Raydar Logo

Raydar

Business Development Lawyer

Posted 10 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Entry level
In-Office
Toronto, ON, CAN
Entry level
Convert inbound leads into signed legal client engagements while meeting personal revenue targets. Advise prospective clients, manage and forecast the sales pipeline, create sales and onboarding materials, mentor junior lawyers, and collaborate with product and engineering teams to automate intake and follow-up. The role requires daily use of generative AI tools and consultative sales skills.
The summary above was generated by AI

About the company

Our client is a legal services company.

The role

Raydar is recruiting for this role on behalf of our client. Convert inbound leads into signed client engagements as a licensed legal professional with a personal revenue target. The role combines advising prospective clients, consultative sales and pipeline management with building sales materials, mentoring colleagues and working with product and engineering teams to improve intake and follow-up. Daily use of AI tools is expected.

What you'll do

- Advise prospective clients who arrive through inbound channels and convert them into signed engagements.

- Own a personal revenue target and work to meet or exceed it without compromising quality or compliance.

- Create sales guides and onboarding material, and mentor junior lawyers on the team.

- Work with product and engineering teams to automate intake, qualification and follow-up.

- Use AI tools daily to manage the pipeline and test new platform tools in production.


Requirements

What we're looking for

- A law degree from a recognized university, or a regulated immigration consultant designation.

- A record of meeting or exceeding a revenue target in legal technology sales, law firm client origination, or private practice.

- Consultative sales skills across discovery, objection handling and closing.

- Persuasive, clear and concise communication with first-time clients.

- Comfort with a full calendar of client conversations.

- Experience managing a pipeline and forecasting against a number.

- Practical familiarity with widely used generative AI assistants.

Bonus points

- Canadian immigration practice experience.

- Experience coaching or training sellers, or building sales playbooks.

- A habit of thinking in workflows and processes.


Benefits

Compensation and benefits

- Base salary: CAD 130,000 to 160,000

- Uncapped commission

- Health, dental and vision coverage

- Flexible time off

Location and work model

- Toronto, ON, Canada preferred; Vancouver, BC, Canada or Ottawa, ON, Canada also considered

- Hybrid

- Full-time

Similar Jobs

10 Days Ago
In-Office
Toronto, ON, CAN
Junior
Junior
Professional Services • Consulting
Advise prospective clients, assess their legal circumstances, explain options, and guide them from initial consultation through signed retainer. Own client relationships, meet revenue targets, use AI tools to manage research and follow-up, test internal tools, report issues to engineering, and create playbooks and training materials.
Top Skills: Ai ToolsChatgptClaudeCrm And Pipeline Management Tools
2 Hours Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.
Top Skills: Ai Coding AgentsCi/CdGitLlm-Based Classification ToolingMetrics StorePythonReactSnowflakeSQLTypescript
Internship
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.
Top Skills: Deep LearningFoundation ModelsJaxOptimizationPythonPyTorchRepresentation Learning

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account