIndia 30 works
  7. 7 PuneIndia 30 works
  8. 8 ShanghaiChina 29 works
  9. 9 New DelhiIndia 28 works
  10. 10 Washington D.C.United States 26 works

Where it is the local speciality

  1. NormanUS · 20.2 works18×
  2. BolognaIT · 20.0 works5.7×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Artificial Intelligence in Law than the world average.

See Artificial Intelligence in Law on the map

Where is the best place to study Artificial Intelligence in Law?

Among universities, judged by research, University of Bologna, Tsinghua University and Amrita Vishwa Vidyapeetham 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%10%20%mean 11.7%fractional works in this field (log) →share of work in the world top 10% →Tsinghua UniversityStanford UniversityAmrita Vishwa Vidyap…University of Bologna
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of BolognaItaly 78.910.5%7.9×20 +110.0%
2Tsinghua UniversityChina 65.722.0%1.8×12 +294.1%
3Amrita Vishwa VidyapeethamIndia 53.311.1%8.4×13 +1031.7%
4Stanford UniversityUnited States 53.318.8%2.2×10 +50.9%
5Leiden UniversityNetherlands 49.712.5%5.6×9 +257.1%
6University of LuxembourgLuxembourg 49.18.6%11.8×8 +23.4%
7Amity UniversityIndia 49.05.6%10.7×14 -
8University of TorontoCanada 45.76.8%1.9×11 +21.4%
9Saveetha UniversityIndia 44.07.5%5.0×14 -
10UNSW SydneyAustralia 43.613.6%3.9×10 -6.0%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Artificial Intelligence in Law, country by country

Is Artificial Intelligence in Law research growing?

Output in 2022-2025 was 103% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Artificial Intelligence in Law.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Artificial Intelligence in Law as a percentage of every work published that year, 0.015% in 2024.

still counting0.010%0.020%Artificial Intelligence in Law0.019% in 202519801990200020102020

Fractional works of Artificial Intelligence in Law over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Artificial Intelligence in Law10.1% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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