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Osler, Hoskin & Harcourt LLP is seeking an AI Workflow Lead with legal practice experience to help our lawyers turn ideas into working AI solutions.
Reporting to the Director, AI & Technology, this role sits at the intersection of legal practice, applied AI, and knowledge engineering, and is responsible for managing the intake and delivery of AI agent and workflow initiatives across the firm’s practice groups.
Osler, Hoskin & Harcourt LLP is one of Canada’s leading business law firms. Advising many of Canada’s corporate leaders, as well as U.S. and international parties with extensive interest in Canada, our more than 1,000 firm members are based in offices in Toronto, Montréal, Ottawa, Vancouver, Calgary and New York.
Osler prides itself on attracting and maintaining some of the brightest talent in the legal arena. Our lawyers, students, management and staff have created a unique firm culture which nurtures mentoring and the exchange of ideas. Osler is a dynamic and exciting place to begin a career or carve out a new path.
We are seeking a hands‑on and technically savvy AI Workflow Lead with legal practice experience to help our lawyers turn ideas into working AI solutions. Reporting to the Director, AI & Technology, this role sits at the intersection of legal practice, applied AI, and knowledge engineering, and is responsible for managing the intake and delivery of AI agent and workflow initiatives across the firm’s practice groups. The successful candidate will work directly with lawyers to scope, build, and track solutions using firm‑approved platforms.
This job posting is for an existing vacancy.
Education and Experience
This position requires a J.D., bachelor or graduate degree in a related field (e.g., business administration, computer science, data science, knowledge management), with ideally 1-3 years of experience working in or closely with a legal practice environment (e.g., legal practice, legal operations, legal technology, or in‑house innovation). Experience in a professional services environment is an asset. An equivalent combination of education, training and experience may be acceptable.
Knowledge and Skills
Compensation will be determined based on a variety of factors including year of call, job‑related knowledge, education, skills and experience.
We are currently working in a hybrid work arrangement, which includes a requirement to work primarily in the office and flexibility to work remotely up to 2 days per week.
We thank all applicants for their interest in Osler; however, only chosen applicants will be contacted. Osler is committed to fostering a diverse and inclusive work environment, and we welcome and encourage applications from people with disabilities and people with diverse backgrounds, identities, and cultures. Accommodations are available upon request for candidates in all phases of the selection process.
Please note that any offer of employment will be conditional upon background and reference checks, including a criminal record check, credit check, and employment and educational verifications.
Please note that we use artificial intelligence to screen, assess or select applicants for the position.