activity
20092026
most citedA General Approach for Predicting the Behavior of the Supreme Court of the United States

466 citations · 732 across the 25 of their papers we have counts for

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Showing cs.CLShow all

11 papers · 1 filter

cs.CL2026

SHELF: A Synthetic Harness for Multi-Task Bibliographic Benchmarking

Michael J. Bommarito

Libraries and archives manage large collections with limited staff and computing budgets, yet common benchmarks do not systematically test their bibliographic work. They need to kn…

cs.CL2025

OpenGloss: A Synthetic Encyclopedic Dictionary and Semantic Knowledge Graph

Michael J. Bommarito

We present OpenGloss, a synthetic encyclopedic dictionary and semantic knowledge graph for English that integrates lexicographic definitions, encyclopedic context, etymological his…

cs.CL2025

The KL3M Data Project: Copyright-Clean Training Resources for Large Language Models

Michael J Bommarito, Jillian Bommarito, Daniel Martin Katz

Practically all large language models have been pre-trained on data that is subject to global uncertainty related to copyright infringement and breach of contract. This creates pot…

cs.CL2025

Precise Legal Sentence Boundary Detection for Retrieval at Scale: NUPunkt and CharBoundary

Michael J Bommarito, Daniel Martin Katz, Jillian Bommarito

We present NUPunkt and CharBoundary, two sentence boundary detection libraries optimized for high-precision, high-throughput processing of legal text in large-scale applications su…

cs.CL2025

KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications

Michael J Bommarito, Daniel Martin Katz, Jillian Bommarito

We present the KL3M tokenizers, a family of specialized tokenizers for legal, financial, and governmental text. Despite established work on tokenization, specialized tokenizers for…

cs.CL2023★ 7 cited

Natural Language Processing in the Legal Domain

Dirk Hartung, Daniel Martin Katz, Michael J. Bommarito +3

We summarize the current state of the field of NLP & Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a…

cs.CL2023★ 14 cited

GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities

Jillian Bommarito, Michael Bommarito, Daniel Martin Katz +1

The global economy is increasingly dependent on knowledge workers to meet the needs of public and private organizations. While there is no single definition of knowledge work, orga…

cs.CL2022★ 57 cited

GPT Takes the Bar Exam

Michael Bommarito, Daniel Martin Katz

Nearly all jurisdictions in the United States require a professional license exam, commonly referred to as "the Bar Exam," as a precondition for law practice. To even sit for the e…

cs.CL2021★ 5 cited

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Ilias Chalkidis, Abhik Jana, Dirk Hartung +4

Laws and their interpretations, legal arguments and agreements\ are typically expressed in writing, leading to the production of vast corpora of legal text. Their analysis, which i…

cs.CL2018

OpenEDGAR: Open Source Software for SEC EDGAR Analysis

Michael J Bommarito, Daniel Martin Katz, Eric M Detterman

OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operate…

cs.CL2018★ 4 cited

LexNLP: Natural language processing and information extraction for legal and regulatory texts

Michael J Bommarito, Daniel Martin Katz, Eric M Detterman

LexNLP is an open source Python package focused on natural language processing and machine learning for legal and regulatory text. The package includes functionality to (i) segment…