Abstract
The first issue of Artificial Intelligence and Law journal was published in 1992. This paper discusses several topics that relate more naturally to groups of papers than a single paper published in the journal: ontologies, reasoning about evidence, the various contributions of Douglas Walton, and the practical application of the techniques of AI and Law.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Notes
See Sect. 9 of Sartor et al. (2022), elsewhere in this issue, for a discussion of different approaches to representing Popov v Hayashi.
I’ve also tried to stimulate practitioner involvement in the biannual AI and Law conferences.
“Today’s commercial practice system tools - well evolved from the modest beginnings of document assembly yet only suggestive of what artificial intelligence ought to be able to deliver - provide a kind of Jacquard loom upon which to weave some of the fabric of lawyering. Perhaps these tools can inspire more intelligent systems in the same way that loom inspired computer pioneer Charles Babbage.” Thirty years later, my impression is that we’ve indeed seen plenty of inspiration, but not nearly enough positive impact yet on how law is practiced, in large part due to artisanal intransigence.
One of the most successful practical developments was Mead and Johnston’s Softlaw. There were ICAIL papers, Johnson and Mead (1991) and Dayal et al. (1993), but never anything in the journal, perhaps because it had already become commercial before the journal was launched. Softlaw became Ruleburst before being taken over by Oracle and now exists as Oracle Policy Automation (https://community.oracle.com/tech/apps-infra/discussion/4107512/opa-product-history-question). This is an example of how, once commercial, systems drop off the academic scene.
A prime example is Medvedeva et al. (2020) (discussed in Sect. 6 of Villata et al. (2022), elsewhere in this issue). Limitations of this approach are widely discussed from a variety of perspectives, technical, philosophical and legal: e.g. Bench-Capon (2020), Bex and Prakken (2021) Steging et al. (2021), Bibal et al. (2021) and Medvedeva et al. (2022). Its very compatibility with the rule of law is questioned in Suksi (2021).
The idea dates back at least to Kowalski and Sergot (1985) but remains current in papers such as Kowalski and Datoo (2021) and Shein (2021). There was also a recent workshop on Programming Languages and the Law 2022, https://popl22.sigplan.org/home/prolala-2022.
References
Alexy R (1989) A Theory of Legal Argumentation. Clarendon Press. (1st edition in German 1978)
Åqvist L (2007) An interpretation of probability in the law of evidence based on pro-et-contra argumentation. Artif Intell Law 15(4):391–410
Ashley KD (2009) Teaching a process model of legal argument with hypotheticals. Artif Intell Law 17(4):321–370
Ashley KD, Baron JR, Conrad JG (eds.) (2010) Artificial Intelligence and Law: Special Issue on Special issue: e-Discovery, 18:4
Atkinson K, Bench-Capon T (2021) Argumentation schemes in AI and Law. Arg Comput 12(3):417–434
Atkinson K, Bench-Capon T, McBurney P (2006) PARMENIDES: facilitating deliberation in democracies. Artif Intell Law 14(4):261–275
Atkinson K, Bench-Capon T, Bex F, Gordon TF, Prakken H, Sartor G, Verheij B (2020) In memoriam Douglas N. Walton: the influence of Doug Walton on AI and Law. Artif Intell Law 28(3):281–326
Barclay CA (2020) Is hybrid formal theory of arguments, stories and criminal evidence well suited for negative causation? Artif Intell Law 28(3):361–384
Bench-Capon T (2016) Special issue in memory of Carole Hafner: editor’s introduction. Artif Intell Law 24(4):325–345
Bench-Capon T (2017) HYPO’s legacy: introduction to the virtual special issue. Artif Intell Law 25(2):205–250
Bench-Capon T (2020) The need for Good Old Fashioned AI and Law. In: Hötzendorfer W, Tschohl C, Kummer F (eds) International trends in legal informatics: a Festschrift for Erich Schweighofer. Weblaw, Bern, pp 23–36
Berners-Lee T, Hendler J, Lassila O (2001) The Semantic Web. Sci Am 284(5):34–43
Bex F (2009) Evidence for a good story: a hybrid theory of arguments, stories and criminal evidence. In: PhD thesis, University of Groningen, Groningen, The Netherlands
Bex F (2011) Arguments, stories and criminal evidence: a formal hybrid theory. Springer, Berlin
Bex F, Prakken H (2021) On the relevance of algorithmic decision predictors for judicial decision making. In: Proceedings of the 18th International Conference on Artificial Intelligence and Law, pages 175–179
Bex F, Verheij B (2013) Legal stories and the process of proof. Artif Intell Law 21(3):253–278
Bex F, Prakken H, Reed C, Walton D (2003) Towards a formal account of reasoning about evidence: argumentation schemes and generalisations. Artif Intell Law 11(2):125–165
Bex F, Van Koppen P, Prakken H, Verheij B (2010) A hybrid formal theory of arguments, stories and criminal evidence. Artif Intell Law 18(2):123–152
Bex F, Prakken H, van Engers T, Verheij B (eds.) (2017) Artificial Intelligence and Law: Special Issue on Artificial Intelligence for Justice (AI4J), 25:1
Bibal A, Lognoul M, De Streel A, Frénay B (2021) Legal requirements on explainability in machine learning. Artif Intell Law 29(2):149–169
Bizer C, Heath T, Berners-Lee T (2011) Linked data: The story so far. In: Semantic services, interoperability and web applications: emerging concepts, pages 205–227. IGI global
Breuker J, Hoekstra R (2004) Epistemology and ontology in core ontologies: FOLaw and LRI-Core, two core ontologies for law. In: Gangemi Aldo, Borgo Stefano (eds.), Core Ontologies in Ontology Engineering 2004, volume 118 of CEUR Workshop Proceedings, pages 1–13
Breuker J, Valente A, Winkels R, et al (1997) Legal ontologies: a functional view. In: Procseedings of 1st LegOnt Workshop on Legal Ontologies, pages 23–36
Casellas N (2011) Legal ontology engineering: methodologies, modelling trends, and the ontology of professional judicial knowledge. Springer Science & Business Media, Berlin
Dayal S, Harmer M, Johnson P, Mead D (1993) Beyond knowledge representation: commercial uses for legal knowledge bases. In: Proceedings of the 4th International Conference on Artificial intelligence and law, pages 167–174
de Oliveira Rodrigues C, de Freitas FLG, Barreiros EFS, de Azevedo RR, de Almeida Filho AT (2019) Legal ontologies over time: a systematic mapping study. Exp Syst Appl 130:12–30
di Bello M, Verheij B (eds.) (2020) Artificial Intelligence and Law: Special Issue on Evidence and decision making in the law, 28:1
Dung PM (1995) On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artif Intell 77(2):321–357
Emilia B, John Z (2005) Developing negotiation decision support systems that support mediators: a case study of the Famil\(\underline{\,}\)Winner system. Artif Intell Law 13(2):233–271
Fenton N, Neil M, Hsu A (2014) Calculating and understanding the value of any type of match evidence when there are potential testing errors. Artif Intell Law 22(1):1–28
Fernández-Barrera M, Sartor G (2011) The legal theory perspective: doctrinal conceptual systems vs. computational ontologies. In: Approaches to legal ontologies, pages 15–47. Springer
Gangemi A, Presutti V (2009) Ontology design patterns. In: Handbook on ontologies, pages 221–243. Springer
Gangemi A, Guarino N, Masolo C, Oltramari A, Schneider L (2002) Sweetening ontologies with DOLCE. In: International Conference on Knowledge Engineering and Knowledge Management, pages 166–181. Springer
Gangemi A, Sagri M, Tiscornia D (2005) A constructive framework for legal ontologies. In: Law and the semantic web, pages 97–124. Springer
Gruber TR (1991) The role of common ontology in achieving sharable, reusable knowledge bases. In: Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR’91), pages 601–602
Hafner CD, Rissland EL (2002) Editors’ introduction: special issue in memory of Donald H. Berman. Artif Intell Law 10(1–3):3
Harbidge M, Catchpole M (1993) Technology report: pharos: business adviser. Artif Intell Law 2(1):69–81
Hart Herbert LA (1994) The Concept of Law. Oxford University Press, 2nd edition, (1st ed. 1961)
Hokkanen J, Lauritsen M (2002) Knowledge tools for legal knowledge tool makers. Artif Intell Law 10(4):295–302
Johnson P, Mead D (1991) Legislative knowledge base systems for public administration: some practical issues. In: Proceedings of the 3rd International Conference on Artificial Intelligence and Law, pages 108–117
Jøsang A, Bondi VA (2000) Legal reasoning with subjective logic. Artif Intell Law 8(4):289–315
Kadane JB, Schum DA (2011) A probabilistic analysis of the Sacco and Vanzetti evidence. John Wiley & Sons
Kennedy Dennis M, Lauritsen M, Oskamp A (eds.) (2002) Artificial Intelligence and Law: Special Issue on Practical Use of AI in Law, 10:4
Keppens J (2012) Argument diagram extraction from evidential bayesian networks. Artif Intell Law 20(2):109–143
Keppens J, Zeleznikow J (2003) A model based reasoning approach for generating plausible crime scenarios from evidence. In: Proceedings of the 9th International Conference on Artificial Intelligence and Law, pages 51–59
Kowalski R, Datoo A (2021) Logical English meets legal English for swaps and derivatives. Artif Intell Law, pages 1–35
Kowalski Robert A, Sergot Marek J (1985) Computer representation of the law. In: Proceedings of IJCAI 1985, pages 1269–1270
Lauritsen M (1992) Technology report: building legal practice systems with today’s commercial authoring tools. Artif Intell Law 1(1):87–102
Lauritsen M (1995) Technology report: work product retrieval systems in today’s law offices. Artif Intell Law 3(4):287–304
Leone V, Di Caro L, Villata S (2020) Taking stock of legal ontologies: a feature-based comparative analysis. Artif Intell Law 28(2):207–235
Lodder Arno R, Zeleznikow J (eds.) (2005) Artificial Intelligence and Law: Special Issue onOn-Line Dispute Resolution, 13:2
Lutomski Leonard S (1989) The design of an attorney’s statistical consultant. In: Proceedings of the 2nd International Conference on Artificial Intelligence and Law, pages 224–233
MacCormick N (1978) Legal reasoning and legal theory. Clarendon, Oxford
Macneel RE (1995) Technology report: intelligent summoner. Artif Intell Law 3(4):277–285
Martino A, Nissan E (eds.) (2001) Artificial Intelligence and Law: Special Issue on Formal Approaches to Legal Evidence, 9:2–3
McCarty LT (1989) A language for legal discourse I. basic features. In: Proceedings of the 2nd International Conference on Artificial Intelligence and Law, pages 180–189
McCarty LT (1997) Some arguments about legal arguments. In: Proceedings of the 6th International Conference on Artificial Intelligence and Law, pages 215–224
Medvedeva M, Vols M, Wieling M (2020) Using machine learning to predict decisions of the European Court of Human Rights. Artif Intell Law 28(2):237–266
Medvedeva M, Wieling M, Vols M (2022) Rethinking the field of automatic prediction of court decisions. Artif Intell Law, pages 1–18
Miller GA (1995) Wordnet: a lexical database for English. Commun ACM 38(11):39–41
Oriola TA (2010) The use of legal software by non-lawyers and the perils of unauthorised practice of law charges in the United States: a review of Jayson Reynoso decision. Artif Intell Law 18(3):285–309
Oskamp A, Lauritsen M (2002) AI in law practice? so far, not much. Artif Intell Law 10(4):227
Oskamp A, Tragter MW (1997) Automated legal decision systems in practice: the mirror of reality. Artif Intell Law 5(4):291–322
Pennington N, Hastie R (1993) Reasoning in explanation-based decision making. Cognition 49(1–2):123–163
Peters W, Sagri Maria T, Tiscornia D, Castagnoli S (2006) The LOIS project. In: Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Peters W, Sagri M, Tiscornia D (2007) The structuring of legal knowledge in LOIS. Artif Intell Law 15(2):117–135
Pollock JL (1987) Defeasible reasoning. Cognit Sci 11(4):481–518
Prakken H (1997) Logical Tools for Modelling Legal Argument. a Study of Defeasible Reasoning in Law. Springer Science Business Media, Dordrech
Prakken H (2020) A new use case for argumentation support tools: supporting discussions of Bayesian analyses of complex criminal cases. Artif Intell Law 28(1):27–49
Prakken H, Sartor G (2007) Formalising arguments about the burden of persuasion. In: Proceedings of the 11th International Conference on Artificial Intelligence and Law, pages 97–106
Reed C, Rowe G (2004) Araucaria: software for argument analysis, diagramming and representation. Int J Artif Intell Tools 13(04):961–979
Sartor G, Karl BL (eds.) (1998) Artificial Intelligence and Law: Special Issue on Judicial applications of Artificial Intelligence, 6:2-4
Sartor G, Araszkiewicz M, Atkinson K, Bench-Capon T, Bex F, van Engers T, Francesconi E, Prakken H, Sileno G (2022) Thirty years of AI and Law: The second decade. Artif Intell Law, 30(4)
Shein E (2021) Converting laws to programs. Commun ACM 65(1):15–16
Shimony SE, Nissan E (2001) Kappa calculus and evidential strength: a note on åqvist’s logical theory of legal evidence. Artif Intell Law 9(2):153–163
Soper P, Bench-Capon T (1993) Coupling hypertext and knowledge based systems: two applications in the legal domain. Artif Intell Law 2(4):293–314
Stamper R (1991) The role of semantics in legal expert systems and legal reasoning. Ratio Juris 4:219
Stamper R (1996) Signs, information, norms and systems. In: Holmqvist B, Andersenamd Heinz Klein PB, Posner R (eds) Signs of work. de Gruyter, Berlin, pp 349–397
Steging C, Renooij S, Verheij B (2021) Discovering the rationale of decisions: towards a method for aligning learning and reasoning. In: Proceedings of the 18th International Conference on Artificial Intelligence and Law, pages 235–239
Suksi M (2021) Administrative due process when using automated decision-making in public administration: some notes from a finnish perspective. Artif Intell Law 29(1):87–110
Susskind R (1993) The importance of commercial case studies in artificial intelligence and law. Artif Intell Law 2(1):65–67
Taal A, Sherer JA, Bent KA, Fedeles ER (2016) Cognitive computing and proposed approaches to conceptual organization of case law knowledge bases: a proposed model for information preparation, indexing, and analysis. Artif Intell Law 24(4):347–370
Timmer ST, Meyer JC, Prakken H, Renooij S, Verheij B (2017) A two-phase method for extracting explanatory arguments from bayesian networks. Int J Approx Reasoning 80:475–494
Unwin C (2008) An object model for use in oral and written advocacy. Artif Intell Law 16(4):389–402
Valente A (1995) Legal knowledge engineering: a modelling approach. In: IOS Press
Van den Braak Susan W (2010) Sensemaking software for crime analysis. In: PhD thesis, University Utrecht
van Engers Tom M, McIntosh Ann (eds.) (2006) Artificial Intelligence and Law: Special Issue on AI and Law in eGovernment and eDemocracy PART I, 14:4
van Kralingen R (1995) Frame-based conceptual models of statute law. Kluwer Law International, Netherlands
van Kralingen R(1997) A conceptual frame-based ontology for the law. In: Proceedings of the 1st LegOnt Workshop on legal ontologies, pages 15–22
van Leeuwen L, Verheij B (2019) A comparison of two hybrid methods for analyzing evidential reasoning. In: Proceedings of JURIX 2019, pages 53–62
Verheij B (2017) Proof with and without probabilities. Artif Intell Law 25(1):127–154
Villata S, Araszkiewicz M, Ashley K, Bench-Capon T, Karl Branting L, Conrad Jack G, Wyner A (2022) Thirty years of AI and Law: The third decade. Artif Intell Law, 30(4)
Visser P (1995) Knowledge specification for multiple legal tasks; a case study of the interaction problem in the legal domain. Kluwer Law Internationa
Visser P, Bench-Capon T (1996a) The formal specification of a legal ontology. In: Proceedings of JURIX 1996, pages 15–24
Visser P, Bench-Capon T (1996b) On the reusability of ontologies in knowledge-system design. In: Proceedings of 7th International Conference and Workshop on Database and Expert Systems Applications, pages 256–261. IEEE
Visser P, Bench-Capon T (1998) A comparison of four ontologies for the design of legal knowledge systems. Artif Intell Law 6(1):27–57
Vlek CS, Prakken H, Renooij S, Verheij B (2014) Building Bayesian networks for legal evidence with narratives: a case study evaluation. Artif Intell Law 22(4):375–421
Vlek CS, Prakken H, Renooij S, Verheij B (2016) A method for explaining Bayesian networks for legal evidence with scenarios. Artif Intell Law 24(3):285–324
Vossen P (ed) (1998) EuroWordNet: a multilingual database with lexical semantic networks. Kluwer Academic Publishers, New York
Wagenaar WA, Van Koppen PJ, Crombag HFM (1993) Anchored narratives: the psychology of criminal evidence. St Martin’s Press, New York
Walton D (1996) Argumentation schemes for presumptive reasoning. Lawrence Erlbaum Associates, Mahwah
Walton D (2003) Is there a burden of questioning? Artif Intell Law 11(1):1–43
Walton D (2006) How to make and defend a proposal in a deliberation dialogue. Artif Intell Law 14(3):177–239
Walton D (2008) A dialogical theory of presumption. Artif Intell Law 16(2):209–243
Walton D (2010) Similarity, precedent and argument from analogy. Artif Intell Law 18(3):217–246
Walton D (2014) Baseballs and arguments from fairness. Artif Intell Law 22(4):423–449
Walton D (2019) When expert opinion evidence goes wrong. Artif Intell Law 27(4):369–401
Walton D, Krabbe ECW (1995) Commitment in dialogue: basic concepts of interpersonal reasoning. SUNY press, New York
Walton D, Zhang N (2013) The epistemology of scientific evidence. Artif Intell Law 21(2):173–219
Walton D, Reed C, Macagno F (2008) Argumentation schemes. Cambridge University Press, Cambridge
Wieten R, Bex F, Prakken H, Renooij S (2019) Supporting discussions about forensic bayesian networks using argumentation. In: Proceedings of the 17th International Conference on Artificial Intelligence and Law, pages 143–152
Wigmore JH (1913) The principles of judicial proof: as given by logic, psychology, and general experience, and illustrated in judicial trials. Little and Brown, New York
Zeleznikow J, Vossos G, Hunter D (1993) The IKBALS project: multi-modal reasoning in legal knowledge based systems. Artif Intell Law 2(3):169–203
Funding
No funding was received for conducting this study. No funding was received to assist with the preparation of this manuscript.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Araszkiewicz, M., Bench-Capon, T., Francesconi, E. et al. Thirty years of Artificial Intelligence and Law: overviews. Artif Intell Law 30, 593–610 (2022). https://doi.org/10.1007/s10506-022-09324-9
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10506-022-09324-9