The proliferation of the Cloud is not relenting. Your firm will (and
should) make the move. Since it’s not a question of “if,” but
“when,” best to be prepared. Integrating Information Governance
technology as part of your cloud transition will provide both quick
wins (e.g., defensible disposition) and long term strategic
advantages (e.g., data security).
Law firms and other advisory firms are entrusted with a client’s
most sensitive data, yet, these advisors are storing client data in
risky locations with inadequate security, unnecessarily exposing it
to inadvertent disclosure.
The Rational Enterprise eDiscovery Playbook is an instructional
guide for counsel and consultants on how to best leverage the
Rational Enterprise software suite to effect proper Information
Governance, Discovery Response, and Evidence Management at a client
organization.
Recent advances in search, categorization and document management
technology have made it possible for companies to move beyond the
archiving everything mindset to a model that is far more targeted
and ensures that the right documents are kept for the right amount
of time, and that documents which have reached their end-of-life are
fully and defensibly deleted.
Automatic document classification has become a necessity for any
large enterprise. The exponential growth of unstructured data
combined with the marked increase in litigation, security and
privacy rules have left organizations utterly unable to cope with
conflicting demands of the business, lawyers and regulators. Support
Vector Machines (SVM) is a mature and well understood technology
founded on years of work in statistical learning theory. It is
accurate, scale-able, predictable and auditable; and as such is an
ideal match for the burgeoning corporate demand for automatic text
and document classification.
It is imperative that law firms work closely with their clients well
in advance of any litigation and provide the advice and guidance
needed to ensure that the client is truly prepared to respond
efficiently and effectively to discovery.
Many judges and lawyers might start by asking whether they can trust
machine learning to replace traditional legal review by contract or
staff lawyers in complex litigation. In fact, the first question
should be: how can we allow the current culling and manual review
process to continue when we know that it cannot begin to fulfill
legal obligations to the courts and to clients?
