Webinar for in-house legal teams

Fewer steps, bigger outcomes

Why in-house legal teams are choosing CoCounsel Legal

Wednesday 18 November 2026 | 12 pm AEDT

Cocounsel Legal in-house

The business needs a contract reviewed, a risk explained or a decision supported. Your team needs time to assess the details and give clear advice. Meanwhile, the next request is already waiting.

Join Tyrilly Csillag and Guy Manning for a practical look at how CoCounsel Legal can help your team answer the business faster. It’s Fiduciary-Grade AI™, built with practising lawyers to meet the standard the legal profession demands. We’ll show how it brings Westlaw, Practical Law and your organisation’s own knowledge together in one agentic AI experience for research, review and drafting.

Describe what you need in plain language. CoCounsel Legal builds a plan and works through each step, so the first pass arrives done. More work stays in-house, and you have more time to consider the commercial implications and advise the business.

Australian law is being asked to prove its work. So is our AI. You’ll see every step CoCounsel Legal took and every source it relied on, so you can check the analysis before you advise. The judgement on what to recommend stays with you.

Wednesday 18 November 2026

12 pm AEDT

Live webinar

What you'll see

In the session, you’ll see how to:

Get to the issues in a contract sooner

Review an incoming agreement, flag the clauses that need attention and get a marked-up version with the risks and reasoning explained.

Research the questions behind a business decision

Use CoCounsel Legal to plan and run the research across Westlaw and Practical Law, then get a fully cited report with references you can follow and check.

Advise at the speed of the decision

Turn the analysis into a recommendation in the language of the business, with the drafting or next steps your stakeholders need to move forward.

Close the shadow AI gap

Explore how a secure environment built for legal work can help your team move away from unsanctioned public AI tools.

Fewer steps for your team. Bigger outcomes the business can see.

Who should attend

General counsel, heads of legal, senior in-house counsel and legal operations leaders responsible for their team’s capacity, legal service delivery and adoption of legal technology.

CoCounsel Legal in practice

  • Practical demonstrations for in-house legal teams
  • Research, contract review and advice for the business
  • Register and we’ll send you the recording

Speakers

Tyrilly Csillag, Strategy Director, Legal Segment, Asia and Emerging Markets, Thomson Reuters

Tyrilly Csillag
Strategy Director, Legal Segment, Asia and Emerging Markets, Thomson Reuters

Tyrilly is a legal tech advocate who was included in CIO Magazine’s 10 Most Influential Women Leaders in Legal Services 2024. As an Australian admitted solicitor (New South Wales and High Court of Australia) and former Managing Counsel, she brings over a decade of legal practice and a perpetual curiosity for using technology to do things better.

Tyrilly joined Thomson Reuters as a Senior Legal Editor for Practical Law in 2017, with a focus on tech law, data protection and cybersecurity. She has held roles including Director of Legal Transformation for A/NZ, and is now Strategy Director for Legal Segment across APAC, the Middle East and Africa. Tyrilly is on a mission to elevate the legal tech transformations of Thomson Reuters’ customers.

Photo of Guy Manning, AI Solutions and Legal Technology Consultant, Thomson Reuters

Guy Manning
AI Solutions and Legal Technology Consultant, Thomson Reuters

Guy is a solicitor and legal technology and AI consultant with 15 years’ experience advising legal, corporate, and government organisations on modernising complex, regulated, and knowledge-intensive functions.

His work brings together emerging technology, process improvement, and commercial strategy. He specialises in helping organisations put digital platforms and emerging technologies, particularly artificial intelligence, into practice by turning complexity into practical, defensible operating models that improve efficiency, support adoption, and deliver measurable business outcomes.

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