Wayland Radin

LEGAL, AI, INNOVATION & PRACTICE TECHNOLOGY

AI Product & Workflow Development

- Bespoke GenAI tool design

- Prompt and output schema development

- Relativity-integrated AI workflows

- Human-in-the-loop quality control

Attorney-Technology Translation

- Requirements gathering from attorneys

- Converting legal objectives into specs

- Advising on AI limits, risk, and adoption

- Cross-functional work with developers and SMEs

Discovery Analysis & Validation

- TAR 1.0 / TAR 2.0 / CAL

- Recall, precision, elusion, and sampling

- Privilege, relevance, issue, and hot-doc workflows

- Relativity, Brainspace, aiR, Azure OpenAI

Legal technology and AI innovation leader with 12+ years designing, validating, and operationalizing advanced

discovery, analytics, and GenAI workflows for complex litigation, investigations, and regulatory matters. Experienced translating attorney needs into bespoke AI-enabled tools, defensible workflows, product requirements, and scalable services. Deep background in Relativity, Brainspace, TAR, privilege, prompt design, model evaluation, and human-in-the-loop validation.

INNOVATIVE DRIVEN

VICE PRESIDENT, ADVANCED TECHNOLOGY & INNOVATION August 2020 - PRESENT

Director of Operations, Analytics December 2015 - June 2021

Project Manager, Analytics & Managed Review January 2012 - December 2015

- TAR specialist with a record of devising and implementing bespoke TAR workflows, achieving efficiency gains

and cost reductions of up to 80% compared to conventional linear workflows.

- Extensive experience supporting Second Request matters, with deep knowledge of regulatory expectations,

accelerated timelines, and defensible review protocols.

- Skilled in overseeing large project teams, managed up to 400 attorneys and staff in dynamic, fast-paced

settings.

- Trusted client liaison with expertise in spearheading multiple high-stakes projects — each with revenues

ranging from $5 million to $1 billion.

Member, The Sedona Conference Working Group 1 Brainstorming Group on Discoverability and Admissibility of GenAI-Related Data.

Forest GenAI Platform: Led development and operationalization of a bespoke GenAI platform integrated with

Relativity, enabling case teams to apply structured prompts to document populations and write AI-generated

outputs back to review fields.

AI-Assisted Privilege & Logging: Designed workflows to identify attorney involvement, normalize names, draft

privilege descriptions, and support human review/QC, reducing manual drafting burden while preserving

attorney oversight.

Attorney-Facing Use Case Design: Translated litigation team needs into reusable workflows for relevance

assessment, issue classification, hot document identification, deposition preparation, chronologies, entity

extraction, image analysis, and synthesis memoranda.

Validation & Defensibility: Built practical validation approaches for GenAI and analytics workflows, including

sample design, agreement analysis, recall/precision evaluation, elusion testing, and prompt/model comparison.

University of Michigan Law School

Juris Doctor

2010

Stanford Graduate School of Business

Stanford Graduate School of Business

2008

Lawrence University

Bachelor of Arts, Philosophy and Government

2006