Re-engage Hidden Legal Talent: Rediscover Missed Database Candidates
Unlock the potential of your existing database to fill vacancies faster and more cost-effectively.
Did you know that up to 70% of suitable legal candidates are already in your ATS, but never resurfaced? This not only wastes time and resources but also delays casework and client projects. AI solves this by automating candidate rediscovery and re-engagement.
The Legal Industry's Database Dilemma
Legal recruitment is a dynamic market, with high demand for specialists and a constant influx of new talent. Yet, your database could be hiding thousands of relevant profiles that slipped through the cracks due to manual errors or outdated search methods. According to REC research, this results in an average time-to-hire of 12 weeks and £5,000 per role.
How AI Rediscovery Works for Legal Recruitment
Our AI solution scans your database for passive legal candidates with skills matching current vacancies. It then automatically re-engages them via targeted emails or SMS, tracking responses and updating statuses in real-time. This integrates seamlessly into your existing workflow, minimising effort and maximising efficiency.
Revolutionise Legal Recruitment Results
By rediscovering missed database candidates, you can reduce time-to-hire by up to 50%, lower cost-per-hire by £2,000, and increase fill rates by 30%. Plus, our solution continually learns and improves its algorithms based on your team's interactions with re-engaged candidates.
Frequently Asked Questions
How does the AI handle duplicate candidate profiles?
Our system uses advanced matching algorithms to detect and merge duplicate profiles, ensuring no confusion or wasted effort in re-engagement.
Can I control which candidates are targeted for rediscovery?
Yes, you can set filters based on skillsets, last contact date, or other criteria to focus the AI's efforts on your most promising missed database candidates.
Is there a risk of overwhelming candidates with communications?
Our solution paces re-engagement communications intelligently, respecting candidate preferences and preventing notification fatigue.
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