Tag Archives: Haistack

AI-Powered Legal Recruitment: Revolutionize Your Law Firm with haistack.ai

Haistack – Law Firm, developed by Michael Heise, in partnership with Lateral Link, Haistack – Law Firm greatly simplifies and enhances the process of sourcing candidates for attorney roles. It also helps firms identify which of their current lawyers are likely to be in high demand in the lateral marketplace, enabling more targeted retention efforts.

Making recruiting and retention more efficient and effective

Traditional mechanisms for sourcing lateral candidates are laborious and slow. Recruiters typically conduct LinkedIn keyword searches and ask contacts in their network to suggest potential candidates. Haistack – Law Firm replaces a process that often takes a couple of weeks with one that requires only a couple of clicks. Firms can manually add jobs, that are not posted publicly, and our AI takes minutes to return a list of best candidates not only for the job but for the firm also. This process would normally take days.

Haistack – Law Firm uses machine learning to identify the best candidates for a specific attorney role. The tool aggregates publicly available attorney, firm, and law firm job data from across the internet and enriches it with proprietary Lateral Link data. The goal is not merely to find candidates who have the necessary seniority in the relevant practice area and geographic market. Rather, Haistack – Law Firm also identifies those likely to be cultural fits by analyzing the profiles of a firm’s current attorneys and highlighting similarities between that current pool and a potential candidate. Where did the candidate go to law school? Did they write for a journal? Did they graduate with honors? Haistack – Law Firm considers factors like these and illustrates specific connections between a candidate and a firm. When recruiters or hiring partners review the Haistack – Law Firm output, they are presented with the estimated strength of fit for each identified candidate and the logic underlying that determination. All these characteristics are badged on a candidate profile and seen by the users of Haistack – Law Firm.

Based on the connections that Haistack – Law Firm highlights, strategies for contacting high-potential candidates who have not yet applied are immediately apparent. A recruiter can turn to a current lawyer at the firm who is connected to a potential candidate both to validate the prediction of a strong match and to help reach out to the candidate and sell them on the role. Not only does Haistack – Law Firm reduce the time to identify candidates, but it also makes the process of cultivating them more efficient and effective.

Haistack – Law firm provides an additional source of insight to assist with retention. Given the tool’s ability to identify external lawyers who would be strong lateral candidates, it equally can determine which members of a firm’s current attorney pool are a likely flight risk, based on compatibility between their profiles and opportunities in the wider marketplace. This early warning will prompt firms to evaluate how much they value at-risk talent, while there is still time for affirmative steps to retain critical team members who are in high demand.

Shorter time to fill vacancies = less foregone profit

Filling vacant attorney roles efficiently makes a substantial difference to a law firm’s profits. As we have previously explored, a single sixth-year associate slot left vacant for 30 days could cost $117,329 in lost profits. The estimated loss escalates to $351,986 if the vacancy remains open for 90 days. With figures like these at stake, the business case for investing in a more efficient recruiting process is obvious.

85% of roles for which Lateral Link is the recruiter are filled within 60 days. With the help of Haistack – Law Firm, we estimate that we can reduce the expected time to fill from 60 days to 50. In the case of a sixth-year associate, this equates to a savings of $39,110.

Let’s imagine a firm with two vacancies: one for a sixth-year associate and another for a fifth-year associate. If we assume that Haistack – Law Firm helps fill these vacancies in 10 days less time than would otherwise be required, the firm will achieve savings of $39,110 (sixth-year) + $37,774 (fifth-year) = $76,884. That savings exceeds the cost of a Haistack – Law firm subscription ($75,000 for up to 5 users).

For law firms, time really is money. Traditional recruitment processes just don’t cut it—especially when your competitors have embraced more sophisticated alternatives. Haistack – Law Firm is the new way to recruit: swift, precise, and effective. Is your firm ready to operate at the forefront of recruitment innovation?

Applying AI to Legal Recruiting: New Tools for Efficiently Matching Firms and Candidates

With everyone talking about ChatGPT and the implications of AI tools for the future of various professions, now is an opportune time to consider how AI might change legal recruiting. We at Lateral Link have been actively engaging with this question for years: in fact, we have a sister company called Haistack.AI that is developing AI products for the legal recruiting industry.

So for the latest episode of the Movers, Shakers & Rainmakers podcast, we invited Haistack.AI Chief Technology Officer Michael Heise to discuss the possibilities and limitations of AI for law firms and legal recruiters. Mike educated us on the likely implications of AI for our industry and described the logic behind the product that Haistack.AI is currently building.

Mike is a seasoned legal tech innovator with a deep understanding of Biglaw firms. Prior to joining Haistack.AI, Mike held software leadership roles at Cooley and Covington & Burling. As he explained on the podcast, he is married to an attorney, and it was his wife who first sparked his interest in legal sector innovation.

AI can be a valuable tool

Mike explained that AI has the potential to assist lawyers with a broad range of tasks. For example, a litigator could rely on AI tools to set out the basic structure of a brief, allowing the lawyer to dedicate more of her time to the higher-value tasks of refining arguments and tailoring them to be most persuasive based on the unique facts of the case. As Mike puts it: “AI is not going to replace you. The person who knows how to effectively use AI is going to replace you.” AI tools will become increasingly sophisticated, but human judgment will remain essential for crafting the strongest and most original arguments.

Similarly, AI is well suited to help recruiters—both within firms and outside them—to more efficiently identify high-potential candidates. By reducing the time a recruiter spends on manually trawling through candidate profiles, AI can enable the recruiter to gain a deeper understanding of the high-potential candidate pool and the relative strengths of the candidates within that pool.

The Haistack.AI vision

As an example of how AI promises to make recruiting more targeted and efficient, Mike described the product that the team at Haistack.AI is building. It entails creating three essential models: (1) profiles of lawyers currently working at the firm that is using Haistack.AI in its hiring process; (2) profiles of lawyers working outside that firm; and (3) profiles corresponding to the specific roles for which the firm is recruiting. By comparing the profiles of lawyers previously hired by the relevant practice group and office with the profiles of external lawyers, the algorithm can instantly generate a list of high-potential candidates and an explanation for why those candidates appear to be a good fit. Moreover, the AI will use Lateral Link data to screen out candidates whom the firm has previously considered and determined not to be a fit. Finally, the tool will give some indication of the extent to which the leading candidates are likely to be in demand at other firms seeking to fill similar vacancies, alerting the hiring firm to the need to move quickly where a candidate is likely to be in especially high demand.

With the assistance of the Haistack.AI tool, the recruiter managing the search will immediately see how the algorithm matched a candidate’s qualifications and experience to those of current members of the group. This is where human judgment comes in. The AI accelerates the first step of identifying a shortlist, but the law firm’s recruiting and attorney professionals must assess whether the shortlist fits their needs, through interviews and other more traditional evaluations.

Mike noted that in addition to generating lists of promising candidates, the Haistack.AI tool could also help identify current members of a firm who are in especially high demand relative to what the broader lateral market is seeking. In alerting a firm to attorneys who are at greater risk of leaving, the tool can help nudge a practice group to be more proactive about taking steps to keep valuable team members happy.

AI is not a panacea

Mike also explained the importance of recognizing the limitations of AI and of not buying into the excessive hype that frequently surrounds promising technologies in their early stages. AI will not solve all hiring problems. To take just one example, the inputs for AI models like the ones that Haistack.AI are building are composed of historical data — the models are designed to replicate the firm’s past hiring decisions. To the extent the past hiring was suboptimal, such as through failing to hire qualified diverse candidates, the AI tool will not correct the problem. Instead, it is important for the human users to be thoughtful about patterns in past hiring that they do not wish to replicate and make an active effort to change them.