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Home / Product companies / XI · Traditional industries going digital / Legaltech / What legaltech companies hire for
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What legaltech companies hire for Industry Vertical 43, Legaltech, in Domain XI, Traditional industries going digital. The short answer The companies in Legaltech build the software lawyers and legal teams work in. Their products draft, sign and track contracts, search the law with research databases and AI assistants, run legal departments and law firms, sift evidence for court cases, and offer legal help online. Wolters Kluwer, a large professional-information company, hires more than all the others together, from Pune and Chennai, with the contract-management company Icertis, the legal-AI company Harvey and the legal-department software company Onit behind. Its research and workflow products are built on the Microsoft stack and tested heavily, so .NET engineers are about three times as common here as at a typical product company and test engineers more than twice as common. Cloud engineers are above their usual weight, and Python engineers are about three times as common at Harvey and Onit. Java and frontend engineers are less common than usual. This is a senior workforce. Hiring was concentrated in January to June 2026 and fell very sharply between July and September. Who gets hired, and why .NET Test Cloud and DevOps Java backend and full-stack GenAI Python Full-stack Also present

.NET engineers. Wolters Kluwer's legal research and workflow products run on the Microsoft stack, and Icertis builds much of its platform the same way. .NET engineers build them in C# with Angular, SQL Server and ASP.NET on Azure. They are about three times as common here as at a typical product company, and they are hired almost entirely with experience.

Test engineers. Legal research and workflow products must return the right answer every time. Wolters Kluwer hires almost all the testers here, in Playwright and Selenium with Java and C#, on Azure DevOps and Jenkins. Testers are more than twice as common here as elsewhere.

Cloud and DevOps engineers. Wolters Kluwer, Icertis and Harvey run their products as cloud services. Cloud engineers run them in Python with Terraform, Kubernetes and CloudFormation, on Azure and AWS. They are above their usual weight.

Java backend and full-stack engineers. Wolters Kluwer and the legal-research company LexisNexis build parts of their products in Java with Spring Boot on AWS. Java is far less common here than at most product companies.

GenAI engineers. AI that reads, searches and drafts legal text is the newest product in Legaltech. Wolters Kluwer hires most of the GenAI engineers here, with the contract software company Exari Systems and Harvey, in Python and TypeScript with Azure OpenAI, Claude and Semantic Kernel. GenAI holds about its usual place, and its jobs stay open long.

Python engineers. Harvey and Onit build their products in Python with Flask, PostgreSQL and React on AWS. Python engineers are about three times as common here as elsewhere.

Full-stack engineers. Onit hires full-stack engineers in React and Ruby on Rails with PostgreSQL. They are above their usual weight, and they take the most juniors here.

Also present. Data engineers at the online legal-services company LegalZoom and the e-discovery company DISCO, generalist software engineers and platform developers at Wolters Kluwer, frontend engineers at Harvey, and a few Salesforce and Power Platform developers.

Rare here. Mobile, firmware and Node work barely appear.

The skills that set Legaltech apart The legal research platformC# and .NET with Angular, SQL Server and ASP.NET on Azure. Testing every answerPlaywright and Selenium, in Java and C#. AI over legal textAzure OpenAI, Claude and Semantic Kernel, in the GenAI postings. The legal-AI start-up stackPython with Flask, PostgreSQL and React on AWS. What is changing

These readings follow the record quarter by quarter, from October to December 2025, the third quarter of the financial year 2025-26, to July to September 2026, the second quarter of 2026-27. Hiring here comes mostly from one company, so a longer record will show whether they last.

Hiring came in a burstThere was almost no hiring at the end of 2025. Openings jumped in January to March 2026, rose again in April to June, then fell between July and September far more sharply than across product companies. AI was ahead in early 2026AI work was a larger share of hiring here than across product companies in January to March and April to June 2026. Cloud rose and test easedCloud engineers took a growing share of hiring from January to June 2026, while testing's share eased from its peak in January to March.
Persistently open roles

More jobs here are persistently open than across product companies.

Test, cloud, GenAI and Java roles stay open longest. They are posted again more often than the same roles elsewhere. The skills that turn up most often in the jobs that stay open are Flask, Terraform and CloudFormation, EKS, GCP, Jenkins and Playwright. .NET jobs fill a little faster than the same roles elsewhere. Wolters Kluwer and Icertis are regularly hiring, keeping many of their jobs open again and again. Exari Systems and LexisNexis never post a job twice. Staff roles are the hardest to fill. How long they stay open. When a job is posted again, its first and last postings are typically about three weeks apart, and rarely more than two months.
Where in the Industry Vertical the work is Market Segment 43.2

Legal research and legal AI holds most of the hiring, through Wolters Kluwer in Pune and Chennai, Harvey in Bengaluru and LexisNexis in Delhi NCR. Test, .NET, cloud, Java and GenAI engineers lead there.

Market Segment 43.1

Contract lifecycle management (CLM) software is next, through Icertis and Exari Systems in Pune, hiring .NET, cloud and GenAI engineers.

Market Segment 43.3

Legal practice and matter management software hires full-stack and Python engineers at Onit in Pune and its peers, like Mitratech and Oddr. It is the most open corner for juniors.

Market Segments 43.4 and 43.5 hire little. The e-discovery companies, DISCO and Reveal, hire senior .NET, Java, cloud, data and Python engineers in Delhi NCR and Hyderabad, and LegalZoom hires data engineers in Bengaluru.

Some companies listed here have their main home elsewhere. They are Thomson Reuters (Market Segment 33.1) and RELX (Market Segment 33.3), both in Industry Vertical 33, News, publishing and social media. Together they post many jobs, and their hiring is described where they live.

Pune has most of the work, through Wolters Kluwer, Icertis, Onit and Exari Systems. Chennai is Wolters Kluwer's second centre, Bengaluru is Harvey and the legal-tech start-ups, like SpotDraft and Oddr, Delhi NCR is LexisNexis and DISCO, and Hyderabad appears through the legal-operations company Mitratech and the e-discovery company Reveal.

The door

Entry and junior hiring is well below the average for product companies, and senior hiring is well above it.

Full-stack takes the most juniors, followed by test and cloud. Wolters Kluwer, Onit and Icertis take the most juniors. Legal practice and matter management software is the most open corner. .NET, Python, Java and GenAI roles are hired almost entirely with experience, and the e-discovery companies hire only senior engineers.
In one line If you build in .NET, test at scale or run cloud platforms, legal software is a senior destination centred on Pune, and AI that reads the law is its newest work. Terms used on this page Contract lifecycle management is software that drafts, negotiates, signs, stores and tracks a company's contracts. E-discovery is finding, collecting and reviewing the emails and documents that matter in a court case or investigation. Azure OpenAI is Microsoft's service for using OpenAI's models inside Azure, and Semantic Kernel is Microsoft's toolkit for building AI applications and agents on it.
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This page reads the openings. The story of the companies is on Legaltech.

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