Focus on attracting candidates with AI capabilities: As AI becomes central to legal processes, you’ll need professionals with skills in technology. AI competency is also attractive because it enables new hires to ramp up quickly and begin adding value much faster as a result. Expand your hiring profiles and offer incentives to attract candidates who bring expertise in AI and machine learning. Establish innovation teams for exploration and testing: These teams are tasked with several responsibilities around innovation: identifying opportunities to use AI in different practice areas, addressing technical and ethical concerns and ensuring consistency. Many larger firms already have innovation teams in place whose responsibilities can be expanded to include AI innovation. Evolve traditional roles to include AI competencies: Integrating AI into existing roles ensures that legal professionals can adapt to AI-driven workflows without disrupting familiar legal functions. Invest in training programs to upskill your existing employees in AI as well as supporting skills like business process definition, analysis and optimisation. This approach will facilitate a smoother transition to AI adoption. Create policies around the use of AI to reduce risk: Risks must be addressed when using AI for legal work. Official policies should cover regulatory compliance, client consent and communication, vendor vetting, human oversight to ensure accuracy and relevance, etc. Establish change management and organisational readiness: Encouraging AI adoption requires a shift in organisational culture and mindset. Develop change management programs that include clear communication, training and support to help employees adapt to and benefit from AI tools. By preparing, enabling and encouraging team members to use AI, you can minimise resistance, boost morale and ensure smoother integration of AI into everyday operations. To position your recruiting to have a focus on AI, implement the following action items: How to Adapt Recruiting for AI Abilities and Knowledge Go to Form
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