Newly Redesigned ADR Toolbox Provides Free Online Resource for Alternative Dispute Resolution
USA/Canada News

ADR Toolbox logoSan Antonio lawyer and mediator Don Philbin announced today that his ADR Toolbox online resource has been redesigned and now includes over 7,500 items of content highlighting current developments in negotiation, mediation, and arbitration.  Authors and bloggers in the ADR space continue to send Philbin material to post on the site, and the database is constantly updated as relevant material is published and posted to the web. 

Philbin has been accumulating content for the ADR Toolbox database since 2007, having originally created, which was broadcast over social media.  The posted content covers subjects ranging from neuroscience to game theory to negotiation and, of course, mediation, arbitration and other forms of alternative dispute resolution (ADR) and online dispute resolution (ODR).

ADR Toolbox has been redesigned to better mine the extensive database of developments in ADR related practice areas.  Not only are the 7,500 resource items indexed and searchable, they are pre-categorized by topics of interest.  The most recent posts are featured on the front page and there is always a running list of the most recent developments in negotiation, mediation, and arbitration.   Authors who have published relevant works elsewhere are welcome to have them highlighted on the new by submitting content at the bottom of the home page.

Creator Don Philbin noted, “ADR Toolbox has been a labor of love from the beginning. I have always clipped articles that I thought would interest others and now technology allows us to curate those pieces so that many others can use it as a resource.”


In addition to his work as a lawyer and mediator, Mr. Philbin is president and founder of Picture It Settled®, a software company that recently launched the Picture It Settled® predictive analytics software for negotiation at LegalTech NY last month.  Picture It Settled® guides decision-makers through the negotiation process by quickly modeling anticipated reactions based on deep data from thousands of cases.  Users benefit from scenario planning, negotiation move planning, and offer projections. 

For more information about or to submit content, visit


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