Data-driven knowledge management for law
LexSemble enables data-driven knowledge management for law out of
the box. Areas like litigation, M&A, and regulatory approval have pre-configured KM
objects and workflows. Unlike other KM tools, LexSemble approaches
the task by focusing on the following KM concepts:
Many knowledge management systems would be better described as
opinion or story management systems. LexSemble helps you
and discover knowledge, not just store it.
For example, many expert directories or competence
systems rely solely on self-reported or second-hand information. While LexSemble can function
as a simple directory, it also has the capability to discover and update these directories
automatically over time based on the accuracy of an individual's forecasts, their KM
and other available data streams.
Many KM systems are collaborative in that they allow multiple users to edit
a single knowledge entry. Few KM systems, however, are collaborative in that they allow for
one knowledge entry to reflect the internal diversity of opinions in a structured fashion.
LexSemble is built on ensembles of people and facts, allowing users to represent and drill down
into complex issues.
For example, risk management strategies rely on understanding the range and
relative likelihood of outcomes. Most KM systems focus on presenting only a single expert's
of reality, which may result in unanticipated or surprising outcomes when this expert's view
is not broad enough. LexSemble is designed to help you anticipate the unanticipated or
unlikely by helping to identify and present the variety of opinions that may exist.