New York City · Employment Law (Plaintiff) · Attorneys

Top New York City Employment Law (Plaintiff) Attorneys

Named individuals AI assistants cite when New York City buyers ask for employment law (plaintiff) recommendations.

66 attorneys named across 551 probe slots Source snapshot: NYC-EMP-2026-06-v3.1 ← Back to firm leaderboard
By citation volume only. Attorney-level mentions are sparser than firm-level, so these are not statistically ranked. Use the firm leaderboard for share % and confidence intervals.
# Attorney Citations
1 Douglas Wigdor 20
2 Anne Vladeck 5
3 Jason Zuckerman 5
4 David Sanford 5
5 Jeffrey Liddle 5
6 Roberta Kaplan 4
7 Jordan A. Thomas 4
8 Jeanne Christensen 4
9 Wayne Outten 4
10 Steven Mitchell Sack 3
11 Anne Clark 3
12 Tiffany Ma 2
13 Jian Hang 2
14 Joseph Baumgarten 2
15 Jeffrey L. Liddle 2
16 David H. Rosenberg 2
17 Emre Polat 2
18 Debra Katz 2
19 Adam T. Klein 2
20 Wendi S. Lazar 2
21 Doug Lipsky 2
22 D. Maimon Kirschenbaum 2
23 Mary Philippatos 2
24 Stephen M. Kohn 2
25 Stuart Meissner 2
26 Adam Klein 2
27 Jordan Thomas 2
28 Gloria Allred 1
29 Gary Pacht 1
30 Evan Brustein 1
31 Ossai Miazad 1
32 Genie Harrison 1
33 Tanvir H. Rahman 1
34 Mariann Wang 1
35 Ilene Jaroslaw 1
36 Andrew Levander 1
37 Gary Friedman 1
38 Louis Pechman 1
39 Samuel Estreicher 1
40 Andrew Lichtenstein 1
41 Evan Spelfogel 1
42 Gary Orseck 1
43 Keisha-Ann Gray 1
44 Andrew Levine 1
45 William Cafaro 1
46 David E. Gottfried 1
47 Shannon Liss-Riordan 1
48 David Rich 1
49 Megan Goddard 1
50 Andrea Paparella 1
51 Jason Pickholz 1
52 Tanvir Rahman 1
53 Maryam Goddard 1
54 Mara Goddard 1
55 Alan Sklover 1
56 Valdi Licul 1
57 Linda Friedman 1
58 Eric Raphan 1
59 Bryan Arcé 1
60 M.A. Sattar 1
61 Mohammed P. Miah 1
62 Parisis G. Filippatos 1
63 Daniel H. Weberman 1
64 Daniel Weberman 1
65 Scott A. Lucas 1
66 Steven M. Sack 1

Showing top 66 of 66 attorneys named in the scan corpus.

Methodology — attorney layer

Attorney mentions are extracted from the same LLM responses used for the firm-level ranking. A post-scan pass uses Claude Sonnet to parse each response for person-name mentions associated with a firm — e.g. "Stephen Cherner at Aronson Mayefsky" becomes an AttorneyCitation row linking Cherner → Aronson Mayefsky → scan.

Because attorney mentions are 3-10× sparser than firm mentions, statistical share / CI math doesn't work cleanly at our scan budget. We publish raw citation counts and a model-coverage indicator (how many of the 4 LLMs named this attorney) instead of a share %. This is the same logic Chambers uses for attorney-level rankings vs. firm-level.

Citation volume reflects how often AI assistants name a given attorney. It does NOT reflect competence, courtroom record, or peer review. For statistically-supported firm rankings, see the firm leaderboard.

Source snapshot NYC-EMP-2026-06-v3.1 · Jun 26, 2026 · Methodology v3.1. Full methodology: viclaro.app/leaderboards/methodology.