Solutions Specialist (Legal Technology)

Key Responsibilities:

1. Custom AI Development:

• Work closely with lawyers and stakeholders to understand their needs and translate them into technical specifications.
• Design, develop, and implement generative AI tools to support legal work and other business use cases.
• Fine-tune large language models for legal-specific applications where required or applicable
• Analyse business requirements and develop other custom software applications or tools that enhance legal processes and improve efficiency.

1. System Integration:

• Integrate generative AI tools and other custom solutions with existing systems and ensure seamless functionality across various platforms.
• Develop APIs and workflows for integration across platforms

1. Testing and Quality Assurance:

• Conduct thorough testing of developed solutions to ensure functionality, reliability, and user satisfaction. This includes ensuring AI models adhere to compliance, confidentiality and data security standards.
• Gather feedback, iterate and improve performance.

1. Documentation: Create and maintain comprehensive documentation for developed solutions,

1. Training and Support: Provide training and ongoing support to users.
2. Research and Innovation: Stay up to date with emerging technologies and legal tech trends

to continually identify opportunities for innovation within the firm.

Qualifications:

• Bachelor’s or Master's degree in Computer Science, Data Science, Information Technology, or a related technical field. A law degree or legal experience will be advantageous.
• 3 to 5 years of technical experience in a software development, systems analyst or related discipline preferably in the legal industry or a professional services environment.
• Proven track record of managing big data / data mining using analytical tools.

Experience:

• Proficiency in AI/ML frameworks, with understanding and ability to implement

1. emerging technologies, distributed and highly scalable computing architecture, multi-cloud,
2. hybrid, server-less computing and advanced analytics;
3. big data and machine learning technologies; and
4. workflow methodologies.

• Strong programming skills (e.g., Python, Java, Swift, Go) and familiarity with relevant frameworks and tools
• Experience with training large language models
• Experience in mobile app / full stack development
• Excellent communication skills, both written and verbal

We look forward to receiving your applications. Please note that only shortlisted applicants will be notified.

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