TECHNOLOGY
Beyond Legal Compliance: Akshat Singhal on AI, Enterprise Legal Operations and the Future of LegalTech
Legistify Founder Akshat Singhal explains how AI, integrated legal workflows and reliable data are transforming enterprise legal operations while keeping human oversight, accountability and strategic decision-making at the centre.
Akshat Singhal, Founder & CEO, Legistify
As
artificial intelligence reshapes enterprise operations, legal departments are
undergoing a transformation of their own. Traditionally associated with
compliance, documentation and risk mitigation, in-house legal teams are
increasingly expected to contribute to business strategy, operational
efficiency and informed decision-making. However, fragmented systems, manual
processes and growing volumes of legal information continue to make this
transition challenging.
At
the centre of this shift is the emergence of AI-powered legal technology, which
promises to move beyond document management and basic automation towards
intelligent, connected legal workflows. Akshat
Singhal, Founder & CEO of Legistify, has witnessed this evolution
firsthand. What began in 2015 as an effort to make legal services more
accessible has developed into an enterprise-focused legal technology platform
addressing the complexities of contracts, litigation, intellectual property and
legal notices.
In
this interview, Singhal discusses Legistify’s entrepreneurial journey, the
growing role of agentic AI in legal operations, the importance of human
oversight and why the future of enterprise legal functions will depend as much
on integrated data and operational visibility as on technological innovation.
1. What inspired the founding of Legistify, and how has
the vision evolved?
I
ran into the legal system as a student, while exiting my first venture. Even a
small transaction was slow, opaque and expensive, and I felt that businesses
shouldn’t have to put up with that. We started in 2015 as a marketplace to make
legal services accessible. Over time we saw that the real problem sat inside
enterprises, in how legal teams manage their work every day. So we moved to
B2B, then to software. Today our vision is to be the AI-native operating system
for enterprise legal teams.
2. What are the most common challenges enterprises face
in managing contracts, litigation and legal workflows?
Fragmentation.
Most legal teams run on a mix of spreadsheets, email threads and several
disconnected tools. Contracts, cases, trademarks and notices each sit in a
different place. A renewal date lives in one system while the related dispute
lives in another, so someone has to connect them manually. Small teams handling
thousands of contracts and hundreds of live matters end up spending their time
on tracking instead of advising the business.
3. How is AI transforming enterprise legal operations?
The
biggest shift is from AI that assists to AI that acts. Early tools answered
questions or drafted a clause. The next phase is agents that do the work:
reviewing a contract against your playbook, flagging deviations, summarising a
case file and surfacing risks across a portfolio. In the coming years, the
impact will be greatest where volume is high and rules are clear, such as
contract review, renewals, notices and case tracking. That frees lawyers for
judgment.
4. How can legal teams balance efficiency and automation
with accuracy, confidentiality and accountability?
Treat
AI output as something to be reviewed, not accepted. In practice, that means
version control on every AI-generated draft, clear records of who reviewed
what, and enterprise-grade security around the data. Our approach is to encode
a company’s own standards into the platform, so the AI flags anything that
departs from them and routes it to the right person. Automation handles the
volume, and humans keep the decisions.
5. How can integrated platforms improve visibility,
collaboration and decision-making?
When
contracts, litigation, IP and notices sit in one system, the legal team finally
sees the whole picture. A GC can see exposure across a business unit without
chasing four people for updates. Business teams, finance and external counsel
can work from the same source of truth. Better decisions follow from better
visibility, and that is hard to achieve when information is scattered.
6. How can legal teams move beyond compliance to become
strategic partners?
By
getting out from under administrative work. Legal teams become strategic when
they can answer business questions quickly: what is our exposure, which
contracts are up for renewal, where are we losing time or money. That requires
reliable data and automation of routine tasks. Once legal can report on risk
and performance the way finance reports on numbers, it earns a seat at the
planning table.
7. What are the biggest challenges in implementing legal
technology, and how can organisations ensure adoption?
Migration
anxiety and change fatigue. Teams worry about moving years of contracts and
cases, and about learning another tool. The answer is to make onboarding easy:
bulk uploads of existing records, integrations with the tools people already
use, and dedicated implementation support. Adoption also improves when the tool
saves people time in the first week, not the first quarter.
8. How can enterprises build trust in AI-generated
insights while keeping humans in control?
Trust
comes from traceability. People should be able to see where an answer came
from, which version was approved and who signed off. AI should surface the
moments where human judgment is needed, not make those calls itself. Legal
professionals are right to be sceptical of anything they cannot audit, so the
systems that win will be the ones that show their work.
9. What trends will shape the future of LegalTech in
India?
Three
stand out. First, agentic AI moving from drafting help to completing tasks.
Second, data becoming the real differentiator. Many tools use similar
underlying models, but the platforms with deep, real legal data from Indian
courts, contracts and IP records will perform better. Third, consolidation, as
enterprises move away from stitching together point solutions. India also has a
distinct advantage: a complex legal system forces you to build rigorous
products, and those can travel globally.
10. One piece of advice for business leaders and legal
professionals?
Start
with one real workflow that causes pain, fix it properly, and build from there.
Do not wait for a perfect AI strategy. Choose technology that fits your team’s
actual work, keeps humans in the loop and lets you measure the result.
As
enterprise legal functions evolve, the conversation around technology is
shifting from individual productivity tools to broader operational
transformation. Singhal’s perspective highlights how AI, integrated workflows
and reliable legal data can help organisations reduce administrative burdens
while improving visibility into risks, obligations and business performance.
At
the same time, the growing capabilities of AI reinforce the importance of
traceability, information security and human accountability. For legal
departments, the opportunity lies not in automating every decision, but in
building systems that allow professionals to focus on work requiring
experience, interpretation and strategic judgment. As adoption accelerates,
organisations that prioritise practical use cases, measurable outcomes and
responsible implementation will be better positioned to develop efficient and
future-ready legal functions.
As artificial intelligence reshapes enterprise operations, legal departments are undergoing a transformation of their own. Traditionally associated with compliance, documentation and risk mitigation, in-house legal teams are increasingly expected to contribute to business strategy, operational efficiency and informed decision-making. However, fragmented systems, manual processes and growing volumes of legal information continue to make this transition challenging.
At the centre of this shift is the emergence of AI-powered legal technology, which promises to move beyond document management and basic automation towards intelligent, connected legal workflows. Akshat Singhal, Founder & CEO of Legistify, has witnessed this evolution firsthand. What began in 2015 as an effort to make legal services more accessible has developed into an enterprise-focused legal technology platform addressing the complexities of contracts, litigation, intellectual property and legal notices.
In this interview, Singhal discusses Legistify’s entrepreneurial journey, the growing role of agentic AI in legal operations, the importance of human oversight and why the future of enterprise legal functions will depend as much on integrated data and operational visibility as on technological innovation.
1. What inspired the founding of Legistify, and how has the vision evolved?
I ran into the legal system as a student, while exiting my first venture. Even a small transaction was slow, opaque and expensive, and I felt that businesses shouldn’t have to put up with that. We started in 2015 as a marketplace to make legal services accessible. Over time we saw that the real problem sat inside enterprises, in how legal teams manage their work every day. So we moved to B2B, then to software. Today our vision is to be the AI-native operating system for enterprise legal teams.
2. What are the most common challenges enterprises face in managing contracts, litigation and legal workflows?
Fragmentation. Most legal teams run on a mix of spreadsheets, email threads and several disconnected tools. Contracts, cases, trademarks and notices each sit in a different place. A renewal date lives in one system while the related dispute lives in another, so someone has to connect them manually. Small teams handling thousands of contracts and hundreds of live matters end up spending their time on tracking instead of advising the business.
3. How is AI transforming enterprise legal operations?
The biggest shift is from AI that assists to AI that acts. Early tools answered questions or drafted a clause. The next phase is agents that do the work: reviewing a contract against your playbook, flagging deviations, summarising a case file and surfacing risks across a portfolio. In the coming years, the impact will be greatest where volume is high and rules are clear, such as contract review, renewals, notices and case tracking. That frees lawyers for judgment.
4. How can legal teams balance efficiency and automation with accuracy, confidentiality and accountability?
Treat AI output as something to be reviewed, not accepted. In practice, that means version control on every AI-generated draft, clear records of who reviewed what, and enterprise-grade security around the data. Our approach is to encode a company’s own standards into the platform, so the AI flags anything that departs from them and routes it to the right person. Automation handles the volume, and humans keep the decisions.
5. How can integrated platforms improve visibility, collaboration and decision-making?
When contracts, litigation, IP and notices sit in one system, the legal team finally sees the whole picture. A GC can see exposure across a business unit without chasing four people for updates. Business teams, finance and external counsel can work from the same source of truth. Better decisions follow from better visibility, and that is hard to achieve when information is scattered.
6. How can legal teams move beyond compliance to become strategic partners?
By getting out from under administrative work. Legal teams become strategic when they can answer business questions quickly: what is our exposure, which contracts are up for renewal, where are we losing time or money. That requires reliable data and automation of routine tasks. Once legal can report on risk and performance the way finance reports on numbers, it earns a seat at the planning table.
7. What are the biggest challenges in implementing legal technology, and how can organisations ensure adoption?
Migration anxiety and change fatigue. Teams worry about moving years of contracts and cases, and about learning another tool. The answer is to make onboarding easy: bulk uploads of existing records, integrations with the tools people already use, and dedicated implementation support. Adoption also improves when the tool saves people time in the first week, not the first quarter.
8. How can enterprises build trust in AI-generated insights while keeping humans in control?
Trust comes from traceability. People should be able to see where an answer came from, which version was approved and who signed off. AI should surface the moments where human judgment is needed, not make those calls itself. Legal professionals are right to be sceptical of anything they cannot audit, so the systems that win will be the ones that show their work.
9. What trends will shape the future of LegalTech in India?
Three stand out. First, agentic AI moving from drafting help to completing tasks. Second, data becoming the real differentiator. Many tools use similar underlying models, but the platforms with deep, real legal data from Indian courts, contracts and IP records will perform better. Third, consolidation, as enterprises move away from stitching together point solutions. India also has a distinct advantage: a complex legal system forces you to build rigorous products, and those can travel globally.
10. One piece of advice for business leaders and legal professionals?
Start with one real workflow that causes pain, fix it properly, and build from there. Do not wait for a perfect AI strategy. Choose technology that fits your team’s actual work, keeps humans in the loop and lets you measure the result.
As enterprise legal functions evolve, the conversation around technology is shifting from individual productivity tools to broader operational transformation. Singhal’s perspective highlights how AI, integrated workflows and reliable legal data can help organisations reduce administrative burdens while improving visibility into risks, obligations and business performance.
At the same time, the growing capabilities of AI reinforce the importance of traceability, information security and human accountability. For legal departments, the opportunity lies not in automating every decision, but in building systems that allow professionals to focus on work requiring experience, interpretation and strategic judgment. As adoption accelerates, organisations that prioritise practical use cases, measurable outcomes and responsible implementation will be better positioned to develop efficient and future-ready legal functions.
About Legistify
Founded
in 2015, Legistify is a Gurugram-based AI-native enterprise legal operations
platform focused on transforming how organisations manage their legal
work. Its platform brings together Contract Lifecycle Management,
Litigation Management, Intellectual Property Rights Management and Legal Notice
Management within an integrated digital environment. Its AI-powered workspace,
Codex, supports legal professionals across these workflows by helping them
access information, analyse documents and streamline routine activities. Legistify
aims to help enterprise legal departments improve operational visibility,
strengthen collaboration, reduce manual effort and make more informed decisions
while maintaining human oversight of critical legal processes.
Founded in 2015, Legistify is a Gurugram-based AI-native enterprise legal operations platform focused on transforming how organisations manage their legal work. Its platform brings together Contract Lifecycle Management, Litigation Management, Intellectual Property Rights Management and Legal Notice Management within an integrated digital environment. Its AI-powered workspace, Codex, supports legal professionals across these workflows by helping them access information, analyse documents and streamline routine activities. Legistify aims to help enterprise legal departments improve operational visibility, strengthen collaboration, reduce manual effort and make more informed decisions while maintaining human oversight of critical legal processes.
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