Raydar Logo

Raydar

Associate Lawyer, Business Development

Posted 10 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Junior
In-Office
Toronto, ON, CAN
Junior
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.
The summary above was generated by AI

About the company

Our client is a law firm.

The role

Raydar is recruiting for this role on behalf of our client. Advise prospective clients from first conversation through to signed engagement, assessing their circumstances and explaining their options. The role combines legal judgment with a results-linked sales function and daily use of AI tools to research, follow up and manage a pipeline.

What you'll do

- Advise prospective clients, assess their circumstances and explain their options.

- Own each client relationship from first conversation through to signed retainer, coordinating with the team that handles the matter.

- Carry a revenue target after a ramp period, with training and support provided.

- Use AI tools daily to research, prepare, follow up and manage your pipeline.

- Test internal tools in production and report gaps to engineering teams.

- Build playbooks and training materials.


Requirements

What we're looking for

- Practising lawyer admitted in Canada, with one to three years since call to the bar; registered Canadian immigration consultants may also apply.

- JD or LLB from a recognized law school.

- Strong communication skills, with the ability to explain complex matters clearly and build trust quickly with anxious first-time clients.

- Willing to work in a client-facing role where earnings depend heavily on results; a sales track record is not needed.

- Hands-on experience using Claude, ChatGPT or similar AI tools.

- Ability to assess a person's situation and lay out options clearly.

- Energy for talking with people throughout the day.

- Quick learner who thrives in a fast-moving startup environment.

Bonus points

- Canadian immigration practice experience.

- Client-facing experience such as consultations, intake or advising.

- Direct sales experience.

- Experience with CRM or pipeline tools.


Benefits

Compensation and benefits

- Base salary: CAD 80,000 to 100,000 per year

- Uncapped commission

- Extended health coverage

- 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

- In-office days not specified

- Full-time

Similar Jobs

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
2 Hours Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.
Top Skills: Agentic AiAmazon Web Services (Aws)Apache AirflowGenerative AiGoogle Cloud Platform (Gcp)Large Language Models (Llms)Natural Language Processing (Nlp)PythonPyTorchSnowflakeTransformer Models

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