Allan Bayda
Bayda Disability Law
Allan Bayda has successfully advanced hundreds of claims for disability benefits involving depression, severe anxiety and other psychological and psychiatric disorders. In addition he has handled disorders such as fibromyalgia, chronic pain, chronic fatigue. Most of the claims involve illnesses without obvious external signs or any objective medical evidence.
He has handled cases for denial of disability benefits involving heart conditions, cancer, multiple sclerosis, somatoform disorder, chronic regional pain syndrome, and other disabling conditions. He has also handled many Canada Pension Plan (CPP) Review Tribunals (now referred to as Social Security Tribunals), CPP Leaves to Appeal and CPP Appeal Board Hearings.
Allan was born in Saskatoon, Saskatchewan and was raised on a family farm outside of Saskatoon.
After high school, Allan obtained his university education at the University of Saskatchewan, Saskatoon.
In 1983 Allan graduated with a Bachelor of Law degree. In July 1984, Allan was admitted to the Law Society of Saskatchewan.
In 1989 Allan bought a partial interest in a Regina law firm. He practiced in Regina for 10 years. The firm name was Duchin, Bayda & Kroczynski.
Ten years later, in 1999 Allan decided to move to Alberta. He was admitted to the Law Society of Alberta in 1999 and moved to Calgary, Alberta, where he founded a two-lawyer law firm. Since 1997 Allan’s preferred area of practice has been long term disability insurance claims and Canada Pension Plan disability claims.
Allan is licensed to practice as a lawyer both in Saskatchewan and in Alberta and has appeared at various levels of court including the Court of Queen’s Bench and Court of Appeal in both Saskatchewan and Alberta. In 2012 the firm name was changed to Bayda Disability Law Firm.
Allan welcomes all potential clients. He treats clients with respect and open communication about the merits of their claim. Since files are taken on a contingency fee basis he will fairly and honestly review the claim to determine the likelihood of success.