Why AI data enrichment beats manual workflows
For years, firms have been wrestling with the same problem: how to improve the quality of matter data. It’s well understood that good data unlocks better pricing, smoother business development, sharper pitching and more accurate reporting. But the ways most firms currently try to tackle the challenge are cumbersome, inconsistent and often unsustainable.
The manual approaches firms rely on
Most firms fall back on a familiar set of tactics:
- Extra headcount – pricing and BD teams are asked to manually tag matters in experience systems or home-grown databases.
- Lawyer self-reporting – fee earners are pressured to complete ever-longer matter opening or closing forms.
- Manual clean-up projects – firms throw heavy project resources at retrospective data cleansing, sometimes with inconsistent ad hoc use of AI on the side.
The outcome is rarely satisfactory. Manual tagging is slow and expensive. Lawyer reporting is patchy and prone to human error. Project-based clean-ups lose momentum and data quality quickly deteriorates again.
Why AI enrichment changes the game
By contrast, AI data enrichment—done properly—offers a different path. Platforms like Ayora can transform the way firms approach matter data because the process is:
- Programmatic, fast and infinitely scalable – AI can process both back-book data and new matters as they close.
- Consistently accurate – no variance in output quality from individual to individual.
- Cost-effective at scale – more output for less spend compared to manual headcount.
- Non-disruptive – lawyers stay focused on billable work instead of filling in forms.
- Secure and compliant – built with professional services’ regulatory environment in mind.
- Sustainable – not dependent on resource-intensive sprints that inevitably lose steam.
- Interconnected – enriched data can be piped into other apps, agents and systems, unlocking real usage and value.
The bigger picture
Ultimately, the choice is between continuing to fight data quality with blunt manual tools, or adopting AI enrichment that does the heavy lifting. One keeps teams bogged down in repetitive admin; the other enables firms to focus on using high-quality data for smarter pricing, business development and client delivery.
The firms that make the shift early will find themselves with a living, breathing matter database that improves over time instead of decaying. And in an environment where clients expect speed, insight and transparency, that advantage will only grow.
