Hires Shaw, Jacobsmeyer, Crain & Claffey for workers' compensation defense, up to $200,000 a year

The district signs an engagement agreement with Shaw, Jacobsmeyer, Crain & Claffey Law Firm to provide legal defense in workers' compensation cases as needed. Payment is capped at $200,000 per fiscal year. The agreement runs from July 1, 2021 through June 30, 2023.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Pulled from the consent vote. Adopted in its own vote at this meeting (4–0, 1 abstaining), instead of with the rest of the consent report.

Apr 13, 2022 · Adopted (passed). A motion was made by Director Thompson, seconded by President Yee, that this Agreement or Contract be Adopted. The motion carried by the following vote:.

Samantha Pal Absent
Natalie Gallegos Chavez Absent
Aimee Eng Absent
VanCedric Williams Aye
Mike Hutchinson Abstained
Shanthi Gonzales Absent
Clifford Thompson Aye
Benjamin "Sam" Davis Aye
Gary Yee Aye

Vendor / partner: Shaw, Jacobsmeyer, Crain & Claffey Law Firm
Action: New agreement
Category: Legal, compliance & risk
Term: Jul 1, 2021 – Jun 30, 2023
This vote: $200,000
Funding: Fund 67, Risk Management
Presented by: General Counsel
File: 22-0770 · agenda V.-72
Outcome: Adopted, Apr 13, 2022

Official text

Approval by the Board of Education of Memorandum of Understanding and Engagement Policy by and between District and Shaw, Jacobsmeyer, Crain and Claffey Law Firm, for the latter to provide legal services to the District in the area of workers’ compensation defense law on an as needed basis, for the period of July 1, 2021 through June 30, 2023, in an amount not to exceed $200,000 per fiscal year.

History

Apr 13, 2022 Adopted

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.