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Law students have no real way to show a firm they mean it.

Tulio Tagliaferri

Founder, BigLaw Bear

Penn Carey Law ’27

Today’s recruiting platforms are incomplete in one of two ways. Some charge firms to advertise, so students only see the firms that paid. Others charge students, which is unfair to the people with the least money. Both are partial versions of the platform recruiting needs. BigLaw Bear lists every major firm, whether or not it pays us anything, and it is free for every student.

When I recruited, I applied directly to 47 law firms. In every cover letter I wrote some version of the same line:

“I am super excited to work at blank.”

What was missing, and what hurt both me and the recruiting teams reading those letters, was a way to show special interest. That’s what we’re solving for.

Why a Gold Medal Means Something

A Gold Medal works like early decision. It is a student telling one firm, and only that firm, that it is their first choice. Gold Stars are a short list of three. Picks are limited and changes are capped, so a pick costs the student something, and that is what makes it credible. Students verify with their school email.

For your firm, that changes three things:

  • Yield. You spend interview and callback time on students who already want you, so more of your offers should turn into acceptances.
  • Earlier, warmer conversations. You know who is interested before applications open, so you can reach out first.
  • Interest you can check. Instead of reading the same line in every cover letter, you can see whether a student actually picked you.

Your recruiting team sees the Medals and Stars given to your firm, never the rest of a student’s list.

Students Who Want to Be Found

Every student here chose to be visible to firms. Right now that is 817 students with a complete, verified profile your firm can see. Your team sees their recruiting profile: school, class year, background, and the cities and practice areas they want. Resumes and transcripts open once a student picks your firm, applies or RSVPs to one of your events.

You can reach them before applications open: host events, email the students you choose, and put your application in front of them on the Job Board.

Club Sponsorships in One Place

Every summer, firms get hundreds, sometimes thousands, of sponsorship emails, menus and price sheets from law school clubs. BigLaw Bear puts it all in one place: the request, the menu, the invoice and the event. More than 40 law firms used this exact system over the past year to work with the Penn Business Law Association, all handled through BigLaw Bear.

Sign In to the Firm Portal

One Place for Law Firm Recruiting

This will become the one-stop shop for law firm recruiting, club management and everything in between. Much of it is already here.

40 of the Am Law 100 have a firm portal account.

Firm Directory
Firm profiles students read before they apply, with pay, offices, rankings and the source and date behind each fact.
Job Board
Application openings with apply links, open dates and deadlines, tracked by students in one place.
Gold Medals and Gold Stars
One first choice and a short list, seen by each firm before applications open.
Events
Office visits and practice-group conversations, with RSVPs and attendance.
Student Clubs
Club pages, members and events, plus sponsorship requests to firms.
Career Offices
School career offices share announcements and advising with their students.

How We Keep It Honest

Students have to trust where their picks go, and firms have to trust what they read. These are the rules the whole product runs on.

  • Sourced or blank. Every fact on your profile cites your own site or a named ranking, with the date we read it. Estimates say so. What we cannot source stays blank.

  • Students stay in control. They can hide from a firm, pause recruiting or turn off outreach, and your portal respects it.

  • Nothing to rip out. Use one piece or all of them. Applications export as CSV for your ATS.

  • No AI on anyone's data. No automated scoring or screening of students, and no training on platform data.

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