An attorney emails your expert witness firm at 4:15pm on a Friday asking whether your forensic accountant has testified in Delaware Chancery Court on shareholder oppression cases. By the time someone on your team replies Monday morning with the right CV pages and a rate sheet, the lawyer has already retained someone else. The qualifying questions are repetitive across every inquiry: specialty match, jurisdiction admitted, prior testimony, conflict check, retainer amount, deposition availability. Your senior partner shouldn't be the one answering them six times a day.

SleekAI runs on your firm's WordPress site and reads the real CV data: each expert as a custom post type with postmeta for specialties, states_admitted, federal_courts, hourly_rate, retainer_minimum, and prior_testimony_count. When an attorney asks for a CPA who has testified in three or more federal trials on accounting malpractice, the bot filters your roster, surfaces two matches, quotes their rates, and offers next-available deposition windows from each expert's calendar postmeta.

Generic chat widgets can't do this. They don't know that a Daubert challenge means the inquiring attorney needs to see your expert's prior exclusion record, that an IME requires board certification in the relevant specialty, or that opposing counsel in a current matter is an automatic conflict. SleekAI's display conditions can also gate the bot behind a confidentiality acknowledgement so privileged case details aren't accidentally captured in logs, and the multibot feature lets you run one bot for plaintiff firms and another for defense without mixing referral patterns.

Expert witness retention is a speed business as much as a specialty business. Attorneys with trials approaching often contact three or four firms in a single afternoon and retain the one that confirms a specific qualified expert with an open deposition window first. A 48-hour reply window, which is normal for partner-driven intake, loses regularly to a firm that responds in 20 minutes with a CV match and rate quote.

SleekAI compresses that turnaround to seconds without diluting the quality of the match, because the bot reads your actual roster postmeta rather than guessing. The economic case is direct, where a single retained expert engagement averages between $15,000 and $80,000 in billing over a case lifecycle, and even a 10 percent lift in inquiry conversion compounds into hundreds of thousands of annual revenue for a mid-size firm. Beyond conversion, the bot enforces consistency in how rates, retainers, and Daubert history are disclosed.

Junior staff vary in how they describe past exclusions or limitation orders, and an inconsistent disclosure can become a credibility problem at the Daubert hearing itself. The bot reads the same postmeta every time, so the firm's representations match the expert's CV. The bot also creates a defensible record of pre-engagement communications, which becomes useful when fee disputes or scope disagreements arise mid-case.