Sentences with phrase «structured legal data»

If we want to support the linked open data initiative and be part of this emerging global database we should be working towards adding our structured legal data to the open cloud of linked data.

Scott enjoys working with structured legal data, and in particular legal finance data, to produce striking visual dashboards and reports for those with responsibility for Legal Operations.

Not exact matches

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact of future sales of its common stock in the public markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements of the Company's consolidated financial statements; and other factors.

This research brief describes the legal and operational structure of the Texas longitudinal data system related to recent changes in the Family Educational Rights and Privacy Act of 1974 (FERPA)-- which establishes the rights of parents to access their children's educational records and protects the confidentiality of student information — that more closely align law and practice.

The legal industry sits atop one commentator's list of industries that need big data — and need to understand it.6 Law firms and attorneys are sitting on a gold mine of BI data and past case data that can guide decision - making, boost case outcome successes, increase profitability and inform pricing structures, and more efficiently distribute their human capital.

Axiom will initially embed Kira into its M&A Diligence and Integration offering to source relevant clauses from those contracts, thus enabling more efficient interpretation and structuring of contract data, which underlies the insights Axiom provides to its clients» legal and business users.

The Asia Business Guide — Philippines provides a thorough framework of the economic and legal structures of Philippines, covering topics such as law, government, taxation, investing, regulation, import and export, labor, intellectual property, dispute resolution, insurance and data privacy.

Through the lens of legal information and based on the sessions I attended Saturday, the thing I would like to discuss further is developing expertise in analyzing and explicating existing datasets and creating the structures to collect new data about the legal system to assist in evaluating the effectiveness of programs and demonstrating what aspects of existing programs are most effective.

Chapter 2 presents some overarching background detail on the European legal framework for privacy and data protection, noting: the former European «pillar structure»; relevant legal instruments and the differences in conceptualisation of privacy between common law and civil code countries.

Through the lens of legal information and based on the sessions I attended Saturday, the thing I would like to discuss further is developing expertise in analyzing and explicating existing datasets and creating the structures to collect new data about the legal system to assist in evaluating the effectiveness of programs and demonstrating

It can import / export structured data, connect to current databases using built - in connectors, work with imported data from crawled or public sources and from vLex's own legal information resources.

Law firms are creating expert systems, hiring data scientists, starting legal tech venture funds, and structuring their data for better analysis.

Participants will be invited to design various tools to support online courts — for example, tools to help litigants structure their legal arguments, organise their documents, negotiate settlements without advisers, improve access to legal advice as well as systems that will promote open justice and even machine learning solutions that will help analyse all the data generated by the online courts.

Some examples of what is happening in the legal profession is ROSS, the legal research tool which extracts facts from over a billion documents in a second, and RAVN ACE, a computer platform able to convert unstructured data into structured information within hours.

Skipping here an explanation of the basics of machine intelligence provided by Professors Remus and Levy (including a look at structured v. unstructured data and its potential for automation — it's worth a look), the paper looks at the potential for current or near - term automation of six categories of lawyering tasks — document and case management; document review; document preparation; legal research and reasoning; interpersonal communication and interaction; and courtroom appearances.

Participants will be invited to design various tools to support online courts — for example, tools to help litigants structure their legal arguments, organise their documents, negotiate settlements without advisers, as well as systems that will promote «open justice» and machine learning solutions that will help analyse all the data generated by the online courts (these examples were drawn, in part, from discussions with HM Courts & Tribunals Service).

Legal Sifter uses natural language processing (NPL) & machine learning, to process unstructured raw terms, conditions & words into well - structured data & insights ready to be used to make quick & well informed decisions, saving both time as well as money for both attorneys and anyone facing the reading and interpretation of one or more legal agreemLegal Sifter uses natural language processing (NPL) & machine learning, to process unstructured raw terms, conditions & words into well - structured data & insights ready to be used to make quick & well informed decisions, saving both time as well as money for both attorneys and anyone facing the reading and interpretation of one or more legal agreemlegal agreements.

Pinsent Masons already has scientists and engineers working with lawyers on categorising clauses and data within legal documents and structuring AI legal assessment questionnaires.

The same pattern - searching across both the text of legal invoices and the structured billing and time data is what enables Watson to reveal just how inefficient law firms are being in certain areas.

Thus, unlike conventional (non-AI) applications that can only process «structured» data, AI - based applications can understand and analyze written documents such as contracts, emails, and legal filings.

One of the ways in which legal analytics structures raw litigation data is to apply case tags to it with commercial - specific findings.

Offshore tax havens can be used in legal ways, but most of the data leaked points towards illegal structures that hide the true owners of recorded money, where it's from and facilitate the evasion of tax on national shores.

Some additional distinctions between Liam Brown's «law company» and the traditional law firm include: (1) performance and reward structures that value output over input; (2) closer alignment with the financial and enterprise objectives of the consumer; (3) a corporate structure that takes a long - term, client - centric view over profit - per - partner; (4) continuous process improvement; (5) investment in technology; (6) focus on «the right resource for the task»; (6) compressed delivery time; (7) a continuous quest to use technology and process to automate tasks and gather «big data» for benchmarking, predicting, and quantifying risk; (8) a transparent, 24/7/365 accessible connection with legal consumers; (9) supply chain management expertise; and (10) reduced cost.

Legal analytics relies on advanced technologies, such as machine learning and natural language processing, to clean up, structure, and analyze raw data from millions of case dockets and documents.

FutureTech Podcast - LegalSifter uses natural language processing (NLP) & machine learning, to process unstructured raw terms, conditions & words into well - structured data & insights ready to be used to make quick & well informed decisions, saving both time as well as money for both attorneys and anyone facing the reading and interpretation of one or more legal agreements.

Legal machines give lawyers the structure we need A final post on the role of technology in the invoice review process with an emphasis on structured data and data quality.

This is the first time such a large - scale data roaming arrangement has been put in place in South Africa, therefore Bowmans had to ensure the legal and technical components of the transaction structure were ironclad in order to successfully counter any objections from Vodacom's competitors (other operators may now adopt similar arrangements).

These further helps to frame better recruitment, assist in structuring better compensation data, help in planning of people for filling voids, arranging training, development program & performance evaluation and last of all meet the legal requirements.

The evolution of the Internet has made it seem simple to find background information about people, but the accuracy of that data is sometimes questionable and the legal structures that guide how it can be used are complex.

The associate's degree program delivers a curriculum structured to provide data collection, registrar and legal training for medical settings.

Three main sources of data gathering were used in the present study: survey methods using structured questionnaires that were devised specifically for this study; semi-structured interviews with Indigenous litigants; and input from focus group participants that consisted of open discussion with representatives of government and non-government agencies, Aboriginal community controlled agencies and private legal practitioners.