Symphony is a web-based platform for occupied REO that goes beyond
case management and offers more than the standard eviction tracking
functionality found in most default systems. It provides event management,

workflow automation, quality assurance, and auditing capabilities that
uniquely leverage Jackson & Associates' extensive background in post-foreclosure
law.
Designed to work either independently of or in conjunction with
existing default technology, clients who retain Jackson & Associates
to manage their post-foreclosure legal matters nationwide are able
to use Symphony to manage every aspect of occupied asset recovery – starting
from initial assignment all the way through to vacancy.
Transparent and cross-functional
Gaining possession of an occupied asset requires flawless coordination
across a set of disparate business functions:
- legal process management: evictions, post-vesting bankruptcies, litigation, personal property issues
- loss mitigation: cash-for-keys, sales to occupants
- property preservation: regular vacancy checks, securing vacant properties, assessing code violations
In addition to providing integrated support for these business functions,
Symphony makes it possible for everyone involved in property recovery – regardless
of function – to share and manage information seamlessly using the
same robust, unified platform. This approach means that Symphony users
are a diverse group, including J&A clients, their outsourcers and/or
or sub-servicers, as well as assigned brokers; involved investors; and
formally recognized J&A co-counsel and their staff nationwide.
Innovative business intelligence
Symphony is backed by the industry’s largest post-foreclosure database,
over 15,000 cases large and more than 500,000 data points in size. Patent-pending
process models use this data to deliver the industry’s best business
intelligence for occupied REO, including:
- performance benchmarking for contested evictions, bankrupcy management,
even litigation
- reliable and accurate exception identification
- dynamic and data-driven projections of time-to-completion that take individual case details into account