Weekday AI

Proactive software engineer recruitment via referrals

Junior Transactional Attorney

Legal Counsel & Legal SupportConfirmed live in the last 24 hours

Part-timeRemote in India$70 - $90 /hr

About the Job

Requirements

The candidate must have 1–3 years of transactional legal work experience at a law firm or within an in-house legal team.
The candidate must have foundational experience drafting, reviewing, negotiating, and redlining commercial agreements.
The candidate must be familiar with Master Services Agreements, Non-Disclosure Agreements, and other commercial contracts.
The candidate must understand contractual provisions, legal terminology, risk allocation, and negotiation principles.
The candidate must have written and verbal communication skills and attention to detail.
The candidate must have analytical and critical-thinking abilities, including the ability to explain legal reasoning and translate it into actionable feedback.
The candidate must be interested in legal technology, artificial intelligence, and applying AI to transactional legal workflows.
The candidate must be able to work independently and collaborate with cross-functional teams.
Required skills include transactional law; contract drafting and review; contract redlining; commercial agreements; MSA and NDA review; legal research and analysis; contract risk assessment; written communication; and attention to detail.

Responsibilities

Perform simulated contract negotiations, review contractual language, and conduct redlining exercises to identify risks and recommend revisions.
Review AI-generated responses to contract-related scenarios and assess their legal accuracy, relevance, completeness, and practical applicability.
Apply evaluation frameworks, grading rubrics, and assessment criteria to evaluate AI performance on transactional legal tasks.
Identify contractual risks, ambiguous provisions, unfavorable terms, and potential compliance concerns, and provide recommendations for improvement.
Deliver structured feedback to improve AI models’ understanding of contractual language, legal reasoning, and negotiation strategies.
Work with product, engineering, and research teams to refine datasets, evaluation guidelines, and best practices for AI-powered contract review.
Ensure evaluations are objective, detailed, and consistent with established legal standards and task-specific guidelines.

Desired Qualifications

Previous exposure to legal AI products, legal technology platforms, or AI training and evaluation initiatives.
Internship or professional experience at a corporate law firm.
Exposure to M&A transactions, fund formation, or other complex corporate legal matters.
Experience evaluating legal documents against structured criteria or established review guidelines.
Good-to-have skills include legal AI and legal technology; AI model evaluation and training; corporate law firm experience; mergers and acquisitions; fund formation; contract negotiation; legal data annotation and quality assessment; and experience with technology-sector agreements.

Junior Transactional Attorney

Weekday AI · India (Remote) · Contract · Posted 2026-10-19

Workplace: remote

Department: AI Training

Description

This role is for one of our clients

Pay: 70–90/hour

Role Type: Contractor

Location: Remote

We are seeking a detail-oriented Junior Transactional Attorney for a part-time opportunity at the intersection of legal practice and artificial intelligence. This role is ideal for early-career lawyers with foundational experience in transactional legal work, particularly contract drafting, reviewing, and redlining within the technology or corporate sector.

As part of this role, you will contribute your legal expertise to the training and evaluation of advanced AI systems designed for contract review and negotiation. You will assess AI-generated responses to legal scenarios, perform simulated contract negotiations, and provide structured feedback to improve the accuracy, consistency, and quality of AI-driven legal solutions.

This position offers an opportunity to apply practical legal judgment to emerging technologies while collaborating with professionals across legal, product, and research teams.

Requirements

Key Responsibilities

Contract Drafting and Redlining: Perform simulated contract negotiations, review contractual language, and conduct redlining exercises to identify risks and recommend appropriate revisions.
AI Response Evaluation: Review AI-generated responses to contract-related scenarios and assess their legal accuracy, relevance, completeness, and practical applicability.
Legal Quality Assessment: Apply defined evaluation frameworks, grading rubrics, and assessment criteria to evaluate AI performance on transactional legal tasks.
Risk Identification: Identify contractual risks, ambiguous provisions, unfavorable terms, and potential compliance concerns, providing clear recommendations for improvement.
Feedback and Documentation: Deliver structured, actionable feedback to improve AI models' understanding of contractual language, legal reasoning, and negotiation strategies.
Cross-Functional Collaboration: Work with product, engineering, and research teams to refine datasets, evaluation guidelines, and best practices for AI-powered contract review.
Consistency and Quality Control: Ensure evaluations are objective, detailed, and consistent with established legal standards and task-specific guidelines.

Required Qualifications

1–3 years of experience in transactional legal work at a law firm or within an in-house legal team.
Foundational experience in drafting, reviewing, negotiating, and redlining commercial agreements.
Familiarity with contractual documents such as Master Services Agreements (MSAs), Non-Disclosure Agreements (NDAs), and other commercial contracts.
Strong understanding of contractual provisions, legal terminology, risk allocation, and negotiation principles.
Excellent written and verbal communication skills, with exceptional attention to detail.
Strong analytical and critical-thinking abilities, including the ability to explain legal reasoning and translate it into actionable feedback.
Interest in legal technology, artificial intelligence, and the application of AI to transactional legal workflows.
Ability to work independently while collaborating effectively with cross-functional teams in a dynamic environment.

Must-Have Skills

Transactional Law
Contract Drafting and Review
Contract Redlining
Commercial Agreements
MSA and NDA Review
Legal Research and Analysis
Contract Risk Assessment
Written Communication and Attention to Detail

Good-to-Have Skills

Legal AI and Legal Technology
AI Model Evaluation and Training
Corporate Law Firm Experience
Mergers and Acquisitions (M&A)
Fund Formation
Contract Negotiation
Legal Data Annotation and Quality Assessment
Experience with technology-sector agreements

Preferred Qualifications

Previous exposure to legal AI products, legal technology platforms, or AI training and evaluation initiatives.
Internship or professional experience at a corporate law firm.
Exposure to M&A transactions, fund formation, or other complex corporate legal matters.
Experience evaluating legal documents against structured criteria or established review guidelines.

Why Consider This Opportunity?

Work at the intersection of law and technology: Apply your transactional legal expertise to emerging AI applications.
Influence legal AI development: Help improve how AI systems interpret contracts, identify risks, and support legal decision-making.
Expand your professional experience: Develop expertise in legal AI evaluation, contract analysis, and technology-enabled legal workflows.
Collaborate across disciplines: Work with legal, product, and research professionals to improve AI-driven contract review solutions.
Flexible part-time engagement: Contribute your expertise while maintaining flexibility in your professional schedule.

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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