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An expert system for drafting legal documents

Authors:

James Sprowl,

Periyasamy Balasubramanian,

Taizoon Chinwalla,

Martha Evens,

Henriette KlawansAuthors Info & Claims

AFIPS '84: Proceedings of the July 9-12, 1984, national computer conference and exposition

Pages 667 - 673

https://doi.org/10.1145/1499310.1499396

Published: 09 July 1984 Publication History

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Abstract

ABF is an expert system that assists attorneys in designing legal documents. The system starts by extracting from a library of legal forms a skeleton template that has embedded within it programming constructs such as conditionals and loops, references to other texts, and variables, which are later replaced by client-specific information in the course of a legal interview. Alternative passages are included or excluded dynamically as the interpreter encounters loops and conditionals. As the system analyzes the document, when it discovers that information is missing, it first looks in the client data file, then it tries to compute it, calling a subprogram if necessary. If all else fails, it generates an English question asking the user for the missing data. The user can stop the interpreter at any time, edit the draft, and reinitiate processing at any point. ABF has been implemented in PASCAL and runs on an IBM PC.

References

[1]

Sprowl, James A. "Automating the Legal Reasoning Process: A Computer That Uses Regulations and Statutes to Draft Legal Documents." American Bar Foundation Research Journal, Vol. 1979, pp. 1--8.

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[2]

Sprowl, James A., and Ronald W. Staudt. "Computerizing Client Services In The Law School Teaching Clinic: An Experiment In Law Office Automation." American Bar Foundation Research Journal, Vol. 1981, pp. 699--751.

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[3]

Cook, Sandra, Carole D. Hafner, L. Thorne McCarty, Jeffrey A. Meldman, Mark Peterson, James A. Sprowl, N. S. Sridharan, and D. A. Waterman. "The Applications of Artificial Intelligence to Law: A Survey of Six Current Projects." AFIPS, Proceedings of the National Computer Conference (Vol. 50), 1981, pp. 689--696.

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[4]

Saxon, Charles S. "Computer-aided Drafting of Legal Documents." American Bar Foundation Research Journal, Vol. 1982, pp. 685--754.

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https://doi.org/10.1109/ICDMW53433.2021.00085
Mukherjee SOates TDiMascio VJean HAres RWidmark DHarder J(2020)Immigration Document Classification and Automated Response Generation2020 International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW51313.2020.00114(782-789)Online publication date: Nov-2020
https://doi.org/10.1109/ICDMW51313.2020.00114

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Published In

AFIPS '84: Proceedings of the July 9-12, 1984, national computer conference and exposition

July 1984

746 pages

ISBN:0882830430

DOI:10.1145/1499310

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 July 1984

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Mukherjee SWidmark DDiMascio VOates T(2021)Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions2021 International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW53433.2021.00085(647-652)Online publication date: Dec-2021
https://doi.org/10.1109/ICDMW53433.2021.00085
Mukherjee SOates TDiMascio VJean HAres RWidmark DHarder J(2020)Immigration Document Classification and Automated Response Generation2020 International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW51313.2020.00114(782-789)Online publication date: Nov-2020
https://doi.org/10.1109/ICDMW51313.2020.00114

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