<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Bommarito Consulting, LLC — Insights</title><description>Research and analysis from Bommarito Consulting.</description><link>https://bommaritollc.com/</link><language>en-us</language><item><title>HB 5940: Power Lines Along Michigan&apos;s Highways</title><link>https://bommaritollc.com/insights/michigan-hb-5940-transmission-highways/</link><guid isPermaLink="true">https://bommaritollc.com/insights/michigan-hb-5940-transmission-highways/</guid><description>Michigan House Bill 5940 would end the rule that power lines along limited access highways must be buried, but four public bodies still have to act before any overhead line goes up, with no deadline for any of them and no new say for neighbors or townships. The change word for word, the path from law to line, a county table, the Senate package, and what township boards, county officials, and property owners in communities such as Williamstown and Locke can do before the MPSC&apos;s October 21, 2026 comment deadline.</description><pubDate>Sun, 04 Oct 2026 12:00:00 GMT</pubDate><category>Research</category><category>transmission</category><category>michigan</category><category>permitting</category><category>highways</category><category>act-30</category><category>mpsc</category></item><item><title>BAAJA, Line by Line</title><link>https://bommaritollc.com/insights/baaja-line-by-line/</link><guid isPermaLink="true">https://bommaritollc.com/insights/baaja-line-by-line/</guid><description>A 132-page, section-by-section reading of the Bipartisan American Affordability and Jobs Act of 2026 (BAAJA, S. 5653): what the Senate permitting bill actually says, what it changes in federal law, and who wins and loses, cited to page and line — with a tested answer to whether it is a data-center bill. Full report PDF and companion videos.</description><pubDate>Fri, 02 Oct 2026 12:00:00 GMT</pubDate><category>Research</category><category>permitting</category><category>nepa</category><category>ferc</category><category>transmission</category><category>data-centers</category><category>judicial-review</category><category>clean-water-act</category><category>endangered-species-act</category><category>historic-preservation</category></item><item><title>The 2026 Senate Permitting Bill</title><link>https://bommaritollc.com/insights/senate-permitting-bill-2026/</link><guid isPermaLink="true">https://bommaritollc.com/insights/senate-permitting-bill-2026/</guid><description>An independent analysis of the September 30, 2026 Senate permitting deal: expanded federal power to approve power lines and take land, narrower court challenges, data center costs left to utility estimates, and no emissions limit — with Michigan worked examples and how the bill reaches other states. Full 40-page report available for download.</description><pubDate>Wed, 30 Sep 2026 12:00:00 GMT</pubDate><category>Research</category><category>permitting</category><category>transmission</category><category>data-centers</category><category>eminent-domain</category><category>michigan</category><category>ferc</category><category>nepa</category></item><item><title>The Oracle Tax Abatement Application in Saline Township</title><link>https://bommaritollc.com/insights/saline-township-data-center-tax-abatement/</link><guid isPermaLink="true">https://bommaritollc.com/insights/saline-township-data-center-tax-abatement/</guid><description>An independent evidence review of Oracle&apos;s $43.1 billion tax abatement application under Michigan Public Act 198: the statutory six-month commencement rule, the county&apos;s own permit record, the consent judgment, principal findings, and recommended actions — revised July 18, 2026 after the Township Board&apos;s July 14 and July 17 votes, with the full 46-page report available for download.</description><pubDate>Mon, 13 Jul 2026 12:00:00 GMT</pubDate><category>Research</category><category>data-centers</category><category>tax-abatement</category><category>michigan</category><category>pa-198</category><category>saline-township</category><category>public-records</category></item><item><title>The Proposed ITC Oneida–Sabine Lake 345 kV Transmission Line</title><link>https://bommaritollc.com/insights/itc-oneida-sabine-route-analysis/</link><guid isPermaLink="true">https://bommaritollc.com/insights/itc-oneida-sabine-route-analysis/</guid><description>An independent, reproducible route and environmental analysis of ITC&apos;s seven published alternatives for the Oneida–Sabine Lake 345 kV line in central Michigan — scored on the Act 30 factors with and without House Bill 5940&apos;s freeway credit, stress-tested across a million weightings, and resolved township by township. Revised September 2026; full 41-page report and explainer video.</description><pubDate>Mon, 08 Jun 2026 12:00:00 GMT</pubDate><category>Research</category><category>transmission</category><category>siting</category><category>michigan</category><category>act-30</category><category>mpsc</category><category>gis</category><category>public-records</category></item><item><title>Independent Traffic &amp; Siting Analysis of the Proposed Chicago Bears Stadium</title><link>https://bommaritollc.com/insights/bears-stadium-traffic-study/</link><guid isPermaLink="true">https://bommaritollc.com/insights/bears-stadium-traffic-study/</guid><description>A public-data traffic analysis of the proposed Bears stadium at Arlington Park: roughly 32,000 game-day vehicle trips, 112 local-street bottlenecks that persist in every mode-share scenario, the Metra surge-service gap, and equity concentration on the impact corridors — with five adoptable recommendations. Full 55-page report available for download.</description><pubDate>Fri, 22 May 2026 12:00:00 GMT</pubDate><category>Research</category><category>traffic</category><category>stadium</category><category>arlington-heights</category><category>illinois</category><category>transportation</category><category>public-records</category><category>equity</category></item><item><title>EU AI Code of Practice Draft: What Boards Should Know</title><link>https://bommaritollc.com/insights/eu-ai-code-of-practice/</link><guid isPermaLink="true">https://bommaritollc.com/insights/eu-ai-code-of-practice/</guid><description>An analysis of the EU AI Office&apos;s draft General-Purpose AI Code of Practice, highlighting systemic risk oversight, documentation requirements, incident response, and board-level compliance considerations.</description><pubDate>Thu, 14 Nov 2024 12:00:00 GMT</pubDate><category>AI Governance</category><category>ai-governance</category><category>eu-ai-act</category><category>compliance</category><category>board-governance</category><category>risk-management</category></item><item><title>AI Lifecycle and the Board&apos;s Role</title><link>https://bommaritollc.com/insights/ai-lifecycle-boards-role/</link><guid isPermaLink="true">https://bommaritollc.com/insights/ai-lifecycle-boards-role/</guid><description>A primer for board directors on the AI lifecycle — data collection, training, and deployment — and the strategic considerations boards must understand for effective AI oversight.</description><pubDate>Fri, 11 Oct 2024 12:00:00 GMT</pubDate><category>AI Governance</category><category>ai-governance</category><category>board-governance</category><category>machine-learning</category><category>data-governance</category></item><item><title>AI Oversight: 5 Key Sources of Board Requirements</title><link>https://bommaritollc.com/insights/common-ai-requirements/</link><guid isPermaLink="true">https://bommaritollc.com/insights/common-ai-requirements/</guid><description>A framework identifying the five key sources of AI governance requirements for boards — legal mandates, risk frameworks, insurance, internal policies, and customer preferences.</description><pubDate>Thu, 10 Oct 2024 12:00:00 GMT</pubDate><category>AI Governance</category><category>ai-governance</category><category>board-governance</category><category>compliance</category><category>risk-management</category><category>privacy</category></item><item><title>Risk Management for AI: A Board Director&apos;s Guide</title><link>https://bommaritollc.com/insights/ai-risk-management-board/</link><guid isPermaLink="true">https://bommaritollc.com/insights/ai-risk-management-board/</guid><description>A comprehensive guide for board directors on leading AI risk management through six key elements: establishing context, risk assessment, risk treatment, recording, communication, and continuous monitoring.</description><pubDate>Wed, 09 Oct 2024 12:00:00 GMT</pubDate><category>AI Governance</category><category>ai-governance</category><category>risk-management</category><category>board-governance</category><category>compliance</category></item><item><title>The KL3M Data Project: Building Copyright-Clean Training Data at Scale</title><link>https://bommaritollc.com/insights/kl3m-data-project/</link><guid isPermaLink="true">https://bommaritollc.com/insights/kl3m-data-project/</guid><description>Inside the KL3M Data Project — assembling 132M+ copyright-clean documents to enable responsible LLM training and earning the first &apos;Fairly Trained&apos; certification.</description><pubDate>Sun, 01 Sep 2024 12:00:00 GMT</pubDate><category>Open Source</category><category>open-source</category><category>data-provenance</category><category>machine-learning</category><category>legal-tech</category><category>ai-governance</category></item><item><title>How Data Provenance Drives Machine Learning Risk and Value</title><link>https://bommaritollc.com/insights/data-provenance-ai-value/</link><guid isPermaLink="true">https://bommaritollc.com/insights/data-provenance-ai-value/</guid><description>An exploration of data provenance — the origin and history of data — and why it is a board-level concern for AI risk management, legal compliance, and responsible governance.</description><pubDate>Wed, 30 Mar 2022 12:00:00 GMT</pubDate><category>AI Governance</category><category>ai-governance</category><category>data-provenance</category><category>data-governance</category><category>compliance</category><category>machine-learning</category></item><item><title>Pioneering Responsible Data Science: A Framework for Ethical Innovation</title><link>https://bommaritollc.com/insights/responsible-data-framework/</link><guid isPermaLink="true">https://bommaritollc.com/insights/responsible-data-framework/</guid><description>Introducing an open-source Responsible Data Science Policy Framework designed to help organizations address ethical AI governance through a modular, adaptable approach.</description><pubDate>Mon, 18 Oct 2021 12:00:00 GMT</pubDate><category>AI Governance</category><category>ai-governance</category><category>open-source</category><category>data-governance</category><category>compliance</category><category>risk-management</category></item><item><title>Since Our Last Episode: The Evolution of Bommarito Consulting</title><link>https://bommaritollc.com/insights/since-our-last-episode/</link><guid isPermaLink="true">https://bommaritollc.com/insights/since-our-last-episode/</guid><description>A retrospective on the firm&apos;s journey from early-stage consulting through the LexPredict era, and the pivot toward AI governance, privacy, and institutional advisory.</description><pubDate>Wed, 02 Jan 2019 12:00:00 GMT</pubDate><category>Firm Update</category><category>firm-update</category><category>legal-tech</category><category>ai-governance</category><category>entrepreneurship</category></item><item><title>Built to Sell: Lessons from the LexPredict Journey</title><link>https://bommaritollc.com/insights/built-to-sell/</link><guid isPermaLink="true">https://bommaritollc.com/insights/built-to-sell/</guid><description>Key takeaways from building, scaling, and successfully exiting LexPredict — an AI-powered legal technology company acquired in 2018.</description><pubDate>Fri, 15 Jun 2018 12:00:00 GMT</pubDate><category>Entrepreneurship</category><category>entrepreneurship</category><category>legal-tech</category><category>startup</category><category>board-governance</category></item><item><title>Predicting the Supreme Court: AI Meets Legal Outcomes</title><link>https://bommaritollc.com/insights/scotus-prediction/</link><guid isPermaLink="true">https://bommaritollc.com/insights/scotus-prediction/</guid><description>How our machine learning research achieved breakthrough results in predicting Supreme Court decisions, and what it means for the future of legal AI.</description><pubDate>Fri, 10 Mar 2017 12:00:00 GMT</pubDate><category>Research</category><category>machine-learning</category><category>supreme-court</category><category>legal-tech</category><category>judicial-analytics</category><category>research</category></item><item><title>Course Material for Complex Systems 530 — Computer Modeling for Complex Systems</title><link>https://bommaritollc.com/insights/complex-systems-530-course-material/</link><guid isPermaLink="true">https://bommaritollc.com/insights/complex-systems-530-course-material/</guid><description>Open course material for Complex Systems 530 at the University of Michigan, covering agent-based, Monte Carlo, and network modeling in Python.</description><pubDate>Tue, 27 Jan 2015 12:00:00 GMT</pubDate><category>Research</category><category>python</category><category>computational-modeling</category><category>complex-systems</category><category>open-source</category><category>education</category></item><item><title>Predicting the Behavior of the Supreme Court of the United States: A General Approach</title><link>https://bommaritollc.com/insights/predicting-the-supreme-court/</link><guid isPermaLink="true">https://bommaritollc.com/insights/predicting-the-supreme-court/</guid><description>Introducing our Supreme Court prediction project using extremely randomized trees to forecast over sixty years of decisions and individual justice votes.</description><pubDate>Sun, 27 Jul 2014 12:00:00 GMT</pubDate><category>Research</category><category>machine-learning</category><category>supreme-court</category><category>legal-tech</category><category>research</category><category>random-forests</category></item><item><title>Advanced Approximate Sentence Matching in Python</title><link>https://bommaritollc.com/insights/advanced-sentence-matching-python/</link><guid isPermaLink="true">https://bommaritollc.com/insights/advanced-sentence-matching-python/</guid><description>Advanced techniques for approximate sentence matching in Python using Jaccard similarity on token, stem, and noun lemma sets after stopword removal.</description><pubDate>Mon, 30 Jun 2014 12:00:00 GMT</pubDate><category>Archive</category><category>python</category><category>natural-language-processing</category><category>text-mining</category><category>data-science</category></item><item><title>Fuzzy Match Sentences in Python</title><link>https://bommaritollc.com/insights/fuzzy-match-sentences-python/</link><guid isPermaLink="true">https://bommaritollc.com/insights/fuzzy-match-sentences-python/</guid><description>A tutorial on fuzzy matching sentences in Python using NLTK, covering tokenization, stopword removal, stemming, and lemmatization approaches.</description><pubDate>Thu, 12 Jun 2014 12:00:00 GMT</pubDate><category>Archive</category><category>python</category><category>natural-language-processing</category><category>text-mining</category><category>data-science</category></item><item><title>Isotonic Regressions in scikit-learn</title><link>https://bommaritollc.com/insights/isotonic-regressions-scikit-learn/</link><guid isPermaLink="true">https://bommaritollc.com/insights/isotonic-regressions-scikit-learn/</guid><description>A practical example and discussion of isotonic regression in Python&apos;s scikit-learn, including contributions to improve the IsotonicRegression class.</description><pubDate>Sun, 08 Jun 2014 12:00:00 GMT</pubDate><category>Archive</category><category>python</category><category>machine-learning</category><category>data-science</category><category>open-source</category><category>scikit-learn</category></item><item><title>Featured in Wired: Measuring the Complexity of the Law</title><link>https://bommaritollc.com/insights/wired-measuring-complexity-law/</link><guid isPermaLink="true">https://bommaritollc.com/insights/wired-measuring-complexity-law/</guid><description>Sam Arbesman featured our paper on measuring legal complexity of the United States Code on his Wired Science blog, the Social Dimension.</description><pubDate>Tue, 03 Jun 2014 12:00:00 GMT</pubDate><category>Research</category><category>computational-law</category><category>research</category><category>natural-language-processing</category><category>data-science</category></item><item><title>Is There Tax in the Cloud?</title><link>https://bommaritollc.com/insights/tax-cloud/</link><guid isPermaLink="true">https://bommaritollc.com/insights/tax-cloud/</guid><description>A discussion of the U.S. tax implications of cloud computing transactions, highlighting Orly Mazur&apos;s SSRN paper on the challenges that IaaS, PaaS, and SaaS create for federal income tax principles.</description><pubDate>Mon, 19 May 2014 12:00:00 GMT</pubDate><category>Archive</category><category>cloud-computing</category><category>tax-law</category><category>legal-tech</category></item><item><title>Benchmarking the new AWS Postgres RDS instances</title><link>https://bommaritollc.com/insights/benchmarking-new-aws-postgres-rds-instances/</link><guid isPermaLink="true">https://bommaritollc.com/insights/benchmarking-new-aws-postgres-rds-instances/</guid><description>Postgres has finally come to RDS (http://aws.amazon.com/rds/postgresql/)!</description><pubDate>Thu, 14 Nov 2013 12:00:00 GMT</pubDate><category>Archive</category><category>aws</category><category>cloud</category><category>infrastructure</category><category>pgbench</category><category>postgres</category><category>programming</category><category>rds</category></item><item><title>AWS EC2 hs1.8xlarge Oracle ORION benchmark results</title><link>https://bommaritollc.com/insights/aws-ec2-hs1-8xlarge-oracle-orion-benchmark-results/</link><guid isPermaLink="true">https://bommaritollc.com/insights/aws-ec2-hs1-8xlarge-oracle-orion-benchmark-results/</guid><description>Benchmarking I/O with Oracle ORION (http://docs.oracle.com/cd/E11882_01/server.112/e16638/iodesign.htm#PFGRF95222) is an important part of planning, baselining, and performance-tuning Oracle environments.</description><pubDate>Mon, 28 Oct 2013 12:00:00 GMT</pubDate><category>Archive</category><category>aws</category><category>benchmark</category><category>cloud</category><category>consulting</category><category>ec2</category><category>hi1-4xlarge</category><category>hs1-8xlarge</category><category>infrastructure</category><category>io</category><category>oracle</category><category>orion</category><category>programming</category><category>research</category></item><item><title>ipython notebook for R: Quickstart for Ubuntu</title><link>https://bommaritollc.com/insights/ipython-notebook-r-quickstart-ubuntu/</link><guid isPermaLink="true">https://bommaritollc.com/insights/ipython-notebook-r-quickstart-ubuntu/</guid><description>If you&apos;re like me, you love ipython notebook (http://ipython.org/notebook.html) but often write R.</description><pubDate>Sun, 27 Oct 2013 12:00:00 GMT</pubDate><category>Archive</category><category>consulting</category><category>interactive</category><category>ipython</category><category>notebook</category><category>programming</category><category>r</category><category>rnotebook</category><category>technology</category></item><item><title>Is the Tax Code the Longest Title?</title><link>https://bommaritollc.com/insights/tax-code-longest-title/</link><guid isPermaLink="true">https://bommaritollc.com/insights/tax-code-longest-title/</guid><description>An analysis of whether the Internal Revenue Code (Title 26) is actually the longest Title in the U.S. Code, using data from our paper on measuring legal complexity.</description><pubDate>Mon, 19 Aug 2013 12:00:00 GMT</pubDate><category>Research</category><category>computational-law</category><category>data-science</category><category>r-programming</category><category>legal-complexity</category><category>research</category></item><item><title>Measuring the Complexity of the Law: The U.S. Code</title><link>https://bommaritollc.com/insights/measuring-complexity-law-us-code/</link><guid isPermaLink="true">https://bommaritollc.com/insights/measuring-complexity-law-us-code/</guid><description>Releasing our empirical framework for measuring legal complexity, applied to the U.S. Code, with full replication source and data on GitHub.</description><pubDate>Tue, 13 Aug 2013 12:00:00 GMT</pubDate><category>Research</category><category>computational-law</category><category>legal-complexity</category><category>research</category><category>python</category><category>complex-systems</category></item><item><title>Plotting average read and write operation size by ASM disk for Oracle</title><link>https://bommaritollc.com/insights/plotting-average-read-and-write-operation-size-by-asm-disk-for-oracle/</link><guid isPermaLink="true">https://bommaritollc.com/insights/plotting-average-read-and-write-operation-size-by-asm-disk-for-oracle/</guid><description>Throughput, throughput, throughput - for many databases, this is the performance measure of importance.</description><pubDate>Wed, 12 Jun 2013 12:00:00 GMT</pubDate><category>Archive</category><category>asm</category><category>consulting</category><category>database</category><category>ggplot2</category><category>oracle</category><category>programming</category><category>r</category></item><item><title>Law&apos;s Future from Finance&apos;s Past: Recorded Talk from Reinvent Law Silicon Valley</title><link>https://bommaritollc.com/insights/laws-future-finances-past-reinvent-law/</link><guid isPermaLink="true">https://bommaritollc.com/insights/laws-future-finances-past-reinvent-law/</guid><description>The recorded video of Michael Bommarito&apos;s talk at the Reinvent Law Silicon Valley event, drawing parallels between the evolution of finance and the future trajectory of the legal industry.</description><pubDate>Sat, 18 May 2013 12:00:00 GMT</pubDate><category>Archive</category><category>legal-tech</category><category>speaking</category></item><item><title>Connecting R to an Oracle Database with RJDBC</title><link>https://bommaritollc.com/insights/connecting-r-oracle-rjdbc/</link><guid isPermaLink="true">https://bommaritollc.com/insights/connecting-r-oracle-rjdbc/</guid><description>A step-by-step guide to connecting R to an Oracle database using RJDBC, a cross-platform JDBC-based approach.</description><pubDate>Thu, 22 Nov 2012 12:00:00 GMT</pubDate><category>Archive</category><category>r-programming</category><category>database</category><category>oracle</category><category>jdbc</category></item><item><title>Retrieving the VIX term structure in R</title><link>https://bommaritollc.com/insights/retrieving-the-vix-term-structure-in-r/</link><guid isPermaLink="true">https://bommaritollc.com/insights/retrieving-the-vix-term-structure-in-r/</guid><description>Much of my time lately has gone into analyzing and trading products in the volatility complex.</description><pubDate>Mon, 05 Nov 2012 12:00:00 GMT</pubDate><category>Archive</category><category>consulting</category><category>programming</category><category>r</category><category>trading</category><category>volatility</category></item><item><title>Natural Language Processing and Machine Learning for e-Discovery  - Slides from guest lecture at MSU College of Law</title><link>https://bommaritollc.com/insights/natural-language-processing-and-machine-learning-for-e-discovery-slides-from-guest-lecture-at-msu-college-of-law/</link><guid isPermaLink="true">https://bommaritollc.com/insights/natural-language-processing-and-machine-learning-for-e-discovery-slides-from-guest-lecture-at-msu-college-of-law/</guid><description>Fellow Computational Legal Studies (http://computationallegalstudies.com/) blogger and MSU law prof Dan Katz (http://www.law.msu.edu/faculty_staff/profile.php?prof=780) invited me to give an expert guest lecture for…</description><pubDate>Wed, 31 Oct 2012 12:00:00 GMT</pubDate><category>Archive</category><category>consulting</category><category>ediscovery</category><category>law</category><category>lecture</category><category>machine-learning</category><category>ml</category><category>natural-language-processing</category><category>nlp</category><category>predictive-coding</category><category>technology</category></item><item><title>Debugging parameter mismatch across RAC database instances with R, dba_hist, and gv$parameter</title><link>https://bommaritollc.com/insights/debugging-parameter-mismatch-across-rac-database-instances-with-r-dba_hist-and-gvparameter/</link><guid isPermaLink="true">https://bommaritollc.com/insights/debugging-parameter-mismatch-across-rac-database-instances-with-r-dba_hist-and-gvparameter/</guid><description>Much of this morning went into investigating strange ADDM reports on a two-node Oracle RAC database.</description><pubDate>Tue, 09 Oct 2012 12:00:00 GMT</pubDate><category>Archive</category><category>consulting</category><category>database</category><category>ggplot2</category><category>optimizer</category><category>oracle</category><category>programming</category><category>r</category><category>rac</category><category>technology</category></item><item><title>Wordcloud of the Arizona et al. v. United States opinion</title><link>https://bommaritollc.com/insights/wordcloud-arizona-et-al-v-united-states-opinion/</link><guid isPermaLink="true">https://bommaritollc.com/insights/wordcloud-arizona-et-al-v-united-states-opinion/</guid><description>Here&apos;s one purely for fun - a wordcloud built from the Supreme Court&apos;s opinion on Arizona et al.</description><pubDate>Mon, 25 Jun 2012 12:00:00 GMT</pubDate><category>Archive</category><category>java</category><category>law</category><category>legal-informatics</category><category>programming</category><category>r</category><category>technology</category><category>tika</category></item><item><title>Summary of Community Detection Algorithms in igraph 0.6</title><link>https://bommaritollc.com/insights/community-detection-igraph/</link><guid isPermaLink="true">https://bommaritollc.com/insights/community-detection-igraph/</guid><description>A reference guide to the community detection algorithms available in igraph 0.6, including their runtime complexity, and support for directed and weighted edges.</description><pubDate>Sun, 17 Jun 2012 12:00:00 GMT</pubDate><category>Research</category><category>network-analysis</category><category>python</category><category>data-science</category><category>graph-theory</category></item><item><title>Building Python pandas from development source</title><link>https://bommaritollc.com/insights/building-python-pandas-from-development-source/</link><guid isPermaLink="true">https://bommaritollc.com/insights/building-python-pandas-from-development-source/</guid><description>I first heard about Python pandas (http://pandas.pydata.org/) from a friend at RenTech or AQR in the early summer of last year.</description><pubDate>Sun, 03 Jun 2012 12:00:00 GMT</pubDate><category>Archive</category><category>computing</category><category>consulting</category><category>data</category><category>linux</category><category>numpy</category><category>pandas</category><category>programming</category><category>python</category><category>scipy</category></item><item><title>OTM in the Cloud: Hosting Architectures, Part 2 - 1+RDS</title><link>https://bommaritollc.com/insights/otm-in-the-cloud-hosting-architectures-part-2-1rds/</link><guid isPermaLink="true">https://bommaritollc.com/insights/otm-in-the-cloud-hosting-architectures-part-2-1rds/</guid><description>In our last post on cloud architectures, I covered a simple one-node Oracle Transportation Management instance on Amazon Web Services using EC2…</description><pubDate>Thu, 31 May 2012 12:00:00 GMT</pubDate><category>Archive</category><category>aws</category><category>cloud</category><category>consulting</category><category>database</category><category>oracle</category><category>oracle-transportation-management</category><category>otm</category><category>rds</category><category>technology</category></item><item><title>Oracle Transportation Management (OTM) in the Cloud: Hosting Architectures, Part I - Single Node</title><link>https://bommaritollc.com/insights/oracle-transportation-management-otm-in-the-cloud-hosting-architectures-part-i-single-node/</link><guid isPermaLink="true">https://bommaritollc.com/insights/oracle-transportation-management-otm-in-the-cloud-hosting-architectures-part-i-single-node/</guid><description>As I mentioned on Monday (http://michaelbommarito.com/2012/05/21/upcoming-series-oracle-transportation-management-otm-in-the-cloud/), I&apos;ll be starting a series of posts on Oracle Transportation Management (OTM) in…</description><pubDate>Wed, 23 May 2012 12:00:00 GMT</pubDate><category>Archive</category><category>aws</category><category>cloud</category><category>company-news</category><category>consulting</category><category>hosting</category><category>oracle</category><category>otm</category><category>technology</category></item><item><title>Visualizing the #nonato Twitter hashtag - time series and top users</title><link>https://bommaritollc.com/insights/visualizing-the-nonato-twitter-hashtag-time-series-and-top-users/</link><guid isPermaLink="true">https://bommaritollc.com/insights/visualizing-the-nonato-twitter-hashtag-time-series-and-top-users/</guid><description>The NATO summit (http://www.nato.int/docu/review/index_EN.htm) is currently being held in Chicago, and, as is typical for NATO or G# summits, the streets and tweets are full of dissent.</description><pubDate>Mon, 21 May 2012 12:00:00 GMT</pubDate><category>Archive</category><category>consulting</category><category>data</category><category>informatics</category><category>programming</category><category>python</category><category>r</category><category>technology</category><category>twitter</category><category>visualization</category></item><item><title>eDiscovery Consulting in the Cloud: Searching an Outlook Mailbox and Attachments</title><link>https://bommaritollc.com/insights/ediscovery-outlook-mailbox-cloud/</link><guid isPermaLink="true">https://bommaritollc.com/insights/ediscovery-outlook-mailbox-cloud/</guid><description>A real-world case study demonstrating how to make Outlook PST mailboxes and their attachments searchable using AWS CloudSearch, processing 1.3GB of Enron email data on a laptop in under an hour.</description><pubDate>Sat, 19 May 2012 12:00:00 GMT</pubDate><category>Archive</category><category>cloud-computing</category><category>aws</category><category>ediscovery</category><category>legal-tech</category></item><item><title>Down with the static</title><link>https://bommaritollc.com/insights/down-with-the-static/</link><guid isPermaLink="true">https://bommaritollc.com/insights/down-with-the-static/</guid><description>After six years of static HTML, it finally became apparent that this site needed a real CMS.</description><pubDate>Sun, 06 May 2012 12:00:00 GMT</pubDate><category>Archive</category><category>company-news</category></item><item><title>“Google” for Subpoenaed Emails: AWS CloudSearch for eDiscovery</title><link>https://bommaritollc.com/insights/aws-cloudsearch-ediscovery/</link><guid isPermaLink="true">https://bommaritollc.com/insights/aws-cloudsearch-ediscovery/</guid><description>A practical look at using AWS CloudSearch to build a scalable, on-demand search engine for subpoenaed email in eDiscovery engagements, eliminating the need for large capital expenditures on servers and storage.</description><pubDate>Sat, 21 Apr 2012 12:00:00 GMT</pubDate><category>Archive</category><category>cloud-computing</category><category>aws</category><category>ediscovery</category><category>legal-tech</category></item><item><title>Generating AWS CloudSearch SDF for Emails</title><link>https://bommaritollc.com/insights/generating-aws-cloudsearch-sdf-for-emails/</link><guid isPermaLink="true">https://bommaritollc.com/insights/generating-aws-cloudsearch-sdf-for-emails/</guid><description>In my last post on CloudSearch and eDiscovery (http://www.michaelbommarito.com/blog/2012/04/21/google-for-subpoenaed-emails-aws-cloudsearch-for-ediscovery/), I described something like &quot;Google&quot; for eDiscovery emails.</description><pubDate>Sat, 21 Apr 2012 12:00:00 GMT</pubDate><category>Archive</category><category>aws</category><category>cloud</category><category>ediscovery</category><category>finance</category><category>legal-informatics</category><category>programming</category><category>python</category><category>research</category></item><item><title>Building an AWS CloudSearch Domain for the Supreme Court</title><link>https://bommaritollc.com/insights/building-aws-cloudsearch-supreme-court/</link><guid isPermaLink="true">https://bommaritollc.com/insights/building-aws-cloudsearch-supreme-court/</guid><description>A step-by-step tutorial for building a fully searchable AWS CloudSearch domain using public domain U.S. Supreme Court decisions, covering data acquisition, domain configuration, indexing, and querying.</description><pubDate>Sun, 15 Apr 2012 12:00:00 GMT</pubDate><category>Research</category><category>cloud-computing</category><category>aws</category><category>legal-tech</category><category>search</category><category>tutorial</category></item><item><title>Visualization of Reading Level Frequency by Congressional Bill Stage</title><link>https://bommaritollc.com/insights/visualization-of-reading-level-frequency-by-congressional-bill-stage/</link><guid isPermaLink="true">https://bommaritollc.com/insights/visualization-of-reading-level-frequency-by-congressional-bill-stage/</guid><description>Here&apos;s a fun example of how you might use my data on Congressional bill length and complexity (http://www.michaelbommarito.com/blog/2012/04/14/updates-to-data-and-statistics-on-congressional-bill-complexity/).</description><pubDate>Sun, 15 Apr 2012 12:00:00 GMT</pubDate><category>Archive</category><category>computing</category><category>data</category><category>law</category><category>politics</category><category>programming</category><category>r</category><category>research</category><category>visualization</category></item><item><title>Statistics on the Length and Linguistic Complexity of Bills</title><link>https://bommaritollc.com/insights/statistics-length-linguistic-complexity-bills/</link><guid isPermaLink="true">https://bommaritollc.com/insights/statistics-length-linguistic-complexity-bills/</guid><description>An introduction to an automated daily analysis of 112th Congress bills, providing statistics on section count, word count, unique words, and Flesch-Kincaid reading level for every bill.</description><pubDate>Mon, 13 Feb 2012 12:00:00 GMT</pubDate><category>Research</category><category>computational-law</category><category>natural-language-processing</category><category>data-science</category><category>research</category></item><item><title>Visual Summary of #jan25 Twitter Activity</title><link>https://bommaritollc.com/insights/visual-summary-of-jan25-twitter-activity/</link><guid isPermaLink="true">https://bommaritollc.com/insights/visual-summary-of-jan25-twitter-activity/</guid><description>Last year, I covered a number of the so-called &quot;Twitter protests&quot; in China (#cn220 (http://www.michaelbommarito.com/blog/2011/02/20/dataset-tweets-from-the-chinese-protests-cn220/)), Iran (#25bahman…</description><pubDate>Sun, 29 Jan 2012 12:00:00 GMT</pubDate><category>Archive</category><category>25jan</category><category>gephi</category><category>network</category><category>r</category><category>research</category><category>society</category><category>twitter</category></item><item><title>Debugging ORA-02292: integrity constraint (OWNER.CONSTRAINT) violated - child record found</title><link>https://bommaritollc.com/insights/debugging-ora-02292-integrity-constraint-owner-constraint-violated-child-record-found/</link><guid isPermaLink="true">https://bommaritollc.com/insights/debugging-ora-02292-integrity-constraint-owner-constraint-violated-child-record-found/</guid><description>Working with Oracle databases (http://www.oracle.com/us/products/database/index.html) can be daunting to developers and analysts who lack a deep understanding of relational models and SQL.</description><pubDate>Sun, 22 Jan 2012 12:00:00 GMT</pubDate><category>Archive</category><category>database</category><category>network</category><category>ora-02292</category><category>oracle</category><category>otm</category><category>programming</category></item><item><title>Saving Memory in Redis and Python with struct.pack</title><link>https://bommaritollc.com/insights/redis-python-struct-pack/</link><guid isPermaLink="true">https://bommaritollc.com/insights/redis-python-struct-pack/</guid><description>Using Python&apos;s struct.pack to convert numbers from string to binary representation in Redis, achieving significant memory savings.</description><pubDate>Sun, 15 Jan 2012 12:00:00 GMT</pubDate><category>Archive</category><category>python</category><category>redis</category><category>performance-optimization</category><category>data-structures</category></item><item><title>Blogging for myself, not you.</title><link>https://bommaritollc.com/insights/blogging-for-myself-not-you/</link><guid isPermaLink="true">https://bommaritollc.com/insights/blogging-for-myself-not-you/</guid><description>In between writing the wrong year on documents, I&apos;ve been reflecting on this blog.</description><pubDate>Sun, 15 Jan 2012 12:00:00 GMT</pubDate><category>Archive</category><category>personal</category></item><item><title>Building Legal Language Explorer: Interactivity and Drill-Down, noSQL and SQL</title><link>https://bommaritollc.com/insights/building-legal-language-explorer/</link><guid isPermaLink="true">https://bommaritollc.com/insights/building-legal-language-explorer/</guid><description>A technical deep-dive into the architecture of the Legal Language Explorer, a Google Ngrams-style viewer for the U.S. Supreme Court corpus, combining redis (noSQL) for fast time series queries with PostgreSQL for case-level drill-down.</description><pubDate>Fri, 16 Dec 2011 12:00:00 GMT</pubDate><category>Research</category><category>legal-tech</category><category>redis</category><category>database</category><category>cloud-computing</category><category>natural-language-processing</category><category>computational-law</category></item><item><title>21st Century Legal Informatics: Part 1, Introduction</title><link>https://bommaritollc.com/insights/21st-century-legal-informatics/</link><guid isPermaLink="true">https://bommaritollc.com/insights/21st-century-legal-informatics/</guid><description>An introduction to three paradigms of legal informatics — 20th century computers-as-libraries, 22nd century computers-as-lawyers, and the practical 21st century middle ground.</description><pubDate>Sun, 13 Nov 2011 12:00:00 GMT</pubDate><category>Research</category><category>legal-tech</category><category>computational-law</category><category>artificial-intelligence</category><category>legal-informatics</category></item><item><title>Single HTML File of the Michigan Compiled Law (MCL)</title><link>https://bommaritollc.com/insights/single-html-file-of-the-michigan-compiled-law-mcl/</link><guid isPermaLink="true">https://bommaritollc.com/insights/single-html-file-of-the-michigan-compiled-law-mcl/</guid><description>Last night, I posted a copy of the Michigan Compiled Law (MCL) as an improved and structured XML document.</description><pubDate>Sun, 14 Aug 2011 12:00:00 GMT</pubDate><category>Archive</category><category>data</category><category>law</category><category>programming</category></item><item><title>XML Copy of the Michigan Compiled Law (MCL)</title><link>https://bommaritollc.com/insights/xml-copy-of-the-michigan-compiled-law-mcl/</link><guid isPermaLink="true">https://bommaritollc.com/insights/xml-copy-of-the-michigan-compiled-law-mcl/</guid><description>A few weeks ago, Ari Hershowitz (http://blog.tabulaw.com/) posted on Quroa calling for a Californa code hackathon (http://www.quora.com/Ari-Hershowitz/Hackathon-Anyone-Recode-Californias-Laws).</description><pubDate>Sat, 13 Aug 2011 12:00:00 GMT</pubDate><category>Archive</category><category>computational-legal-studies</category><category>data</category><category>law</category><category>legal-informatics</category><category>politics</category><category>programming</category></item><item><title>Building igraph&apos;s Python bindings with plotting support on Ubuntu</title><link>https://bommaritollc.com/insights/building-igraphs-python-bindings-with-plotting-support-on-ubuntu/</link><guid isPermaLink="true">https://bommaritollc.com/insights/building-igraphs-python-bindings-with-plotting-support-on-ubuntu/</guid><description>igraph (http://igraph.sourceforge.net/) is my preferred library for graph manipulation.</description><pubDate>Mon, 18 Jul 2011 12:00:00 GMT</pubDate><category>Archive</category><category>networks</category><category>programming</category><category>python</category></item><item><title>Historical Data Mining the Supreme Court Headnotes</title><link>https://bommaritollc.com/insights/historical-data-mining-supreme-court-headnotes/</link><guid isPermaLink="true">https://bommaritollc.com/insights/historical-data-mining-supreme-court-headnotes/</guid><description>A demonstration of historical data mining techniques using editorially-assigned legal headnotes from U.S. Supreme Court cases, examining co-occurrence and citation networks to trace the evolution of legal concepts like criminal suspect rights.</description><pubDate>Wed, 04 May 2011 12:00:00 GMT</pubDate><category>Research</category><category>computational-law</category><category>data-mining</category><category>network-analysis</category><category>legal-tech</category><category>text-mining</category></item><item><title>Two New Papers on SSRN: Measuring EU Integration Through Sovereign Debt &amp; Exploring Relationships Between Headnotes in the Supreme Court</title><link>https://bommaritollc.com/insights/ssrn-eu-integration-scotus-headnotes/</link><guid isPermaLink="true">https://bommaritollc.com/insights/ssrn-eu-integration-scotus-headnotes/</guid><description>Announcing two working papers released on SSRN: one measuring European integration through sovereign bond yield correlations from 1872 to 2010, and another exploring the network structure of legal concepts in Supreme Court headnotes.</description><pubDate>Mon, 18 Apr 2011 12:00:00 GMT</pubDate><category>Research</category><category>research</category><category>network-analysis</category><category>computational-law</category><category>data-science</category></item><item><title>Now in Print: An Empirical Survey of the Population of U.S. Tax Court Written Decisions</title><link>https://bommaritollc.com/insights/tax-court-empirical-survey/</link><guid isPermaLink="true">https://bommaritollc.com/insights/tax-court-empirical-survey/</guid><description>Announcing the publication of an empirical analysis of U.S. Tax Court citation practices from 1990 to 2008 in the Virginia Tax Review, examining Internal Revenue Code citation frequency and the impact of tax legislation on court decisions.</description><pubDate>Fri, 15 Apr 2011 12:00:00 GMT</pubDate><category>Research</category><category>computational-law</category><category>research</category><category>tax-law</category><category>data-science</category><category>network-analysis</category></item><item><title>Building a Better Legal Search Engine, Part 1: Searching the U.S. Code</title><link>https://bommaritollc.com/insights/building-legal-search-engine/</link><guid isPermaLink="true">https://bommaritollc.com/insights/building-legal-search-engine/</guid><description>An introduction to indexing and searching the U.S. Code using Apache Lucene, structured public domain data, and open source software.</description><pubDate>Sun, 10 Apr 2011 12:00:00 GMT</pubDate><category>Research</category><category>legal-tech</category><category>search-engine</category><category>java</category><category>natural-language-processing</category><category>open-source</category></item><item><title>Deaths per TWh (terawatt-hour) by Energy Type</title><link>https://bommaritollc.com/insights/deaths-per-twh-terawatt-hour-by-energy-type/</link><guid isPermaLink="true">https://bommaritollc.com/insights/deaths-per-twh-terawatt-hour-by-energy-type/</guid><description>The chart says it all, with nuclear winning by two orders of magnitude (via ManyEyes (http://www-958.ibm.com/software/data/cognos/manyeyes/visualizations/2e5d4dcc4fb511e0ae0c000255111976/)).</description><pubDate>Wed, 16 Mar 2011 12:00:00 GMT</pubDate><category>Archive</category><category>finance</category><category>politics</category><category>society</category><category>technology</category></item><item><title>Christoph Gohlke&apos;s Windows Python Packages</title><link>https://bommaritollc.com/insights/christoph-gohlkes-windows-python-packages/</link><guid isPermaLink="true">https://bommaritollc.com/insights/christoph-gohlkes-windows-python-packages/</guid><description>Last night, I spent a few hours configuring a new OCZ Vertex 2 (http://www.ocztechnology.com/ocz-agility-2-sata-ii-2-5-ssd.html) on my M4500 (http://www.dell.com/us/business/p/precision-m4500/pd), my primary workstation.</description><pubDate>Wed, 02 Mar 2011 12:00:00 GMT</pubDate><category>Archive</category><category>programming</category><category>python</category></item><item><title>Tracking the Frequency of Twitter Hashtags with R</title><link>https://bommaritollc.com/insights/tracking-twitter-hashtags-r/</link><guid isPermaLink="true">https://bommaritollc.com/insights/tracking-twitter-hashtags-r/</guid><description>An R script for downloading and plotting the frequency of Twitter hashtags over time using ggplot2.</description><pubDate>Mon, 21 Feb 2011 12:00:00 GMT</pubDate><category>Archive</category><category>r-programming</category><category>data-visualization</category><category>social-media</category><category>twitter</category></item><item><title>Plotting 3D Graphs with Python, igraph, and Cairo</title><link>https://bommaritollc.com/insights/3d-graphs-python-igraph-cairo/</link><guid isPermaLink="true">https://bommaritollc.com/insights/3d-graphs-python-igraph-cairo/</guid><description>A demonstration of how to generate 3D network animations using Python, igraph, and Cairo, applied to a Twitter user graph.</description><pubDate>Mon, 21 Feb 2011 12:00:00 GMT</pubDate><category>Archive</category><category>python</category><category>network-analysis</category><category>data-visualization</category><category>graph-theory</category></item><item><title>OCR&apos;d Exhibit A - List of Closing Stores from Borders Chapter 11 Filing</title><link>https://bommaritollc.com/insights/ocrd-exhibit-a-list-of-closing-stores-from-borders-chapter-11-filing/</link><guid isPermaLink="true">https://bommaritollc.com/insights/ocrd-exhibit-a-list-of-closing-stores-from-borders-chapter-11-filing/</guid><description>Here&apos;s an OCR&apos;d version of the list of Borders stores that are closing.</description><pubDate>Wed, 16 Feb 2011 12:00:00 GMT</pubDate><category>Archive</category><category>finance</category></item><item><title>Pre-processing text: R/tm vs. python/NLTK</title><link>https://bommaritollc.com/insights/pre-processing-text-rtm-vs-pythonnltk/</link><guid isPermaLink="true">https://bommaritollc.com/insights/pre-processing-text-rtm-vs-pythonnltk/</guid><description>Let&apos;s say that you want to take a set of documents and apply a computational linguistic technique.</description><pubDate>Wed, 16 Feb 2011 12:00:00 GMT</pubDate><category>Archive</category><category>language</category><category>programming</category><category>python</category><category>r</category></item><item><title>Dataset: 5 Days of #25bahman</title><link>https://bommaritollc.com/insights/dataset-5-days-of-25bahman/</link><guid isPermaLink="true">https://bommaritollc.com/insights/dataset-5-days-of-25bahman/</guid><description>What do 88,831 tweets about protest and revolution in Iran look like?</description><pubDate>Tue, 15 Feb 2011 12:00:00 GMT</pubDate><category>Archive</category><category>data</category><category>language</category><category>society</category><category>technology</category><category>twitter</category></item><item><title>Plotting a Revolution: Time Series Comparison of #feb12 vs. #fev12</title><link>https://bommaritollc.com/insights/plotting-a-revolution-time-series-comparison-of-feb12-vs-fev12/</link><guid isPermaLink="true">https://bommaritollc.com/insights/plotting-a-revolution-time-series-comparison-of-feb12-vs-fev12/</guid><description>I wondered yesterday whether one of the Algeria/Yemen hashtags would dominate (http://www.michaelbommarito.com/blog/2011/02/13/twitter-hashtag-battle-royale-febfev12-vs-12febfev/).</description><pubDate>Mon, 14 Feb 2011 12:00:00 GMT</pubDate><category>Archive</category><category>computing</category><category>politics</category><category>research</category><category>society</category><category>twitter</category></item><item><title>Twitter Hashtag Battle Royale - #(feb|fev)12 vs. #12(feb|fev)</title><link>https://bommaritollc.com/insights/twitter-hashtag-battle-royale-febfev12-vs-12febfev/</link><guid isPermaLink="true">https://bommaritollc.com/insights/twitter-hashtag-battle-royale-febfev12-vs-12febfev/</guid><description>Algeria and Yemen seem to be pushing a #feb12 (http://twitter.com/#!/search/%23feb12) revolution hashtag like Egypt&apos;s #jan25 (http://twitter.com/#!/search/%23jan25) tag.</description><pubDate>Sun, 13 Feb 2011 12:00:00 GMT</pubDate><category>Archive</category><category>language</category><category>society</category><category>technology</category><category>twitter</category></item></channel></rss>