Cited by 29Artificial Intelligence in LawAI-based Problem Solving and PlanningDigitalization, Law, and Regulation

The rise and fall of the legal expert system†

Leith, Philip·2016·International Review of Law, Computers & Technology

Abstract

Those very few of us who were critical of the rise of legal expert systems in the early 1980s probably wonder, in idle moments, whether there is a possibility of rejuvenation of an approach which was once multi-various and is now obscure and esoteric. Is it possible that after rising and falling, that legal expert system research programme could rise again? What were the conditions which gave impetus to the field and could they be repeated? In this article I want to return, with a personal viewpoint, on the rise of expert systems and why - despite their failure - the appeal of commoditising legal expertise continues to allure the unwary.

Integrity signals

Registry

Crossref · 10.1080/13600869.2016.1232465

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Leith, P.
Affiliations
Queen's University Belfast (GB)
Corresponding author
Leith, Philip
Venue
International Review of Law, Computers & Technology
Published
2016-09
Volume
30
Issue
3
Pages
94-106
ISSN
  • 1360-0869 (ISSN-L)
  • 1364-6885
OpenAlex
W2546985383
Cited by
29
References
16
Citations by year
2026: 3 · 2025: 8 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 7 · 2020: 2 · 2018: 3 · 2015: 1
FWCI
5.06
Type
journal article
Language
en
Open access
closed
Locations
International Review of Law Computers & Technology (publishedVersion)
Topics
  • Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Social Sciences › Law › Digitalization, Law, and Regulation
Keywords
legal expert systems, expert systems, legal technology, legal informatics, research programs

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review