Tag: legal tech

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Legal Informatics – Cambridge University Press (2021)

Daniel Katz

We are very pleased to announce pre-orders for “Legal Informatics” (Cambridge University Press – (Coming in early 2021) are now available on Amazon / Cambridge. Our book is designed to be an introduction to the academic discipline underlying the economic and technological transformation of the legal industry. Legal Informatics features contributions from more than two dozen academic and industry experts, chapters cover the history and principles of legal informatics and background technical concepts – including natural language processing and distributed ledger technology. The volume also presents real-world case studies that offer important insights into document review, due diligence, compliance, case prediction, billing, negotiation and settlement, contracting, patent management, legal research, and online dispute resolution. It is hardbound book ~600 pages in length.

#LegalInformatics #LegalTech #LegalInnovation #MachineLearning #NetworkScience #NLP #LegalScience

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OpenEDGAR: Open Source Software for SEC EDGAR Analysis is published in MIT Computational Law Report

Daniel Katz

Today our Paper – “OpenEDGAR: Open Source Software for SEC EDGAR Analysis” was published in MIT Computational Law Report.

ABSTRACT:  OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework, supports distributed compute across one or more servers, and includes functionality to (i) retrieve and parse index and filing data from EDGAR, (ii) build tables for key metadata like form type and filer, (iii) retrieve, parse, and update CIK to ticker and industry mappings, (iv) extract content and metadata from filing documents, and (v) search filing document contents. OpenEDGAR is designed for use in both academic research and industrial applications, and is distributed under MIT License at https://github.com/LexPredict/openedgar

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Behavioral Nudges Reduce Failure to Appear for Court (via Science)

Daniel Katz

ABSTRACT: “Each year, millions of Americans fail to appear in court for low-level offenses, and warrants are then issued for their arrest. In two field studies in New York City, we make critical information salient by redesigning the summons form and providing text message reminders. These interventions reduce failures to appear by 13-21% and lead to 30,000 fewer arrest warrants over a 3-year period. In lab experiments, we find that while criminal justice professionals see failures to appear as relatively unintentional, laypeople believe they are more intentional. These lay beliefs reduce support for policies that make court information salient and increase support for punishment. Our findings suggest that criminal justice policies can be made more effective and humane by anticipating human error in unintentional offenses.” Access Full Article.

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Block (Legal) Tech at Illinois Tech – Chicago Kent College of Law

Daniel Katz

Tomorrow it is the Block (Legal) Tech Conference at Illinois Tech – Chicago Kent College of Law … nearly 600+ registered to attend (overflow room will be available) … 20+ Speakers on One Stage discussing all things {Crypto + Law} from CryptoInfrastructure to CryptoLawyering to the Regulation of Distributed Ledger Technologies …. blocklegaltech.com

Thanks as always to our Sponsors for supporting our conference!

#LegalInnovation #LegalTech #FinLegalTech #Crypto #Cryptoeconomy #CryptoLawyering #CryptoInfrastructure

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Legal Data Science Research Group at Bucerius Law School

Daniel Katz

Spent the past few days here in Hamburg working with our multi-institutional scientific research team (Bucerius Law, Max Planck Institute, Chicago Kent Law, Heidelberg Law) … culminating in our presentation to the Bucerius Law Faculty today ! cc: Dirk Hartung Corinna Coupette Janis Beckedorf #legalinnovation #makelawbetter #legaltech #methods #legaldata #science #datascience #networkscience