The expansion of ELM as a practice management strategy was fostered by the growth of ELM software. That growth, in turn, was made possible through the expansion of the Internet and adoption of SaaS platforms across a wide range of industries. Total revenue of all SaaS providers accelerated into the 2010s, with the
International Data Corporation (IDC) forecasting revenue to grow from $22.6 billion to $50.8 billion during 2014–18. ELM software primarily supports matter management and electronic billing, with derived analytics and reporting guiding legal department business processes. As of 2013, the maturity level of the industry was characterized as early mainstream, with market penetration of less than 20%. A Blue Hill Research report stated that economic motivations have encouraged adoption, with an average return on investment of 766%; median spend contraction of 4.5% from automated processing and rejection of nonconforming invoices; and median recurring annual spend reduction of 4% from use of analytics to support data-driven spend management. Variables affecting the purchase of ELM software include considerations of license type, usage scope, maintenance and support, installation location, and license fee calculation. Vendors employ a range of licensing practices, with no model inherently advantaged or disadvantaged.
Components of ELM software Matter management Matter management includes the storage and retrieval of all data related to matters handled by a legal department, including the creation, revision, approval, and consumption of legal documents. Matter management is used to facilitate document collaboration internally and with outside counsel. In complex legal matters such as
mass tort litigation, ELM software provides matter management capabilities such as batch uploading of invoices to expedite review and approval.
Electronic billing Electronic billing provides a centralized repository for legal bills and invoices, and a method to deliver those bills securely for review and payment. ELM software integrates with internal electronic billing software through the
Legal Electronic Data Exchange Standard (
LEDES) format, which has standardized the transfer of legal data. Development of LEDES in the late 1990s was supplemented by the
American Bar Association’s creation of
Uniform Task-Based Management System (
UTBMS) to establish consistent coding of services by outside counsel. Electronic billing automates review for compliance errors, allocation to cost centers, and routing for approval. Independent research suggests that it reduces costs by decreasing manual labor and paper costs.
Analytics and business process management Matter management and electronic billing data collected by ELM software is used to generate reports and provide analytics that influence
business process management within legal departments. According to a
Gartner survey, CLOs increasingly focus on regulatory compliance, customer and stakeholder satisfaction, and risk management. Efforts to reduce legal spend center on the reduction of outside counsel costs, achieved through the negotiation of
alternative fee arrangements, increased reliance on internal counsel, and convergence of outside counsel. Use of flat fees for entire matters grew from 12 to 20% during 2013–15, with larger legal departments—those serving companies with at least $4 billion in annual revenue—more than twice as likely to use a flat fee structure compared to companies with less than $100 million in annual revenue. Legal departments use analytics to inform these budgeting and forecasting decisions, with the selection of outside law firms based on tradeoffs between cost and attorney performance. Internal historical billing data and industry benchmarks identify trends and differences among providers, and average fees associated with matter types. Some ELM software vendors offer comparative metrics harvested from subscribers. Recent developments within ELM software include the utilization of
machine learning and
artificial intelligence in order to predict claims costs. These types of predictions are intended to reduce insurer's
combined ratio by driving early settlements for claims likely to carry a greater than average cost. ELM vendors that offer these predictive claims include LSG, Jalubro and
Thomson Reuters. Early data regarding return on investment of predictive data analytics suggests average legal spend reductions of 6-11% == See also ==