News & insights

News

The Sunday Times ‘Top 100 Best Companies’ recognises Kilburn & Strode with a 2-star ranking

Kilburn & Strode has been recognised as a 2-star company Trainee Daniel Wood gives us an overview of how we have got here and what this means.

Updates

Top tier ranking: Kilburn & Strode’s Trade mark team on ‘rocket ride’ in glowing review by WTR 1000

World Trade Mark Review release 2020 rankings, recognising the firm’s leading individuals and ambitious European outlook.

CRISPR

CRISPR priority appeal still alive?

Although the oral proceedings in the CRISPR priority appeal, T 844/18, concluded on 16 January 2020 with the Board of Appeal upholding the opposition division’s decision to revoke CRISPR patent EP2771468, the story is not over yet.

Case law

Mission Impopsicle? – Japanese ice cream maker Akagi Nyugyo, the UKIPO, and implicit disclosure

Relatively unknown outside Japan, Akagi Nyugyo is Japan’s biggest ice cream manufacturers with a staggering 400 million of its popsicles sold annually.

Updates

Kilburn & Strode receives UK Patent Attorney Firm of the Year award

We’re extremely proud to announce, the firm’s patent team has been selected as the recipient of the UK Patent Attorney Firm of the Year award at the Global IP Awards by IAM and WTR.

Brexit

Brexit - Quick tips for holders of EU-wide registered rights

Things to consider for EU-wide rights holders.

Brexit

2020 Brexit: what you need to know

Since the deadline to agree a Brexit deal of 31 October 2019 was extended to 31 January 2020, the UK’s legal landscape has changed. We look at the effects on legislation, and the practical effects for IP rights holders.

News

EPO refuses to name machine as legal inventor

The EPO has now issued its first-instance decision refusing the DABUS applications in which the applicant tried to specify DABUS, a computer program, as the inventor of two European patent applications.

Thoughts

AI and drug discovery

Once upon a time, drug discovery was limited by the imagination of the scientists involved. But Artificial Intelligence (AI) / Machine Learning (ML) is pushing the old boundaries of drug discovery in exciting ways.

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